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Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Start in minutes with a fully managed, scalable Postgres database and a suite of tools that eliminate the complexity of backend development. Use one or use all—Supabase gives teams the flexibility of open source with the speed and simplicity of a modern platform, so they can move fast without sacrificing control. WHAT ARE WE LOOKING FOR We’re looking for a Platform Security Engineer to join our team and help strengthen the security of Supabase’s infrastructure, cloud platform, Kubernetes environments, and containerized workloads as we continue to scale. You’ll work closely with infrastructure, platform, SRE, product engineering, and technical leadership, helping us proactively reduce risk across the systems that run Supabase. This role is ideal for someone who has deep hands-on experience with AWS, Kubernetes, containers, Linux, and large cloud environments and is excited about securing developer infrastructure without slowing teams down. Success in this role means improving the security posture of the platform through pragmatic engineering, clear technical judgment, and scalable guardrails. WHAT YOU’LL BE RESPONSIBLE FOR In this role, you’ll: - Identify and reduce security risk across AWS, Kubernetes, containerized workloads, and platform infrastructure. - Conduct threat modeling, architecture reviews, and technical risk assessments for platform and infrastructure systems. - Partner closely with infrastructure, platform, and SRE teams to design practical controls and secure-by-default patterns. - Improve Kubernetes and container security across areas like workload isolation, RBAC, admission control, secrets, network policy, and runtime hardening. - Assess container runtime and Linux isolation risks, including capabilities, seccomp/AppArmor, namespaces, cgroups, and container escape scenarios. - Strengthen AWS security posture across IAM, account boundaries, network controls, logging, detection, encryption, and service configuration. - Build scalable mechanisms such as automation, guardrails, paved paths, detection, secure defaults, and review frameworks. - Distinguish between theoretical risk and material platform risk to prioritize security efforts effectively. YOU MIGHT BE A GOOD FIT IF YOU - Have senior-level experience in platform security, cloud security, infrastructure security, container security, or security engineering. - Have deep practical experience with AWS, Kubernetes, containers, and Linux security fundamentals. - Have worked in large cloud environments, multi-cluster Kubernetes setups, developer platforms, SaaS platforms, or high-scale infrastructure teams. - Can reason clearly about identity, networking, workload isolation, runtime security, secrets, supply chain, and blast radius. - Communicate clearly across both technical and non-technical audiences, especially in a written, asynchronous environment. - Are able to manage security efforts across complex projects with various stakeholders - Are energized by solving real-world infrastructure security problems and navigating ambiguity while moving quickly. - Prefer building guardrails, automation, and secure defaults over creating unnecessary process or bottlenecks. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Canada, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. PlayStation Studios is the game development division of Sony PlayStation, and is responsible for developing some of the most recognisable and ambitious console games and franchises on PlayStation, including The Last of Us, Horizon, Spider-Man, God of War, Helldivers and Gran Turismo. We work with some of the best game studios in the world, and use data to help them make their games even better. We provide end-to-end analytics services for PlayStation Studios and use data to help them in the game development lifecycle. We are looking for talented people to join us in pushing the boundaries of game analytics for PlayStation games. As a Lead Analytics Developer, you’ll work in our cross-disciplinary engineering team to scale our platform, expand its reach, and help define and build the future of analytics for PlayStation games. You should have a passion for video games and a background in data or analytics engineering.  You’re looking for a fun, dynamic environment to take on new challenges. In your first six months , you will work on new title launches, and build data models to ensure efficient and consistent queries. To build these data models, you’ll work directly with game studios and data analysts to design and validate suitable in-game telemetry. You’ll also help expand our use of technologies, such as dbt and airflow, in ways that are suitable to our use cases. You will be given ownership of data models for specific games and work closely with Game Analytics team members and game studio colleagues to ensure we’re building with consistency and performance in mind. We’d love to hear from you if: You are adept at writing SQL on analytics (OLAP) databases (preferably Redshift, or similar databases) You have experience implementing and using data modelling tools such as dbt or SQLMesh You have experience in transforming business needs into data model requirements & solutions You’re excited by Big Data projects and technology, and want to gain more experience in this