Create an Account
Create an account for powerful AI tools, award-winning courses, and access to our vibrant community.
or
Already have an account?
Create an account for powerful AI tools, award-winning courses, and access to our vibrant community.
Already have an account?
Join 250,000+ professionals and teams at Microsoft, Shopify, and even NASA. 🚀
Already have an account? Login
Find the best remote jobs. Answer a few questions and we'll deploy a powerful assistant to help you search, create alerts, and more.
1 What roles are you open to?
2 Experience level
3 Work style
Did you know? If memory is enabled, Writing.io can remember your job search preferences and help you to improve your resume, craft customized outreach and more.
Category
Leads business development initiatives across UK, Ireland, and Nordic regions to identify partnerships and drive revenue growth.
Senior QA Engineer builds and maintains automated test infrastructure for web and mobile applications using Playwright and Maestro, owning product quality across the development lifecycle.
Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; www.notion.so/airalo-public/Benefits-25396a97ffca81fb9bc1f0be479f1be3
Hi, I’m Daniele, VP of Engineering at Airalo!
Engineering drives Airalo’s eSIM platform. We build the product that lets millions of people connect instantly across the globe. The challenges are exciting: high-scale systems, carrier integrations, and products spanning both B2C and B2B. What matters most to us is creating an environment where engineers can do their best work. Real ownership, autonomy, and a direct link between what you ship and business outcomes are key. You’ll work with smart, motivated people who take their craft seriously. If you want to build things that matter at global scale, this is where you do it.
Airalo’s fully remote Engineering team is growing. In this role, you’ll tackle complex technical challenges across our product ecosystem, helping build, innovate, and scale the platform that keeps millions of travellers connected worldwide.
As a Senior QA Engineer, you will join a highly collaborative team focused on an ambitious mission: bringing new users to Airalo and helping them seamlessly connect globally. In this role, you won’t just test isolated features—you will truly own product quality end-to-end, checking quality across all stages of development from initial design to release and post-launch monitoring. You will partner closely with fast-moving growth and marketing squads to support swift, high-impact product experimentation while scaling our core automation frameworks.
If you are interested in this position, please apply via the link.
By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy
We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.
Senior Solutions Consultant designs product demos and leads discovery sessions to guide prospects through the sales cycle, articulating business value and technical capabilities.
Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey.
We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further.
Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other.
Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. Any communication from our in house Talent Acquisition team will only ever come from our contentsquare.com or @contentsquare-ext.com domain. For more information, visit our careers blog.
Contentsquare is seeking a Senior Solutions Consultant to join our Americas-based team. As a trusted advisor throughout the sales cycle, the Senior Solutions Consultant plays a pivotal role in shaping how prospective customers understand the power of our digital experience analytics platform. This role combines a passion for customer experience (CX), data-driven decision-making, and strategic storytelling to clearly articulate the value Contentsquare brings to leading brands across industries. Our Solutions Consultants are the bridge between technical possibility and business value. They blend the art of persuasive storytelling with the science of analytics, helping customers envision and realize the impact of Contentsquare on their digital strategy. From discovery to demo, they drive confidence in our solution by aligning customer challenges to real-world use cases and measurable outcomes.
$200,000 - $240,000 a year
Base Compensation Range: $150,000 - $180,000 plus expected commission of $50,000 - $60,000. Total On Track Earning of $200,000 - $240,000.
For compensation, we set standard ranges for all roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only and do not include bonus, commission, equity, or benefits.
Why you should join Contentsquare
We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we’re aligned with the employees’ needs.
Here are a few we want to highlight:
- Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year
- Work flexibility: hybrid and remote work policies
- Generous paid time-off policy (every location is different)
- Lifestyle allowance
- A Culture Crew in every country we’re based in to coordinate regular activities for employees to get to know each other and bond outside of work
- Every full-time employee receives stock options, allowing them to share in the company’s success
- We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts
- And more benefits tailored to each country
Won BuiltIn Best Places To Work 2026!
Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Your personal data is used by Contentsquare for recruitment purposes only. Read our Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal here.
Your personal data will be securely stored in our hosting provider’s data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws.
Contentsquare may use AI-assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Senior full-stack developer designs, builds, and scales web applications using React, Rails, and modern cloud infrastructure to deliver AI-powered enterprise solutions.
Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize AI at scale and unlock sustained enterprise value.
Our offerings span AI solutions, data services, enterprise applications, and product engineering, tailored to industry-specific needs across healthcare, life sciences, telecom, retail, financial services, and technology. By leveraging design thinking and technology-agnostic architectures, we ensure faster time-to-value and seamless interoperability.
With a proven track record of enabling Fortune 100 enterprises and global innovators, Accellor stands as a trusted partner for organizations seeking to harness the full potential of AI. Our vision is clear: to build intelligent, connected ecosystems that deliver measurable outcomes and redefine the future of enterprise transformation.
We’re looking to hire strong Senior Software Engineers (multiple roles) with a passion for engineering to join our Product team to help us scale our platform and deliver cutting edge capabilities to our customers.
This person will be an integral part of the team that designs, builds and innovates our product. The right candidate will collaborate with a phenomenal group of software engineers, data scientists, product managers, and quality engineers to deliver and scale a transformational software product.
This role requires working from 4:30pm-1:30am IST remotely, to support a US customer.
Technologies and tools we use:
Technical Requirements:
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres.
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Senior backend engineer designs and maintains scalable, secure systems in Golang/TypeScript on AWS, mentors developers, and builds AI-powered platforms.
Job Title: Senior Golang / TypeScript Engineer
Key Skills: Golang, TypeScript, REST APIs, AWS, CI/CD, NoSQL, RDBMS, DDD, Hexagonal Architecture, AI Platforms
Experience: +8 YOE.
Location: Costa Rica
Mode: Remote
We at Coforge are hiring Senior Golang / TypeScript Engineer (#21223) with the following skill set.
Key Responsibilities
Required Skills & Qualifications
Preferred Skills:
Posted On: 29-5-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Senior backend engineer designs and deploys scalable cloud-based systems using Go, GCP, Kubernetes, and microservices while mentoring junior engineers.
Job Title: Senior Backend Developer – Go / Platform
Key Skills: Go (Golang), GCP, Microservices, REST APIs, gRPC, Kubernetes, Docker, Distributed Systems, Kafka, Google Pub/Sub, NoSQL, Relational Databases, GitOps, DevOps
Experience: +7 years of experience.
Location: Costa Rica
Mode: Remote
We at Coforge are hiring Senior Backend Developer – Go / Platform (#19695) with the following skill set
Key Responsibilities
Required Skills & Qualifications
Preferred Skills
Posted On: 29-5-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Senior backend engineer designs, builds, and deploys scalable cloud-based systems using Go, GCP, microservices, and Kubernetes while mentoring junior engineers.
Job Title: Senior Backend Developer – Go / Platform
Key Skills: Go (Golang), GCP, Microservices, REST APIs, gRPC, Kubernetes, Docker, Distributed Systems, Kafka, Google Pub/Sub, NoSQL, Relational Databases, GitOps, DevOps
Experience: +7 years of experience.
Location: Peru
Mode: Remote
We at Coforge are hiring Senior Backend Developer – Go / Platform (#19695) with the following skill set
Key Responsibilities
Required Skills & Qualifications
Preferred Skills
Posted On: 29-5-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Senior backend engineer designs, builds, and deploys high-performance cloud-based systems using Go, GCP, Kubernetes, and microservices architecture while mentoring junior engineers.
Job Title: Senior Backend Developer – Go / Platform
Key Skills: Go (Golang), GCP, Microservices, REST APIs, gRPC, Kubernetes, Docker, Distributed Systems, Kafka, Google Pub/Sub, NoSQL, Relational Databases, GitOps, DevOps
Experience: +7 years of experience.
Location: Bolivia
Mode: Remote
We at Coforge are hiring Senior Backend Developer – Go / Platform (#19695) with the following skill set
Key Responsibilities
Required Skills & Qualifications
Preferred Skills
Posted On: 29-5-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Senior Solutions Consultant designs product demos and leads discovery sessions to help prospects understand Contentsquare's analytics platform value during the sales cycle.
Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey.
We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further.
Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other.
Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. Any communication from our in house Talent Acquisition team will only ever come from our contentsquare.com or @contentsquare-ext.com domain. For more information, visit our careers blog.
