Location: Thailand - Remote
About Smartcat
Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises.
We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one.
Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale.
Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us.
Join us in unlocking global potential, one human and agent team at a time.
WHY YOU SHOULD JOIN OUR TEAM
You’ll join a newly formed Technical Account Management team built to make sure every Smartcat customer, at every tier, can reach a human technical expert 24/7. AI already resolves a growing share of customer issues, so you’ll own the escalations beyond what AI can handle: technical troubleshooting, integrations, and workflow questions, solved in an AI-forward way. You’ll be assigned a portfolio of accounts, and on our largest accounts you’ll be the named technical resource and work directly with the account executive.
MISSION
Be the trusted technical expert behind Smartcat’s customers: meet their needs with passion and approachability, resolve complex escalations with AI-first problem solving, keep integrations and workflows healthy, and give customers around the world fast, expert technical support at any hour.
OUTCOMES
Act as the technical point of contact for an assigned portfolio of accounts within your tier (Strategic, Enterprise, or Corporate), partnering with the account team on each
Take ownership of customer escalations that go beyond what Smartcat’s AI capabilities can resolve, using technical troubleshooting and AI tools to reach resolution quickly
Resolve customer inquiries and requests in modern ticketing systems such as Zendesk and YouTrack, maintaining a consistently high customer satisfaction rate
Provide 24/7 coverage as part of a globally distributed team, so every customer can reach a human regardless of tier
Own technical onboarding and implementation: API and connector integrations (CMS, TMS, DAM, dev tools), SSO/SAML setup, workspace architecture, and workflow configuration
Escalate feature requests, bugs, and issues that need engineering to Support, Product, and Engineering with clear reproduction steps, and own root-cause communication through resolution
Advise customers on best-practice use of Smartcat’s platform (CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows) to maximize adoption and ROI
Monitor technical health signals (integration failures, API error rates, usage drop-offs) and flag risk to the account team before it becomes churn
Collaborate with engineers, analysts, testers, success managers, and product managers, and relay customer technical feedback to influence the roadmap
Develop and maintain help center content, internal documentation, runbooks, and reusable integration patterns, using AI to keep them current
Support renewal and expansion conversations with technical proof points: performance data, integration health, and use-case expansion opportunities
How the tiers differ:
On Strategic accounts (our largest named customers), you’ll be the go-to technical resource and work directly with the assigned account executive. On Enterprise and Corporate accounts, you’ll cover a larger number of accounts, with less day-to-day customer-facing time and more emphasis on efficient, AI-powered issue resolution.
HOW YOU’LL RAMP
By Day 30:
Learn Smartcat’s platform end to end: CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows, and the integration and API landscape
Learn how AI handles first-line customer issues today, where human escalation takes over, and how tickets flow through Zendesk and YouTrack
Meet your account team, Support, Product, and Engineering counterparts, and get oriented on your assigned accounts: architecture, integrations, open issues, and health signals
By Day 60:
Resolve customer escalations independently, using AI tools to diagnose and solve, and escalating to Engineering with clear reproduction steps when needed
Lead technical onboarding or integration work for at least one account
Monitor health signals across your accounts and flag at least one emerging risk to the account team
By Day 90:
Carry your full account portfolio, including your share of 24/7 coverage
Run a technical workshop with a customer’s team and summarize it cleanly for their business stakeholders
Contribute help center content, a runbook, or a reusable integration pattern to the team’s library, and relay customer feedback that informs Product and Engineering
WHAT YOU’VE ACCOMPLISHED
Background in the localization or translation industry, for example as a localization engineer at a translation agency or language service provider, with a strong understanding of languages and international customers
An AI-first approach to problem solving: you already use AI tools to troubleshoot, diagnose, and work faster
Exceptional troubleshooting and problem-solving skills, with a track record of owning issues through resolution
A genuine love of helping and teaching people, and excellent written communication skills in English
Working knowledge of REST APIs and webhooks, and comfort reading logs and debugging integration failures; scripting experience (Python or JavaScript) is a plus
Experience with ticketing systems such as Zendesk and YouTrack
The ability to explain technical root cause to both engineers and non-technical stakeholders, and to run a technical workshop with a customer’s team and then summarize it cleanly for their VP
Comfort owning multiple accounts at once and prioritizing under pressure, including during crisis de-escalation
Experience working on remote, globally distributed teams
Openness to feedback and to others’ opinions and ideas, and eagerness to grow
Bonus: technical support or quality assurance experience, and experience with CMS/TMS integrations or content supply chain tooling
Why joining Smartcat might be your best move so far
A global, connected team
We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact.