area You’re committed to quality as a top priority, and have an interest in repeatable, testable, destructible, test-driven database development Bonus points for: a degree in Computer Science experience with Python, AWS Glue, source control (Git, Liquibase), Airflow familiarity with AAA game development and modern console games We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $141,900 — $212,900 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer, Adaptive Experiences Platform Waterloo, ON About the Role The DTIS organization is building the next generation of adaptive experiences for PlayStation. Our vision is to make every customer touchpoint more relevant, useful, and joyful by combining reusable experience capabilities with personalization, merchandising, experimentation, and intelligent decisioning. We are looking for a Staff Software Engineer to help lead the evolution of our Dynamic Experience Management platform, allowing teams to create and optimize experiences without requiring bespoke implementation for every client, iterating rapidly. You will be a hands-on technical leader working across the experience stack. You will also shape the architecture needed to extend capabilities beyond PS5, across web, mobile, and other PlayStation devices. This is an opportunity to define foundational technology that will change how PlayStation builds, delivers, experiments with, and learns from customer experiences at scale. Responsibilities Define and drive the technical direction for our experiences client SDK, translating the adaptive-experiences vision into an incremental, production-ready architecture. Design and evolve the platform-independent composition layer, public TypeScript APIs, versioned schemas, content adapters, component model, data bindings, and platform renderer contracts. Build reusable experience primitives and native rendering capabilities that support responsive layouts, personalization, experimentation, telemetry, accessibility, localization, and platform-specific interaction models. Establish safe coexistence and migration patterns, including backward compatibility, capability negotiation, validation, feature flags, fallbacks, rollback, and observability. Profile and optimize bundle size, startup and time-to-interactive performance, memory usage, rendering behavior, and runtime reliability on resource-constrained client platforms. Improve developer experience through clear interfaces, reference integrations, test harnesses, preview and debugging tools, automated compatibility testing, and high-quality documentation. Help establish governed, agent-assisted authoring and validation workflows that can translate design and business intent into trusted artifacts, supported by policy checks and evaluation suites. Partner with client, design system, merchandising, content, personalization, experimentation, and platform service teams to align contracts and deliver end-to-end capabilities. Provide technical leadership across team boundaries, mentor engineers, make sound trade-offs in ambiguous problem spaces, and communicate architecture and decisions to technical and non-technical stakeholders. Required Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 8+ years of professional software engineering experience, including significant experience designing and delivering production client platforms, SDKs, frameworks, or shared libraries. Expert-level proficiency with TypeScript or JavaScript and strong experience with React, React Native, or a comparable component-based client framework. Strong software architecture and API design skills, including modularity, dependency management, versioning, backward compatibility, and incremental migration of large production systems. Experience building data-driven or server-driven user interfaces, reusable component systems, or runtime composition frameworks. Demonstrated ability to diagnose and improve client performance and reliability using profiling, telemetry, automated testing, and production observability. Experience designing for more than one client environment, such as console, mobile, web, TV, or embedded platforms, with a practical understanding of platform-specific constraints. Proven track record of solving ambiguous, cross-functional problems with minimal direction and driving alignment without relying on formal authority. Strong written and verbal communication skills, including the ability to document architecture and explain complex technical decisions clearly. Preferred Qualifications Experience with console development, living-room interfaces, focus-based navigation, or performance-constrained native clients. Experience with schema-backed declarative UI, domain-specific languages, JSON Schema, component expansion, data binding, hydration, or client-side rendering engines. Experience building or integrating client SDKs, content management or merchandising systems, personalization platforms, experimentation frameworks, or design systems. Experience migrating a large client application away from a legacy rendering or content-delivery framework using staged rollout, compatibility layers, and measurable exit criteria. Experience developing platform adapters or renderers for iOS, Android, web, or other native client environments. Familiarity with content and layout separation, runtime content sources, telemetry provenance, accessibility, localization, and