Contentsquare is seeking a Senior Solutions Consultant to join our Americas-based team. As a trusted advisor throughout the sales cycle, the Senior Solutions Consultant plays a pivotal role in shaping how prospective customers understand the power of our digital experience analytics platform. This role combines a passion for customer experience (CX), data-driven decision-making, and strategic storytelling to clearly articulate the value Contentsquare brings to leading brands across industries. Our Solutions Consultants are the bridge between technical possibility and business value. They blend the art of persuasive storytelling with the science of analytics, helping customers envision and realize the impact of Contentsquare on their digital strategy. From discovery to demo, they drive confidence in our solution by aligning customer challenges to real-world use cases and measurable outcomes.
$200,000 - $240,000 a year
Base Compensation Range: $150,000 - $180,000 plus expected commission of $50,000 - $60,000. Total On Track Earning of $200,000 - $240,000.
For compensation, we set standard ranges for all roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only and do not include bonus, commission, equity, or benefits.
Why you should join Contentsquare
We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we’re aligned with the employees’ needs.
Here are a few we want to highlight:
- Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year
- Work flexibility: hybrid and remote work policies
- Generous paid time-off policy (every location is different)
- Lifestyle allowance
- A Culture Crew in every country we’re based in to coordinate regular activities for employees to get to know each other and bond outside of work
- Every full-time employee receives stock options, allowing them to share in the company’s success
- We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts
- And more benefits tailored to each country
Won BuiltIn Best Places To Work 2026!
Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Your personal data is used by Contentsquare for recruitment purposes only. Read our Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal here.
Your personal data will be securely stored in our hosting provider’s data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws.
Contentsquare may use AI-assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Provides tier 3 white-glove IT support to CEO and senior leadership team, ensuring flawless technology operations across multiple locations and time zones.
PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization.
ABOUT PAGERDUTY
PagerDuty is the AI-driven Operations Cloud trusted by over half of the Fortune 500 and nearly 70% of the Fortune 100 to keep their critical systems running smoothly. What started with three Amazon developers in 2009 has grown into a vibrant global community of 1,200+ Dutonians across five continents. We are engineers, designers, operators, and builders who believe in doing meaningful work that has real impact. We are a Great Place to Work certified organization and consistently recognized for excellence in both technology and culture.
At PagerDuty, every role has a purpose. We move fast, champion our customers, and run together - guided by five core values: Champion the Customer, Run Together, Ack & Own, Take the Lead, and Bring Your Self. If you thrive in an environment where technology problems are solved before anyone notices them, and where your craft directly enables the leaders driving company strategy, you might be our next Dutonian.
THE OPPORTUNITY
PagerDuty is looking for an Executive IT Support Engineer to join our IT Operations team. In this critical, high-impact position, you will act as the primary technology partner for our CEO and Senior Leadership Team (SLT), providing Tier 3+ white-glove service. Your mission is to ensure flawless, continuous technology operations for our executives, whether they are at our San Francisco headquarters, traveling for board meetings and earnings calls, or working from various home environments across global time zones.
In this role, you are far more than a support resource; you are a proactive partner and trusted advisor tasked with anticipating points of failure before they impact productivity. You will take full end-to-end accountability for the technology ecosystem within the Office of the CEO, maintaining the highest levels of discretion and a calm presence. By blending Tier 3+ technical expertise with a service-oriented mindset, you will ensure that technology remains seamless for our executive leaders.
Based in our San Francisco office, this position requires an onsite presence four days a week, with the flexibility for travel to provide mobile support to the executive leadership team as needed.
KEY RESPONSIBILITIES
Executive Technology Ownership
Meeting Reliability & AV Operations
AI & Productivity Tools
Technical Operations
Identity, Security & Access
Service Management & Collaboration
WHAT YOU’LL BRING
Required Experience & Skills
Bonus If You Have
WHY PAGERDUTY
At PagerDuty, you’ll do career-defining work that matters. Here’s what being a Dutonian means:
Salary Range: $95,000 - $144,100
Hesitant to apply?
We encourage you to submit your resume even if you don’t meet every requirement. We value potential and consider each candidate’s full professional story. Whether you’re exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn’t the right role or time - sign up for job alerts!
Where we work
PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in:
Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia
Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon
United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming
Candidates must reside in an eligible location, which vary by role.