Be part of an AI Native Organization
We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation.
Innovating a $100 Billion industry
Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost.
Join the rocketship to scale-up 10x and beyond together
We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here.
Smartcat Culture Code
: Where Diversity Meets High Performance
At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.
Location: Serbia - Remote; Spain - Remote
About Smartcat
Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises.
We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one.
Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale.
Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us.
Join us in unlocking global potential, one human and agent team at a time.
WHY YOU SHOULD JOIN OUR TEAM
You’ll join a newly formed Technical Account Management team built to make sure every Smartcat customer, at every tier, can reach a human technical expert 24/7. AI already resolves a growing share of customer issues, so you’ll own the escalations beyond what AI can handle: technical troubleshooting, integrations, and workflow questions, solved in an AI-forward way. You’ll be assigned a portfolio of accounts, and on our largest accounts you’ll be the named technical resource and work directly with the account executive.
MISSION
Be the trusted technical expert behind Smartcat’s customers: meet their needs with passion and approachability, resolve complex escalations with AI-first problem solving, keep integrations and workflows healthy, and give customers around the world fast, expert technical support at any hour.
OUTCOMES
Act as the technical point of contact for an assigned portfolio of accounts within your tier (Strategic, Enterprise, or Corporate), partnering with the account team on each
Take ownership of customer escalations that go beyond what Smartcat’s AI capabilities can resolve, using technical troubleshooting and AI tools to reach resolution quickly
Resolve customer inquiries and requests in modern ticketing systems such as Zendesk and YouTrack, maintaining a consistently high customer satisfaction rate
Provide 24/7 coverage as part of a globally distributed team, so every customer can reach a human regardless of tier
Own technical onboarding and implementation: API and connector integrations (CMS, TMS, DAM, dev tools), SSO/SAML setup, workspace architecture, and workflow configuration
Escalate feature requests, bugs, and issues that need engineering to Support, Product, and Engineering with clear reproduction steps, and own root-cause communication through resolution
Advise customers on best-practice use of Smartcat’s platform (CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows) to maximize adoption and ROI
Monitor technical health signals (integration failures, API error rates, usage drop-offs) and flag risk to the account team before it becomes churn
Collaborate with engineers, analysts, testers, success managers, and product managers, and relay customer technical feedback to influence the roadmap
Develop and maintain help center content, internal documentation, runbooks, and reusable integration patterns, using AI to keep them current
Support renewal and expansion conversations with technical proof points: performance data, integration health, and use-case expansion opportunities
How the tiers differ:
On Strategic accounts (our largest named customers), you’ll be the go-to technical resource and work directly with the assigned account executive. On Enterprise and Corporate accounts, you’ll cover a larger number of accounts, with less day-to-day customer-facing time and more emphasis on efficient, AI-powered issue resolution.