safe fallback behavior. Experience with developer tooling, visual preview systems, contract testing, schema validation, or automated cross-platform regression testing. Experience applying generative AI or agentic workflows to software or content creation, including evaluation, governance, and deterministic output constraints. A track record of technical leadership and mentoring across multiple teams. Additional Skills Motivated self-starter who combines long-term architectural thinking with pragmatic, incremental delivery. Customer-focused and attentive to developer experience, operational usability, and measurable product outcomes. Comfortable working in a fast-paced, collaborative environment with partners across product, design, engineering, and operations. #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $188,200 — $282,200 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role As an Intermediate Backend Engineer, you will take backend features and improvements from clarifying the problem through shipping them and following up in production. You will work within a product area, partnering with Product Management, Frontend, Infrastructure, and Security to deliver predictably and contribute to the quality, security, performance, and maintainability of shared backend code and services. You will be trusted to work with minimal guidance, to know when to seek help, and to communicate clearly in a remote, asynchronous environment — with other tenured engineers alongside you to review your work, think through hard problems with you, and help you grow. Why you’ll love this role Ownership: You'll take features from requirements through delivery and follow-up; your code will run on a platform used by millions of users. Learning and Growth : You’ll work alongside your engineering team, who treat code review and design review as a learning loop rather than a gate — one of the fastest ways to grow your engineering judgment. Innovative Culture: You’ll use AI as a genuine part of daily engineering work, developing the judgment to know when to trust it and when not to. Autonomy: You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success. User-Centric Collaboration: You’ll partner closely with PMs and designers to shape requirements, so you understand why you’re building something, not just what. What you’ll do Own and Ship Features: Design, implement, test, and ship backend features and improvements with minimal guidance, working in Ruby/Rails, Go, or any other modern languages. Build for Production: Write maintainable, secure, observable, and performant code. Design and maintain APIs, background jobs, integrations, and bounded service functionality, and work with data models, migrations, indexes, and query behavior. Test and Review: Add and improve automated coverage — unit, integration, contract, and end-to-end where appropriate — and review others’ code for correctness, maintainability, security, performance, and operational risk. Operate What You Build: Investigate build, test, deployment, and runtime failures at the feature boundary, identify technical debt and propose practical improvements, and take part in on-call or operational support where your team’s ownership model requires it. Leverage AI: Use AI productively in daily work, validate what it produces, and understand where its limitations matter. What you’ll bring Backend Fundamentals: Professional experience building and shipping production backend applications, with strong programming, API, database, testing, debugging, and performance fundamentals. Adaptability: Experience with Ruby/Rails, Go, or any other modern backend language. We value the ability to learn and adapt over mastery of a single language. Feature Ownership: The ability to take a feature from clarification through delivery and follow-up, working independently while seeking input at the right time. Practical Judgment: Sound instincts about security, reliability, performance, maintainability, and operational risk, plus an understanding of modular backend boundaries and the consequences of coupling. Clear Communication: Strong written communication and effective collaboration in a remote, asynchronous environment. AI Fluency: Practical experience with AI coding tools, including the ability to review and correct what they generate. Helpful experience Production Go services, APIs, concurrency, profiling, or gRPC. Docker, Kubernetes, Helm, CI/CD, or cloud deployment. Rust, particularly for systems, security, performance, or platform work. PostgreSQL, schema evolution, caching, queues, messaging, or event-driven workflows. Observability using metrics, logs, traces, dashboards, and alerts. Contributing to a modular monolith, bounded context, shared component, or independently operated service. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role As a Staff Backend Engineer, you will provide technical leadership across your team and adjacent teams, solving the highest-scope and most complex problems in your area. You will lead large, cross-cutting backend initiatives, drive our modular architecture strategy, and define the standards that let teams move faster without compromising quality, security, reliability, or operability. This is a technical leadership role that combines deep backend expertise, systems judgment, product judgment, and influence across organizational boundaries. You will work with Product, Frontend, Infrastructure, Security, Data, Engineering Managers, and engineers across product groups, bringing subject matter expertise, and you will do it without relying on formal authority. Why you’ll love this role Leverage: Your work multiplies across teams. The platforms, standards, and architectural decisions you lead determine how quickly everyone else can ship. Genuinely Hard Problems: You’ll lead the modernization of a large monolith toward modular, reusable, appropriately independent systems — at the scale of a platform used by millions of users. Influence Without Bureaucracy: You’ll shape technical direction across teams through clear written proposals and decision records, and partner with Product and Engineering leadership on platform roadmap and investment trade-offs. Frontier AI Work: You’ll lead adoption of AI-assisted and agentic engineering workflows and define the review, quality, security, and privacy guardrails that make them safe to rely on. Autonomy: You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success. What you’ll do Lead Cross-Cutting Initiatives: Lead the technical design and delivery of large backend initiatives that span teams, and identify and remove systemic bottlenecks across product and infrastructure groups. Own Architecture Strategy: Drive modular backend, service, data, and platform architecture. Lead modernization of the monolith and legacy backends toward modular, reusable, and appropriately independently operated systems — while preventing fragmentation and service sprawl. Set the Standards: Define and improve standards for APIs, contracts, compatibility, schema evolution, testing, security, performance, observability, operability, and maintainability — plus the build, test, deploy, release, rollback, and production-readiness practices needed to operate modular features safely. Establish Shared Patterns: Create the patterns for dependency management, data ownership, eventing, failure isolation, service maturity, and operational documentation. Establish Go service patterns and Kubernetes operating practices where they matter to our production estate, and guide Rust adoption where it solves a real systems, security, performance, or supply-chain problem. Own What You Build in Production: Take part in on-call and incident response for the systems your teams own, act as a technical escalation point during complex incidents, and turn what you learn into architectural and operational improvements that prevent recurrence. Influence and Partner: Shape technical direction across teams without formal authority, and partner with Product and Engineering leadership on platform-level roadmap decisions and investment trade-offs. Grow Engineers: Mentor Senior and Intermediate engineers, shepherd technical debt reduction and reusable patterns that improve throughput, and raise the technical capability of the wider team. Lead AI Adoption: Lead team-level adoption of AI-assisted and agentic workflows, including the quality, security, privacy, and operational guardrails, and help engineers direct, validate, reject, and course-correct agent output. What you’ll bring Cross-Team Technical Leadership: A sustained record of technical leadership across more than one team or a broad product area. Deep Architecture Experience: Deep backend architecture and production experience in complex applications, services, or platforms, including scaling or governing APIs, service platforms, data systems, modular monoliths, or shared backend components. Modularization in Production: Experience modernizing a monolith or legacy backend architecture in production, and with modular architecture such as bounded contexts, package encapsulation, ports and adapters, service extraction, event-driven boundaries, or an equivalent approach. Influence Without Authority: A strong ability to create alignment through clear written proposals and decision records, so decisions are documented, understood, and adopted without constant escalation. Product Judgment: The ability to balance customer outcomes, delivery speed, technical health, reliability, and long-term platform investment. Mentorship: Experience mentoring engineers and shaping standards through code review, documentation, and example. Agentic AI Leadership: Production experience with AI-assisted or agentic engineering workflows, including the ability to evaluate and improve how a team adopts them. Helpful experience Go services and APIs at scale. Kubernetes and cloud-native operations, including deployment, scaling, observability, rollback, and production readiness. Rust adoption or production ownership for systems, security, performance, or platform components. Ruby/Rails modularization and large-monolith modernization. PostgreSQL scaling, data partitioning, queues, messaging, or distributed systems. Security-sensitive product or software supply chain engineering. Experience across SaaS, single-tenant, self-managed, or air-gapped deployment constraints. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a Software Engineer to join the Next.js team . In this role, you'll work on the core of the framework, collaborating directly with the open-source community, shaping the future of the web, and delivering impactful features to a global audience of developers. Our team is responsible for advancing Next.js and its ecosystem, enabling developers to build faster, more scalable, and more performant applications. If you’re passionate about web standards, open source, and developer experience, you’ll thrive here. You’ll work on challenges such as server rendering, routing, bundling, performance optimizations, and integrating emerging web standards – all while ensuring the framework remains intuitive and stable. What you'll do Design and implement core features in Next.js, from RFC to release Collaborate with internal teams (like Vercel’s platform and runtime teams) to build seamless integrations between framework and infrastructure Engage with the open-source community through issues, PRs, RFCs, and discussions Optimize performance across the full stack – from server to browser to edge Stay up-to-date with emerging web standards (e.g., React Server Components, Partial Prerendering, Web Streams) Contribute to developer tooling, docs, and examples that help others succeed with Next.js What you need Strong experience in JavaScript, TypeScript, and React Deep understanding of web fundamentals: HTML, CSS, HTTP, rendering models, caching Experience building production-grade web applications or frameworks Familiarity with build tools (e.g., Webpack, Turbopack, Babel, SWC, or similar) A collaborative mindset and clear communication – especially when working in public/open-source Why Vercel: Work on one of the most widely used web frameworks in the world Collaborate with the team behind Next.js, Turbopack, and other open-source tools Fast-moving, developer-focused culture with autonomy and ownership Competitive compensation, equity, and benefits (remote-first team, generous PTO, learning stipends) Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $196,000-$294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location, and the total package includes benefits and equity-based compensation. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: United Kindom, United Kingdom Workplace: remote 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 seeking a highly skilled DevOps Specialist to architect, implement, and maintain end-to-end CI/CD pipelines using GitHub, with a strong focus on test-driven deployment, automated release management, and Infrastructure as Code (IaC) practices. The ideal candidate will containerize services using Docker, manage build, compilation, and publishing workflows for JavaScript, TypeScript, and C++ packages, and design robust multi-language build pipelines leveraging CMake or similar build tools. The role also includes automating build, tagging, and publication processes across web, desktop, and mobile platforms to ensure consistent and traceable releases. Deep expertise in Linux system administration, networking, and IaC tools is essential to deliver scalable, secure, and highly available deployments. Responsibilities Lead the design, architecture, and management of CI/CD pipelines using GitHub Actions (and similar tools), ensuring fast, reliable, and reproducible software delivery. Implement and enforce test-driven deployment systems, integrating automated testing, validation, and monitoring to maintain code quality and accelerate feedback cycles. Containerize applications and microservices with Docker, optimize image builds, and manage deployment pipelines for distributed environments. Oversee the build, packaging, and publishing lifecycle for JavaScript, TypeScript, and C++ packages, including versioning, semantic tagging, and NPM or internal registry publication. Develop and maintain cross-platform build pipelines using CMake or equivalent tools, ensuring consistent compilation and release workflows across web, desktop, and mobile. Automate end-to-end release processes, including tagging, building, signing, and distributing mobile, web, and desktop applications. Define and manage Infrastructure as Code (IaC) to provision and maintain reliable, scalable, and secure infrastructure environments. Collaborate closely with development, QA, and operations teams to troubleshoot deployment issues, optimize performance, and improve release reliability. Continuously improve observability and feedback loops, leveraging monitoring and alerting systems to maintain operational excellence. Mandatory: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline. 3+ years of hands-on experience architecting and maintaining CI/CD pipelines using GitHub Actions or equivalent tools at scale in a production environment. Strong proficiency in test-driven deployment methodologies, including writing and maintaining automated test suites for integration and end-to-end validation. Expertise in containerization technologies such as Docker, including image creation, registry management, and basic orchestration patterns. Experience managing package lifecycles for JavaScript and TypeScript, including versioning, compilation, semantic tagging, and publishing workflows to NPM. In-depth knowledge of C++ build systems, specifically CMake, with proven experience optimizing native build and deployment pipelines. Advanced Linux system administration and networking skills, including shell scripting, package management, performance troubleshooting, firewalls, and VPN configuration. Excellent communication, problem-solving, and collaboration skills, with the ability to work effectively in globally distributed teams. Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, AWS CDK or AWS CloudFormation. Experience with mobile CI/CD automation, including build, tagging, and publication for iOS and Android applications Advanced knowledge of release management practices, including automated versioning, signing, and artifact distribution. Preferred: Exposure to observability and monitoring systems, leveraging tools like Prometheus, Grafana, or ELK for deployment health tracking. Experience working in high-availability, security-sensitive environments, especially in fintech, blockchain, or distributed systems contexts. Experience deploying and managing blockchain-based applications. Exposure to AI/ML pipelines, including automated model training, evaluation, and deployment using frameworks like PyTorch or TensorFlow. 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.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We’re looking for a Product Engineer to join our team and help us build cutting-edge, AI-powered video creation and collaboration tools. Rather than specialists, we’re seeking curiosity-driven engineers who are thoughtful problem solvers and thrive in fast-paced, high-ownership environments. Our engineering team is highly collaborative and works on a wide variety of exciting challenges, including developing new interfaces for AI content creation, building LLM-powered features and conversational experiences, and deploying cutting-edge computer vision and generative models to production. A PEEK AT OUR TECHNICAL STACK The rich UI of our generative AI tools is powered by TypeScript and React with MediaBunny driving in-browser media and React Flow powering our node-based creative workflows. Our API endpoints for user and media management are written in TypeScript and Node.js and deployed as containerized services on AWS ECS Fargate. We leverage AI APIs to power advanced generative capabilities. WHAT YOU’LL DO - Create rich multimedia interfaces using the cutting-edge of the latest AI video generation models Gen-4.5 and Aleph 2.0 - Build end-to-end full-stack AI-powered product features — designing and developing both frontend experiences and backend systems, including authoring server-side processes and APIs that power our generative AI tools - Design and implement LLM-powered features and conversational interfaces - Partner with a world-class engineering team pushing the boundaries of creativity and content creation on the browser - Take on new challenges across the Frontend stack to implement product features for Runway’s machine learning-based generative AI tools - Improve the performance, reliability, and code quality of our codebases WHAT YOU’LL NEED - 5+ years of industry experience in a software engineering role, ideally full-stack focused - Demonstrated fluency in one or more programming languages, including but not limited to JavaScript/TypeScript - Experience building with third-party AI APIs (e.g., chatbots, LLM integrations) - Experience in architecting production-ready systems and familiarity with debugging and profiling tools - Ability to rapidly prototype solutions and iterate on them with tight product deadlines - Humility and open-mindedness; at Runway, we love to learn from one another Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems. As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude—and an increasing share of the hardest problems live below the application layer. We're building next-generation observability systems—high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools—so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard. Key responsibilities Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes Reduce mean time to detection and resolution by building cross-signal correlation—from kernel-level events up to application traces—unified query interfaces, and AI-assisted diagnostic tooling Drive fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization Minimum qualifications Have hands-on experience building and operating large-scale observability or monitoring infrastructure Have deep, hands-on experience with observability signals end to end—from instrumentation through ingest to query and analysis Understand high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale Are comfortable digging below the application layer into the kernel, the network stack, or the hardware Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities Are excited about building foundational infrastructure and comfortable navigating ambiguous, high-impact technical challenges, both independently and with a team Preferred qualifications 10+ years of relevant industry experience, including building and operating large-scale observability or monitoring infrastructure Experience building or operating eBPF-based observability in production—tracing, profiling, or network visibility Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization Kernel- and syscall-level debugging experience and performance engineering craft Experience profiling or instrumenting accelerator workloads Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £390,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Проектировать и реализовывать end-to-end LLM-пайплайны, включая продвинутые RAG-системы и автономных AI-агентов (планирование, function calling, мультиагентная оркестрация) — Дообучение и адаптация: SFT/RLHF/DPO, LoRA/QLoRA под