How we work
Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian.
People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance.
What we offer
As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site.
Your package may include:
*Eligibility may vary by role, region, and tenure
About PagerDuty
PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses
PagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2.
Go behind-the-scenes on our careers site and @pagerduty on Instagram.
Additional Information
PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty’s Privacy Policy.
PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs.
PagerDuty uses the E-Verify employment verification program.
Senior Cloud Engineer builds integrations for industrial control systems (PLC, SCADA, HMI) using Go and TypeScript, managing vendor SDKs, Windows VMs, and full-stack platform features.
Job Title: Senior Cloud Engineer
Key Skills: Go, TypeScript, PLC, SCADA, HMI, Windows VMs, File Parsing, APIs, Industrial Integrations, CI/CD, Troubleshooting, Virtualization
Experience: +3 years of experience.
Location: Costa Rica
Mode: Remote
We at Coforge are hiring Senior Cloud Engineer (#21243) with the following skill set.
Key Responsibilities
Required Skills & Qualifications
Preferred Skills
Posted On: 29-5-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Solutions architect designs and oversees implementation of CRM, CDP, and marketing automation platforms for enterprise clients, translating business requirements into technical architecture and guiding delivery end-to-end.
ABOUT APPLY
APPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands. We bring together deep domain expertise across Retail, CPG, Sports, and Media with AI-native delivery capability, designing and delivering agentic solutions that turn CX vision into commercial reality. We are the partner of choice for brands like Arc'teryx, NFL, Lululemon, and Kraft Heinz. For more information, visit applydigital.com.
THE ROLE
As a Freelance Solutions Architect (MarTech), youâll play a critical role in helping Apply clients design and deliver scalable marketing technology solutions that unlock better customer experiences and measurable growth. Reporting into the Marketing Services team, you will lead the technical architecture for CRM, CDP, and marketing automation implementations, translating business goals into clear technical plans and requirements. You will help clients modernize their MarTech stack, improve data quality and activation, and enable teams to run more personalized, omnichannel customer journeys.\nSolution Architecture & Discovery
Lead discovery workshops to understand client objectives, existing systems, data flows, and constraints.
Define target-state architecture for CRM, CDP, and marketing automation, including integration patterns, governance, and scalability considerations.
Translate business problems into technical solution options, with clear trade-offs, effort estimates, and risks.
Implementation Leadership & Delivery
Guide implementations end-to-end, from documentation and planning through detailed requirements and support for build.
Produce high-quality technical artifacts including architecture diagrams, data flow maps, event and identity models, and implementation roadmaps.
Write clear technical requirements for engineers, partnering with technical project management to scope, sequence, and deliver work.
Partner with client stakeholders to drive decisions and keep delivery aligned to outcomes, timelines, and dependencies.
MarTech Platforms, Integrations, and Data
Architect and support integrations across the MarTech stack, including CDPs, marketing automation platforms, analytics, attribution, and enrichment tools.
Design data schemas and event tracking plans that support lifecycle use cases and analytics needs.
Support ETL and reverse ETL patterns to activate data into downstream destinations.
Ensure solutions account for omnichannel transactional and marketing messaging, customer journeys, user states, and event-driven automation.
5+ years of software development experience.
5+ years of experience integrating third-party tools, including involvement in planning and developing ETL solutions.
2+ years of hands-on experience with a CDP such as Mixpanel, Segment, mParticle, Tealium, Treasure Data, or similar.
2+ years of experience working directly with clients or key stakeholders.
Demonstrated experience designing and architecting a CDP and/or marketing automation integration, and ability to walk through the full implementation lifecycle.
Experience working with APIs and at least one of the following: Mobile SDKs, HTML, CSS, JavaScript.
Experience with cloud platforms such as AWS (EC2, S3, Lambda, Redshift), GCP, Heroku, or iPaaS tools.
Experience defining cross-platform technical requirements across the MarTech stack.
Platform experience implementing CDPs such as Segment, RudderStack, mParticle, Tealium, or similar.
Experience configuring lifecycle journeys and campaigns in tools like Braze, Iterable, Klaviyo, Customer.io, or similar.
Familiarity with analytics, enrichment, and attribution tools and approaches.
Understanding of marketing attribution, including auditing integrations and attribution data.