HOW YOU’LL RAMP
By Day 30:
Learn Smartcat’s platform end to end: CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows, and the integration and API landscape
Learn how AI handles first-line customer issues today, where human escalation takes over, and how tickets flow through Zendesk and YouTrack
Meet your account team, Support, Product, and Engineering counterparts, and get oriented on your assigned accounts: architecture, integrations, open issues, and health signals
By Day 60:
Resolve customer escalations independently, using AI tools to diagnose and solve, and escalating to Engineering with clear reproduction steps when needed
Lead technical onboarding or integration work for at least one account
Monitor health signals across your accounts and flag at least one emerging risk to the account team
By Day 90:
Carry your full account portfolio, including your share of 24/7 coverage
Run a technical workshop with a customer’s team and summarize it cleanly for their business stakeholders
Contribute help center content, a runbook, or a reusable integration pattern to the team’s library, and relay customer feedback that informs Product and Engineering
WHAT YOU’VE ACCOMPLISHED
Background in the localization or translation industry, for example as a localization engineer at a translation agency or language service provider, with a strong understanding of languages and international customers
An AI-first approach to problem solving: you already use AI tools to troubleshoot, diagnose, and work faster
Exceptional troubleshooting and problem-solving skills, with a track record of owning issues through resolution
A genuine love of helping and teaching people, and excellent written communication skills in English
Working knowledge of REST APIs and webhooks, and comfort reading logs and debugging integration failures; scripting experience (Python or JavaScript) is a plus
Experience with ticketing systems such as Zendesk and YouTrack
The ability to explain technical root cause to both engineers and non-technical stakeholders, and to run a technical workshop with a customer’s team and then summarize it cleanly for their VP
Comfort owning multiple accounts at once and prioritizing under pressure, including during crisis de-escalation
Experience working on remote, globally distributed teams
Openness to feedback and to others’ opinions and ideas, and eagerness to grow
Bonus: technical support or quality assurance experience, and experience with CMS/TMS integrations or content supply chain tooling
Why joining Smartcat might be your best move so far
A global, connected team
We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact.
Be part of an AI Native Organization
We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation.
Innovating a $100 Billion industry
Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost.
Join the rocketship to scale-up 10x and beyond together
We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here.
Smartcat Culture Code
: Where Diversity Meets High Performance
At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.
Location: Costa Rica - Remote
About Smartcat
Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises.
We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one.
Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale.
Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us.
Join us in unlocking global potential, one human and agent team at a time.
WHY YOU SHOULD JOIN OUR TEAM
You’ll join a newly formed Technical Account Management team built to make sure every Smartcat customer, at every tier, can reach a human technical expert 24/7. AI already resolves a growing share of customer issues, so you’ll own the escalations beyond what AI can handle: technical troubleshooting, integrations, and workflow questions, solved in an AI-forward way. You’ll be assigned a portfolio of accounts, and on our largest accounts you’ll be the named technical resource and work directly with the account executive.
MISSION
Be the trusted technical expert behind Smartcat’s customers: meet their needs with passion and approachability, resolve complex escalations with AI-first problem solving, keep integrations and workflows healthy, and give customers around the world fast, expert technical support at any hour.
OUTCOMES
Act as the technical point of contact for an assigned portfolio of accounts within your tier (Strategic, Enterprise, or Corporate), partnering with the account team on each
Take ownership of customer escalations that go beyond what Smartcat’s AI capabilities can resolve, using technical troubleshooting and AI tools to reach resolution quickly
Resolve customer inquiries and requests in modern ticketing systems such as Zendesk and YouTrack, maintaining a consistently high customer satisfaction rate
Provide 24/7 coverage as part of a globally distributed team, so every customer can reach a human regardless of tier
Own technical onboarding and implementation: API and connector integrations (CMS, TMS, DAM, dev tools), SSO/SAML setup, workspace architecture, and workflow configuration
Escalate feature requests, bugs, and issues that need engineering to Support, Product, and Engineering with clear reproduction steps, and own root-cause communication through resolution
Advise customers on best-practice use of Smartcat’s platform (CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows) to maximize adoption and ROI
Monitor technical health signals (integration failures, API error rates, usage drop-offs) and flag risk to the account team before it becomes churn
Collaborate with engineers, analysts, testers, success managers, and product managers, and relay customer technical feedback to influence the roadmap
Develop and maintain help center content, internal documentation, runbooks, and reusable integration patterns, using AI to keep them current
Support renewal and expansion conversations with technical proof points: performance data, integration health, and use-case expansion opportunities
How the tiers differ:
On Strategic accounts (our largest named customers), you’ll be the go-to technical resource and work directly with the assigned account executive. On Enterprise and Corporate accounts, you’ll cover a larger number of accounts, with less day-to-day customer-facing time and more emphasis on efficient, AI-powered issue resolution.