бизнес-задачи; решать, когда нужно дообучение, а когда достаточно промпт-инжиниринга или RAG — Поддерживать культуру качества: внедрять продуктовые и ML-метрики (RAGAS, DeepEval, LLM-as-a-Judge), автоматизировать регрессионное тестирование — Писать чистый, документированный и тестируемый python-код, проектировать API-контракты для ML-компонент — Участвовать в код-ревью, формировать технические стандарты команды, работать напрямую с продуктом и стейкхолдерами Требования: — Опыт в DL/NLP от 4 лет, включая обучение и дообучение моделей на PyTorch, из них не менее года практического опыта с LLM — Практический опыт построения AI-агентов и LLM-пайплайнов с использованием LangChain/LangGraph — Глубокое понимание архитектуры современных LLM: attention, MoE, RoPE, KV-cache, методы alignment (RLHF/DPO), принципы эффективного инференса — Сильная инженерная культура: Python (asyncio, pydantic, fastapi), чистый тестируемый код (pytest), асинхронные микросервисы; понимание Docker/K8s, CI/CD для ML — Оценка и мониторинг: уверенное владение инструментами LLMOps (Arize, LangSmith, W&B, Phoenix), опыт создания кастомных eval-пайплайнов — Работа с данными: опыт предобработки сложных данных для датасетов, знание SQL

Location: Mississauga Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. PointClickCare is searching for a Principal AI Engineer who will lead and design AI systems across multiple SaaS solutions following our AI Design Patterns, defining technical standards and reusable patterns for reasoning, tool use, and coordinated action. This role will be part of a team which drives enterprise-wide AI enablement by defining strategy, evangelizing adoption, and delivering measurable business impact. It identifies and prioritizes high-value AI use cases, builds scalable AI solutions, and creates playbooks and patterns to accelerate implementation. Through innovation hubs and close collaboration with product, engineering, and operations, the team transforms prototypes into production-ready solutions. Additionally, it invests in talent development, equipping teams with the skills and tools to embed AI across the organization and leads governance of AI solutions across the organization.      To succeed as a Principal AI Engineer at PointClickCare, you need to be highly innovative, creative, accountable, collaborative, and passionate. The Principal AI Engineer partners with cross-functional teams to transition prototypes into secure, observable production solutions and establish playbooks, evaluation frameworks, and platform components to accelerate adoption. Additionally, the Principal AI Engineer mentors' teams and ensures alignment with Responsible AI, security, and regulatory requirements.    Responsibilities    - Set the technical vision and reference architecture for agentic AI across applications defining org-wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.   - Build and govern reusable platform components—model broker & multi-model routing, orchestration services, evaluation harnesses, prompt/versioning stores, and telemetry—to accelerate adoption across teams.   - Develop and refine advanced prompting strategies for LLMs.    - Drive cross-functional roadmaps and integration standards across  business teams—setting API/versioning contracts, optimizing LLM/agent cost performance, and mentoring engineers to raise the bar.   - Establish and evolve evaluation frameworks for LLMs and agentic systems, including offline and online testing methodologies, safety assessments, quality metrics, and business outcome dashboards. - Be the go-to Subject Matter Expert (SME) and internal AI expert for relevant enterprise applications, senior leadership, vendors, business partners and internal team members while staying ahead of emerging trends and advising on best practices  - Identify, prioritize and execute AI use cases with clear business outcomes  - Be a coach/mentor for other engineers on AI maturity, including performing peer reviews, leading technical knowledge sharing sessions, establishing engineering best practices, approving pull requests and improving the overall quality of the technical solution      Qualifications we are looking for:  Proven leadership shipping agentic AI at scale across multiple products, setting organization wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.  Must Have - Expertise & Hands-on experience in Agentic AI Tech stack primarily in Microsoft (Azure AI Foundry, Azure OpenAI, and Azure AI Document Intelligence) and Anthropic (Claude Cowork and Claude Code).  Must Have - Advanced Python & Java expertise in production systems (testing, packaging, performance profiling) and deep experience extending agent frameworks such as Anthropic, LangChain, and Foundry.  RAG/agent data pipeline expertise: document preprocessing (OCR/NER), chunking strategies, embeddings, vector stores, and data quality/versioning—with evaluation of harnesses for quality, cost, and latency  Extensive knowledge and understanding of enabling and maturing AI in a SaaS landscape.  