Proficiency with JSON and SQL, including data modeling best practices.
Experience with reverse ETL tools such as Hightouch or Census.
Experience with scripting languages and serverless patterns, including lambda functions.
Ability to clearly present technical concepts and recommendations to non-technical stakeholders.
Platform experience with Shopify or Magento.
LIFE AT APPLY
People are at the core of everything we do at APPLY. We provide you with modern tools, systems and approaches, value your time, safety, and health, and strive to build a work community where you can thrive and grow. Here are a few benefits we offer to support you:
Agentic Delivery: Our people work in a modern way to deliver client outcomes. Broaden your skills on a range of engagements with international brands that have a global impact.
An inclusive and safe environment: Weâre truly committed to building a culture where you are celebrated and everyone feels welcome and safe.
AI & Strategic Upskilling: Accelerate your professional growth with generous training budgets and mentorship, with a specific focus on Agentic AI expertise and the critical human skills required for the future of work.
APPLY is a safe, respectful, and inclusive community where differences are celebrated. We are committed to equal opportunity and fostering a workplace where everyone belongs. Learn more in our Diversity, Equity, and Inclusion (DEI) section. For recruitment accommodations, please email careers@applydigital.com.
Senior full-stack developer builds and maintains web applications using Symfony, Vue.js/Angular/Next.js for US and European startups.
Headquarters: New York, NY
URL: https://lemon.io
Are you a talented Senior Developer looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe.
What we offer:
Requirements:
OR
OR
3+ years of experience with Symfony, 2+ years with Next.js, and 3+ years with JavaScript and TypeScript
Strong technical skills: as a Senior Developer, you are expected to be able to create projects from scratch and have a deep understanding of application architecture.
Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls.
Strong self-organizational skills — ability to work full-time remotely with no supervision.
Reliability — we want to trust you and expect that you won’t let us and the client down.
Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly.
Sounds good for you? Apply now and join the Lemon.io community!
NOT YOUR TECH STACK?
We have different projects for Senior Full-Stack Developers, so if you have 4+ years of commercial experience in software development and you are fluent with AI Agent Architecture, React & Ruby, PHP & Angular, PHP & Vue, Vue & Node.js, React & .NET, Android & iOS, Angular & .NET, Angular & Node.js, Vue & .NET, Python & Vue, DevOps with Azure DevOps, MLOps, React & Java, Data Science, Blockchain (Web3/Solidity/Solana), Symfony & React, Data Analysis, React & PHP, Data Engineering, AI Engineering, Data Annotation, React & Node, React & Golang, React & Python, Svelte & Python, Svelte & Node, Svelte & TypeScript, Rust, Shopify & JavaScript, Vue & Nuxt, PHP & Laravel, .NET & C#, Unreal Engine & C++, Python & LLM, Unity, Machine Learning Engineering, we would be happy to communicate and provide you with a project that matches your experience. Just apply, and we will share more details with you.
We do not provide visa assistance, and our cooperation model does not include the benefits typically offered with direct hire.
P.S. We work with developers from 71+ countries in different regions: Europe, LATAM, the U.S (if you are an owner of W-9 ben form), Canada, Asia (Japan, Singapore, South Korea, Philippines, Indonesia), Oceania (Australia, New Zealand, Papua New Guinea), and the the UK. However, we have some exceptions.
At the moment, we don’t have a legal basis to accept applicants from the following countries:
We expand and shorten the list of exemptions regularly.
We do not provide visa assistance, and our cooperation model does not include the benefits typically offered with direct hire.
To apply: https://weworkremotely.com/remote-jobs/lemon-io-senior-full-stack-symfony-developer
Provides remote technical support and oversight for roadside monitoring and enforcement implementations as part of the Verra Command Center team.
Senior full-stack engineer builds and ships features across Ruby on Rails backend and React frontend for a creator economy platform's new community feature.
Headquarters: Remote
URL: http://gowalter.co
Our client is a full-service digital product agency. They build businesses at the intersection of content and commerce, and since 2020, we've been focused on the creator economy and online education space.
We're a distributed team based in Canada. For this project specifically, a good part of the client team is based in Europe, so we're looking for candidates in EST or compatible timezones (anywhere from Eastern North America through Western/Central Europe) with strong overlap to a EST/CET working day.