HOW YOU’LL RAMP
By Day 30:
Learn Smartcat’s platform end to end: CAT tools, AI Coworkers, Marketplace, PDF pipeline, custom workflows, and the integration and API landscape
Learn how AI handles first-line customer issues today, where human escalation takes over, and how tickets flow through Zendesk and YouTrack
Meet your account team, Support, Product, and Engineering counterparts, and get oriented on your assigned accounts: architecture, integrations, open issues, and health signals
By Day 60:
Resolve customer escalations independently, using AI tools to diagnose and solve, and escalating to Engineering with clear reproduction steps when needed
Lead technical onboarding or integration work for at least one account
Monitor health signals across your accounts and flag at least one emerging risk to the account team
By Day 90:
Carry your full account portfolio, including your share of 24/7 coverage
Run a technical workshop with a customer’s team and summarize it cleanly for their business stakeholders
Contribute help center content, a runbook, or a reusable integration pattern to the team’s library, and relay customer feedback that informs Product and Engineering
WHAT YOU’VE ACCOMPLISHED
Background in the localization or translation industry, for example as a localization engineer at a translation agency or language service provider, with a strong understanding of languages and international customers
An AI-first approach to problem solving: you already use AI tools to troubleshoot, diagnose, and work faster
Exceptional troubleshooting and problem-solving skills, with a track record of owning issues through resolution
A genuine love of helping and teaching people, and excellent written communication skills in English
Working knowledge of REST APIs and webhooks, and comfort reading logs and debugging integration failures; scripting experience (Python or JavaScript) is a plus
Experience with ticketing systems such as Zendesk and YouTrack
The ability to explain technical root cause to both engineers and non-technical stakeholders, and to run a technical workshop with a customer’s team and then summarize it cleanly for their VP
Comfort owning multiple accounts at once and prioritizing under pressure, including during crisis de-escalation
Experience working on remote, globally distributed teams
Openness to feedback and to others’ opinions and ideas, and eagerness to grow
Bonus: technical support or quality assurance experience, and experience with CMS/TMS integrations or content supply chain tooling
Why joining Smartcat might be your best move so far
A global, connected team
We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact.
Be part of an AI Native Organization
We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation.
Innovating a $100 Billion industry
Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost.
Join the rocketship to scale-up 10x and beyond together
We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here.
Smartcat Culture Code
: Where Diversity Meets High Performance
At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.
Location: Georgia; Belarus; Serbia; Armenia; Kyrgyzstan; Uzbekistan; Azerbaijan; Czech Republic; Montenegro; Poland; Portugal; Romania; Spain; UAE; Slovakia
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
We are looking for a Mobile QA Engineer for our iOS team.
We are currently undertaking a major redesign of our flagship trading platform, used by millions of users worldwide, with three key goals: delivering an adaptive UI across different screen sizes and device families, expanding automated regression coverage, and transitioning to native Swift-based test automation.
We follow an AI-first approach, actively integrating AI tools into our daily engineering workflows, including test design, automation development, code reviews, and debugging.
We work in 2-week Scrum sprints, with daily meetings at 11:00 EET/EEST.
Your role will involve owning the testing process end to end, from reviewing requirements and identifying potential risks to designing test cases, executing manual tests, and automating them where appropriate.
Our ideal candidate has a strong product mindset, takes ownership of features, proactively identifies issues and opportunities for improvement, collaborates with different teams, and drives features through testing to a successful release.
Tasks
Manual Testing:
Perform functional, regression, smoke, end-to-end and integration testing of new and existing iOS functionality. Review specifications, identify risks and edge cases, prepare test cases and checklists, and validate the redesigned UI across different screen sizes, device families, and iOS versions.
Test Automation:
Develop and maintain automated tests to expand regression coverage across product domains. Contribute automated tests for new functionality, including end-to-end tests, and add coverage for features that are not yet covered by developer-written tests.
Automation Migration:
Help migrate the existing test automation framework to Swift-based automation, improving maintainability, reliability, and regression coverage.
API Testing and Debugging:
Test REST APIs and JSON responses, validate integrations and real-time data flows, analyze network traffic using Charles Proxy or Proxyman, and investigate issues using device logs and debugging tools.
Cross-Platform Testing:
Collaborate with the Android team to verify cross-platform functionality and identify inconsistencies between iOS and Android implementations.
CI/CD:
Integrate and maintain automated tests in CI/CD pipelines, helping ensure reliable execution and timely feedback on product changes.
AI-Assisted Workflows:
Use AI tools in day-to-day QA activities, including test design, test automation, code reviews, and debugging.
Requirements
Mobile Testing Experience:
3+ years of experience testing native mobile applications, with a focus on iOS. Understanding of platform-specific features, guidelines, and limitations (Apple Human Interface Guidelines, Material Design).
Test Automation:
Hands-on experience building and maintaining mobile automated tests using Appium, XCUITest, and/or Espresso. Ability to design a scalable test automation framework from scratch using patterns such as Page Object or Screenplay.
Programming Skills:
Proficiency in at least one programming language used for test automation: Kotlin, Java, Swift, Python, or TypeScript. Ability to write clean, readable, and maintainable test code.
Testing Theory and Test Design:
Solid understanding of functional, regression, smoke, integration, and end-to-end testing. Experience with test design techniques, including equivalence partitioning, boundary value analysis, decision tables, and pairwise testing. Ability to write clear test cases, checklists, and bug reports.
API Testing:
Experience testing REST APIs and working with JSON. Familiarity with Postman, Swagger, API automation tools such as REST Assured, Retrofit, or requests, etc.). Basic understanding of WebSockets and real-time data testing.
Debugging and Traffic Analysis:
Experience using Charles Proxy, Proxyman, or Fiddler for traffic interception and mocking. Ability to inspect logs using Xcode Console, Android Studio Logcat, and adb.
CI/CD and Test Infrastructure:
Experience integrating automated tests into CI/CD pipelines using tools such as GitLab CI, GitHub Actions, Jenkins, or Bitrise.
AI Tools:
Willingness to use AI-assisted tools in everyday engineering workflows, including test design, test automation development, and debugging.
Languages:
English at B1 level or above and Russian at C2 level.
Nice to have
Experience writing mobile automated tests in Swift using XCUITest.
Experience migrating legacy automation frameworks or transitioning between programming languages and testing technologies.
Experience testing financial applications, trading platforms, or other products where data accuracy and reliability are critical.
We offer
Full-time remote work (service provider contract).
Competitive compensation (EUR).
Flexible working hours.
Corporate AI subscriptions (Claude, Gemini, GPT, etc.).
Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency.
A strong team of engineers.
Positive and friendly atmosphere.
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-JM1
Location: Berlin (Germany)
Product Marketing Lead - Join Our Innovative Team at thinkcell Software
Our Story
At thinkcell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence.
What You Will Do
We’re
looking for a Product Marketing
Lead
to shape how we communicate
thinkcell’s
value to customers, prospects, and partners.
As a lead of this function, you will own
product positioning and messaging, lead go-to-market
launches, an
d
equip sales and partner teams with resources that strengthen commercial conversations. Working closely with Product Management, Solution Consulting, Sales, and Marketing,
you’l
l
turn product capabilities and customer insights into compelling narratives that support acquisition, adoption, retention, and expansion.
Key Responsibilities:
Own product positioning and messaging:
translate product feature briefs into clear benefits, differentiated value propositions, and narratives tailored to user segments and buying personas. Maintain a shared messaging framework that teams can apply consistently
Lead go-to-market launches from a marketing standpoint
: working with other functions, define target audiences, messaging, objectives, timelines, and launch plans. Ensure communications are appropriately planned and sized to the weight of the launch, aligned, accurate, and ready on time
Build scalable sales and partner enablement:
equip sales teams, resellers, and partners with demo recordings, onboarding resources, customer success stories, presentations, and other reusable materials. Work with Solution Consultants to turn expertise from individual customer engagements into resources that support broader audiences
Enable GTM teams (both SLG and PLG):
keep materials current, accessible, and useful, with a clear process for requesting new resources and providing feedback
Ensure product messaging quality across channels:
work with marketing owners to ensure website copy, ads, emails, newsletters, influencer content, and event materials represent the product accurately and communicate its value persuasively
Gather and apply customer and market insights:
benchmark competitors’ positioning, messaging, and marketing campaigns. Run customer surveys and interviews, exchange insights with Product Management, and turn findings into stronger messaging, launch plans, and engagement programmes
Set priorities and measure impact:
define success measures for launches, enablement, and customer engagement with relevant stakeholders. Use performance data, customer feedback, and seller input to improve programmes continuously
You will be great for this position if you have
7+ years of experience in B2B product marketing, ideally within software or SaaS, with demonstrated ownership of positioning, messaging, and product launches
A strong ability to understand product capabilities and translate them into clear, persuasive benefits for different audiences
Experience planning and delivering launches across multiple marketing channels, coordinating stakeholders, and adapting the approach to the significance of each release
Experience using customer research, product usage insights, and campaign results to improve adoption, retention, or expansion communications
A track record of creating sales and partner enablement materials that are widely used and improve commercial conversations
A proactive, problem-solving approach with strong project management and communication skills
Strong analytical skills, hands on experience with campaign analysis and reporting, knowledge of Matomo and PowerBI
Experience working with thinkcell, Microsoft PowerPoint and Excel is a plus.