This is a temporary contract role. Anticipated start date is as soon as possible.
About the project
You'll be joining a major build for one of our clients, a leading platform in the creator economy. They're rolling out a native Community feature that gives their users' most engaged audiences a place to gather, talk, and come back between sends, unlocking a premium upsell and stronger retention for the platform.
The project is mid-development by the time you start, with a beta window and a release event planned for later this year. You'll be embedded into a small, focused team and shipping production code from day one.
About the role
We're looking for a senior full-stack engineer comfortable working primarily in Ruby on Rails and React, who can drop into an existing codebase, ramp up quickly, and start delivering meaningful tickets within the first few weeks. You'll work alongside our existing engineering leads on this engagement, share planning and working sessions with the broader client team, and contribute directly to features being shipped to end users.
The stack is Ruby on Rails with Postgres and Redis Docker for local dev), a React frontend, with real-time and feed infrastructure powered by Stream.io. We use GitHub for code management and Linear for ticketing.
This role is hands-on. There's no Rare Days PM on this engagement (the client owns PM, so we're looking for someone who is self-directed, communicates clearly, and can operate effectively inside a client's processes and rituals.
Responsibilities
- Build and ship full-stack features across the Rails service layer and the React frontend on the client's community platform
- Pick up tickets from the Linear board, scope your own work, and deliver production-quality code with strong test coverage
- Participate in the client's sprint rituals, demos, and touchpoints, speaking confidently about technical decisions, trade-offs, and delivery status
- Collaborate closely with the existing engineers on the project (your primary pair during ramp-up) and with the client's internal engineers and PM
- Help drive the team toward upcoming beta and release milestones, flagging risks early and proposing solutions, not just problems
- Contribute to architecture and integration discussions where relevant (e.g. real-time infrastructure, feed/messaging via Stream, performance and scaling questions)
- Write code reviews that raise the bar without slowing the team down
What we're looking for
- 7+ years of full-stack engineering experience, with substantial production work in Ruby on Rails and React
- Comfortable in a Rails monolith of meaningful size. You can navigate an unfamiliar codebase, find the patterns, and make changes that match the existing conventions rather than fighting them
- Strong with Postgres (writing efficient queries, understanding indexing, reasoning about migrations on a live database) and familiar with Redis in a caching or background-job context
- Experience working with React in a production app (component patterns, state management, integrating with a Rails backend)
- You've worked on apps where real-time features, multi-tenancy, or scale are real concerns, and you have opinions about the trade-offs (familiarity with ActionCable/AnyCable, Stream.io, Pusher, or similar is a plus)
- You can communicate effectively with both technical and non-technical audiences, and you're comfortable presenting your work directly to a client team
- You're self-directed: you can pick up a ticket, ask the right clarifying questions, and ship it without needing constant check-ins
- You're motivated by feedback and care about the craft. You'd rather raise a concern early than ship something you're not proud of
- Available to work in an EST or compatible timezone Eastern North America through Western/Central Europe), with strong overlap to a EST/CET working day for sprint rituals, pairing, and client touchpoints
- Comfortable working as a contractor
Nice to have
- Prior experience on creator-economy, publishing, or community products
- Background working as an embedded contractor inside a client's engineering team
- Familiarity with deploying Rails applications at scale Heroku, AWS, or similar)
- Experience integrating with third-party real-time / feed / chat services
Engagement details
Type: Temporary contract, full-time allocation
Location: Remote, EST or compatible timezone Eastern North America through Western/Central Europe)
To apply: https://weworkremotely.com/remote-jobs/walter-senior-fullstack-engineer-ruby-react
Leads execution of education policy implementation initiatives, managing workstreams and supporting program launch across federal and state partnerships.
At yes. every kid. our purpose is to transform education to be as diverse as the kids it’s designed to serve. Instead of allowing politicians and special interests to rule education, we can unleash the extraordinary potential of every kid by treating them with dignity and empowering them to make decisions that are best for them. Join us as we give a voice to every parent, student, and teacher who shares that goal.
yes. every kid. is part of the Stand Together philanthropic community.
The Sr. Manager, Implementation plays a key role in leading yes. every kid. foundation’s (YesF) work to support successful implementation by translating education freedom policy into executable, scalable programs.