Experience working with finance and consulting services is a plus
W
illingness to work on-site in our Berlin office 4 days per week, with 1 remote day
Our Values
As part of our team, you will embody and help shape the following principles that define us:
Forward Thinking
: We embrace change and challenge the status quo.
Ownership
: We take pride in our work and learn from our mistakes.
Customer First
: We prioritize delivering lasting value.
Unified Team
: We foster collaboration, respect, and integrity.
Strive for Excellence
: We set ambitious goals and pursue quality.
We believe in a human hiring process, every application is personally reviewed.
Why is thinkcell the right place for you?
We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, London, Tokyo, and Dubai, we’re a diverse team of over 250 people, committed to innovation and excellence.
thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!
Location: European Union
What you'll be solving
A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks.
That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem
-
several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live.
This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Understanding of Kubernetes internals – autoscaling and networking.
You've personally driven a complex project end-to-end.
Experience with AI coding agents and agentic development workflows.
You've used observability tooling in production.
CI/CD and DevOps practices experience.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Nice-to-haves:
Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood.
Deep knowledge of EKS, GKE, or AKS internals.
Container runtime experience CRI-O, runc, containerd.
Cloud storage depth – block storage, CSI, volume management, filesystem internals.
Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage.
Low-level systems programming experience in C or C++.
Kubernetes or cloud-native OSS contributions.
Experience with AI coding agents and agentic development workflows.
Responsibilities:
Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Participate in on-call rotation for teams that require it.
Tools we use daily:
Programming Languages:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab/Github CI with ArgoCD and Kargo
What’s in it for you?
Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
We’re looking for a commercially driven Head of Product to shape product direction within an international fintech business operating at the intersection of mobility, payments and embedded finance.
Location: Cyprus; Finland; Ireland; Malta; Moldova; North Macedonia; Sweden
What you'll be solving
A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks.
That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem
-
several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live.
This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Understanding of Kubernetes internals – autoscaling and networking.
You've personally driven a complex project end-to-end.
Experience with AI coding agents and agentic development workflows.
You've used observability tooling in production.
CI/CD and DevOps practices experience.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Nice-to-haves:
Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood.
Deep knowledge of EKS, GKE, or AKS internals.
Container runtime experience CRI-O, runc, containerd.
Cloud storage depth – block storage, CSI, volume management, filesystem internals.
Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage.
Low-level systems programming experience in C or C++.
Kubernetes or cloud-native OSS contributions.
Experience with AI coding agents and agentic development workflows.
Responsibilities:
Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Participate in on-call rotation for teams that require it.
Tools we use daily:
Programming Languages:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab/Github CI with ArgoCD and Kargo
What’s in it for you?
Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Estonia; Finland; Greece; Latvia; Romania; Sweden
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
About the role
A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own.
The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products.
What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure).
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong debugging, optimization, and performance-tuning skills.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to have:
Kubernetes operators, Helm chart authoring, admission webhooks.
Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs.
Local development environment tooling (devcontainers, Tilt, Skaffold, or similar).
Kubernetes or cloud-native OSS contributions.
Responsibilities:
Design, build, and operate the CI/CD pipelines every engineering team ships through.
Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production.
Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop.
Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround.
Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure.
Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you.