The Sr. Manager will lead day-to-day execution of YesF’s federal and state-based implementation priorities and related initiatives, working directly with organization leaders, administrators, partners and internal teams to translate policy into action.
This hands-on role will be focused on delivering high-quality implementation support from start-up strategy to operational execution. The Sr. Manager will help translate policy into practice by developing tools, solving operational challenges and supporting programs that are simple, accessible and effective for families.
This role may be performed remotely with frequent travel.
Lead key workstreams across YesF’s federal and state implementation portfolio, with primary responsibility for federal scholarship initiatives
Design and deliver implementation supports including cohort-based learning, startup advisory support and scalable tools to accelerate launch and growth of programs.
Work directly with organization leaders to support launch readiness, operational planning and early-stage implementation
Develop and deliver practical implementation tools, including startup playbooks, compliance guidance, donor engagement strategies and resources
Translate federal policy and emerging guidance into clear, actionable steps for SGOs and partners.
Support YesF’s engagement with federal agencies by helping translate implementation insights into feedback and recommendations that promote a clear, workable regulatory environment for SGOs
Manage timelines and deliverables across multiple implementation engagements
Support coordination with national partners and stakeholders to share learning and strengthen implementation approaches
Draft high-quality memos, briefings and external deliverables to support strategy and communication
A self-starter with an entrepreneurial mindset who takes initiative, identifies opportunities and moves work forward
You are comfortable owning workstreams, managing details and delivering high-quality outputs in fast-moving environments
A builder who thrives in creating structure, solving problems and helping stand up new programs
5-8 years of experience in policy implementation, program management, nonprofit operations or a related field
Strong understanding of program operations and execution, ideally with exposure to education programs, tax credits, and/or non-profit environments
Excellent written communicator, able to translate complex ideas into clear, practical guidance
Capable of managing multiple priorities and meeting deadlines and skilled at managing both strategy and execution, with strong attention to detail
Comfortable working directly with external partners while staying aligned internally
Motivated by expanding education opportunity and ensuring programs work well for families
The willingness and ability to travel up to 35% of the time.
Exposure to fundraising and donor strategy
Experience working across multiple states or in a national policy environment
Experience building operational playbooks, accelerators, or cohort-based programs
Our Values: Working for an organization within the Stand Together philanthropic community is different from many other places. The culture is deeply rooted in Principle Based Management® (PBM®), a framework guided by the principles that drive human progress, such as dignity, openness, and bottom-up empowerment. PBM® empowers employees to be entrepreneurial, to innovate, and to continually drive transformation.
We believe diversity fuels creativity, broadens knowledge, and helps drive success. That is why we’re proud to be an Equal Opportunity Employer and strive to treat all employees and applicants with honesty, dignity, and respect.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Design and build scalable machine learning systems that process and analyze large volumes of multimedia content across multiple modalities for a fintech platform.
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.
We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.
This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.
Responsibilities
Backend Architecture & System Ownership
Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.
Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.
Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.
Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.
Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.
Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.
Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.
AI/ML Integration & Model Workflows
Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.
Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.
Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.
Model Serving & Performance Optimization
Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.
Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.
Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.
Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.
Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.
Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval
Infrastructure, Reliability & Observability
Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.
Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.
Collaboration & Engineering Leadership
Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.
Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.
Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.
Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.
Education & Experience
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.
Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.
3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.
Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.
Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.
Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.
Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.
Technical Skills
Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures
Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.
Strong experience with SQL/NoSQL databases, schema design, and data modeling
Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems
Experience deploying production systems on AWS, GCP, or similar cloud platforms
Knowledge of infrastructure patterns (compute, storage, networking, observability)
AI/ML Integration
Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.
Experience optimizing inference workflows for latency, throughput, reliability, and cost.
Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.
Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.
Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.
Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.
System Design & Architecture
Preferred understanding of distributed systems, scaling patterns, and performance engineering
Ability to design modular, maintainable, and efficient architectures
Experience with API versioning, modularization, and designing long-running workflows
Understanding of performance bottlenecks and low-latency backend patterns
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Senior Talent Acquisition Partner owns the full recruitment lifecycle for Go-to-Market teams, sourcing passive candidates, managing hiring processes, and partnering with executives on talent strategy.
Who are we?
At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn’t just growth; it’s a total reimagining of how the world manages cyber risk.
We build the Cyber Risk Posture Management (CRPM) platform that security teams actually love. By integrating security ratings, threat intel, and agentic AI, we empower organisations to stay ahead of an ever evolving attack surface.
We aren’t just building another tool; we’re defining a category. We provide the autonomy to ship world-class technology and the resources to do it at a global scale.
Our People team consists of Talent Acquisition and Team Member Experience. At UpGuard, we all deserve to work in an environment where we are treated with dignity and respect. Our People team is committed to creating such an environment, where everyone has the opportunity to be themselves and reach their fullest potential. Our Talent Acquisition team is committed to finding individuals who embody our values and are passionate about the work they do to help UpGuard continue to grow.
Where does this role fit in?
As a Senior Talent Partner, you will be responsible for recruiting for our Go-to-Market (GTM) teams across the US & EMEA. You’ll partner directly with leaders across teams, including Sales, Customer Success, and Marketing, to understand their hiring needs, build effective sourcing strategies, and hire top-tier talent that will shape the future of our company. This is a hands-on role where you’ll manage the full recruitment lifecycle, from sourcing and screening to offer and onboarding.
$130,000 - $145,000 a year
#LI-BW1
UpGuard is a Certified Great Place to Work® in the US, Australia, UK and India, establishing its position as a leading global technology employer. 99% of team members agree that UpGuard is a great place to work, apply now to find out why!
As an Equal Employment Opportunity and Affirmative Action Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
For applications to positions in the United States, please note, at this time we can only support hiring in the following US states: CA, MD, MA, IL, OR, WA, CO, TX, FL, PA, LA, MO, or DC.
Before starting work with us, you will need to undertake a national police history check and reference checks. Also please note that at this time, we cannot support candidates requiring visa sponsorship or relocation.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Design and build scalable ML systems that process and analyze large volumes of multimedia content across multiple modalities for a fintech platform.
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.
We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.
This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.
Responsibilities
Backend Architecture & System Ownership
Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.
Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.
Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.
Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.
Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.
Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.
Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.
AI/ML Integration & Model Workflows
Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.
Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.
Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.
Model Serving & Performance Optimization
Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.
Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.
Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.
Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.
Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.
Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval
Infrastructure, Reliability & Observability
Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.
Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.
Collaboration & Engineering Leadership
Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.
Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.
Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.
Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.
Education & Experience
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.
Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.
3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.
Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.
Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.
Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.
Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.
Technical Skills
Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures
Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.
Strong experience with SQL/NoSQL databases, schema design, and data modeling
Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems
Experience deploying production systems on AWS, GCP, or similar cloud platforms
Knowledge of infrastructure patterns (compute, storage, networking, observability)
AI/ML Integration
Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.
Experience optimizing inference workflows for latency, throughput, reliability, and cost.
Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.
Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.
Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.
Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.
System Design & Architecture
Preferred understanding of distributed systems, scaling patterns, and performance engineering
Ability to design modular, maintainable, and efficient architectures
Experience with API versioning, modularization, and designing long-running workflows
Understanding of performance bottlenecks and low-latency backend patterns
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Architect and build machine learning systems for a scalable media intelligence platform processing multimedia content at Tether.
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.
We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.
This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.
Responsibilities
Backend Architecture & System Ownership
Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.
Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.
Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.
Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.
Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.
Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.
Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.
AI/ML Integration & Model Workflows
Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.
Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.
Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.
Model Serving & Performance Optimization
Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.
Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.
Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.
Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.
Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.
Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval
Infrastructure, Reliability & Observability
Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.
Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.
Collaboration & Engineering Leadership
Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.
Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.
Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.
Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.
Education & Experience
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.
Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.
3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.
Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.
Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.
Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.
Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.
Technical Skills
Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures
Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.
Strong experience with SQL/NoSQL databases, schema design, and data modeling
Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems
Experience deploying production systems on AWS, GCP, or similar cloud platforms
Knowledge of infrastructure patterns (compute, storage, networking, observability)
AI/ML Integration
Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.
Experience optimizing inference workflows for latency, throughput, reliability, and cost.
Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.
Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.
Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.
Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.
System Design & Architecture
Preferred understanding of distributed systems, scaling patterns, and performance engineering
Ability to design modular, maintainable, and efficient architectures
Experience with API versioning, modularization, and designing long-running workflows
Understanding of performance bottlenecks and low-latency backend patterns
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