Tools we use daily:
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, GCP, AWS, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
ClickHouse, Cloud Object Storage
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo
CI/CD & GitOps:
GitLab CI, ArgoCD, Kargo
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Cyprus; Ireland; Malta; Moldova; Montenegro; North Macedonia; Ukraine
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
About the role
A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own.
The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products.
What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure).
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong debugging, optimization, and performance-tuning skills.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to have:
Kubernetes operators, Helm chart authoring, admission webhooks.
Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs.
Local development environment tooling (devcontainers, Tilt, Skaffold, or similar).
Kubernetes or cloud-native OSS contributions.
Responsibilities:
Design, build, and operate the CI/CD pipelines every engineering team ships through.
Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production.
Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop.
Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround.
Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure.
Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you.
Tools we use daily:
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, GCP, AWS, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
ClickHouse, Cloud Object Storage
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo
CI/CD & GitOps:
GitLab CI, ArgoCD, Kargo
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Croatia; Cyprus; Estonia; Greece; Ireland; Malta; Romania
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.
What you'll be solving
Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship.
This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences.
Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar.
Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.
Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources.
Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster.
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to haves
Multi-tenant identity system design - authentication, authorization, SSO.
Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync.
Billing, audit-trail, notification, or feature-flag systems in production.
Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability.
High-cardinality time-series ingestion and querying at scale.
Understanding of Kubernetes internals.
CI/CD and DevOps practices experience.
Observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
Responsibilities
Design, build, and operate backend services in Go that other teams and customers depend on being correct.
Own features end-to-end: from design through implementation, testing, and production rollout.
Debug complex production issues involving security-, money-, or trust-critical flows.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Tools we use daily
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab CI with ArgoCD
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Moldova; Montenegro; Slovenia; Ukraine
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro and Ukraine.
What you'll be solving
Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship.
This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences.
Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar.
Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.
Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources.
Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster.
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to haves
Multi-tenant identity system design - authentication, authorization, SSO.
Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync.
Billing, audit-trail, notification, or feature-flag systems in production.
Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability.
High-cardinality time-series ingestion and querying at scale.
Understanding of Kubernetes internals.
CI/CD and DevOps practices experience.
Observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
Responsibilities
Design, build, and operate backend services in Go that other teams and customers depend on being correct.
Own features end-to-end: from design through implementation, testing, and production rollout.
Debug complex production issues involving security-, money-, or trust-critical flows.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Tools we use daily
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab CI with ArgoCD
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
The ideal candidate thrives in an entrepreneurial environment and consistently outperforms goals. Prior experience in building and scaling platform integrations is essential. Existing platform-specific industry knowledge and network are a valuable bonus.
What you’ll do
- Be the technical owner throughout the partner integration lifecycle, including technical discovery with partner, selection and SOW process for System Integrators for building new integrations, and technical project management.
- Be the interface between partnerships and product/engineering teams, both internally and externally.
- Provide subject matter expertise on platforms for merchants, assist merchant RFPs and technical questions wherever platforms are relevant, and be the escalation point for routing issues to partner technical contacts
- Provide input to partnership and product teams on technology trends, integration gaps, future features and platform product roadmaps.
- Technical evangelist for platform partners internally and externally.
- Build integrations into tech stacks, including APIs.
- Run debugging and UAT testing, as well as reviewing code.Act as the core technical owner throughout the partner integration lifecycle, encompassing technical discovery, selection of System Integrators, drafting Statements of Work (SOWs) for new integrations, and technical project management.
Qualifications
- 8+ Years experience in a Solutions Engineering, Partner Engineering, Implementation Engineering or similar role (payments industry a bonus).
- Knowledge / experience working with eCommerce platforms, subscription management platforms, and ERPs.
- Highly familiar with API-based integration methods.
- Development experience in frontend and backend web technologies, such as JavaScript, PHP, C# or others.
- DevOps experience from a technical and customer solutions point of view.
- Strong communicator who can both explain high-level takeaways and drill into technical details with clarity.
- Confident working closely with product and engineering teams.
- Highly organised and able to prioritise shifting workloads and responsibilities effectively.
- Able to thrive in a fast-paced environment.
- Fluent in English
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
United States - Remote; Must be located in the North Central region of the US
Brazil - Remote; Must be located in the São Paulo area
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.