Model serving and cost/perf optimization: experience with model broker patterns, multi-model routing, and serving stacks  Must Have - knowledge of relational databases (e.g. Microsoft SQL Server, PostgreSQL) Experience using system and performance monitoring tools (e.g. AppDynamics, Kibana, OpenTelemetry) BSc/BA in Computer Science or a related degree   Bonus points for: ·       Experience with Docker, Kubernetes and Istio ·       Experience with AWS/Azure cloud services or equivalent ·       Experience with Service Oriented Architecture  ·       On-call experience with production grade systems   #LI-AV1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $191,700-213,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: United Kingdom Workplace: Remote We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells.   What you will be doing: - Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win - Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives - Install Coder on cloud and on-prem Kubernetes or VM infrastructure - Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals - Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact - Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product - Track and report product issues and feature requests using Linear - Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation - Contribute pull requests to Coder’s documentation   What you bring: - Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling - Strong customer-facing skills that win trust with technical stakeholders - Ability to translate technical hurdles into business value in real time - Understand agentic AI software development use cases and advocate passionately where appropriate - Comfortable leading architecture demos and deep-dive troubleshooting sessions - Deep Linux fundamentals and comfort at the command line - 3+ years hands-on with Docker and Kubernetes - Experience with AWS, Google Cloud, or Microsoft Azure - 3+ years with Terraform or comparable infrastructure-as-code tooling - Solid grasp of networking: ingress controllers, proxies, load balancers - Experience with AI tooling at both the user level and infrastructure level (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM) and the ability to speak credibly to how enterprises evaluate and adopt them - Startup-speed execution, ownership mindset, and a player-coach attitude   Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Success at both high-growth startups and larger software vendors - Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Devin, or similar autonomous/semi-autonomous dev tools) - Background in CI/CD, DevOps, or developer-platform products - Experience in platform engineering or developer platform teams - Kubernetes, AWS, or related certifications ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Who we are At OneSoil, we’re building tools that empower farmers and agribusinesses worldwide. Our mobile and web apps help monitor fields, optimize inputs, and increase yields using satellite imagery and proprietary AI models. OneSoil is headquartered in Zurich, with offices in Poland, Ukraine, and Cyprus. Our technology is used across 4% of the world’s cropland. This year, we became the first company to launch an AI Agronomist globally. What You’ll Do Lead and grow a product-focused backend team. Hire, mentor, and develop engineers to reach their full potential. Shape the technical vision and architecture of our backend systems, ensuring scalability, security, and high availability. Drive the delivery of backend features in collaboration with product managers, designers, and AI/ML engineers. Foster a culture of technical excellence and ownership within the team. Build products that leverage modern AI models to deliver value to farmers worldwide. Improve development processes and team workflows to ensure consistent and timely delivery. Act as a hands-on technical leader: design and review solutions, unblock the team, and contribute to critical code when needed. You’re a Great Fit If You Have 5+ years of backend development experience, with strong Python expertise. Experience leading and scaling a product engineering team. Strong expertise in Python 3.12+, Django 4+, Django REST Framework, Celery, pytest, Redis, PostgreSQL, Docker, RabbitMQ, and AWS. Familiarity with FastAPI and Kubernetes. Bonus points for experience with PostGIS, Helm, or ArgoCD. A track record of building and shipping scalable SaaS products. A solid understanding of Agile methodologies and the ability to align engineering with product goals. A passion for mentoring engineers and building healthy, high-performing teams. Curiosity and excitement about AI/ML-driven products. Proficiency in Ukrainian is a plus. What We Offer A distributed international team with the flexibility to work from anywhere. A product that is changing how agriculture works and creating value for farmers worldwide. A key role in defining our technical and team strategy as we scale.

Location: Brazil; Uruguay; Peru; Colombia; Argentina; Paraguay; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We're looking for a React Native engineer to join a cross-functional Consumer pod focused on building and scaling core Krak experiences. You'll build alongside Product, Frontend and Backend Engineers in your pod, delivering seamless, performant user experiences across our Krak app, holding the features you ship to a high bar for UX, technical quality, and reliability. It's an opportunity to build high-impact, consumer-facing functionality used daily by a global user base. The opportunity - Design, develop, and maintain high-quality mobile applications using React Native and TypeScript, with a strong product focus and outcome-oriented mindset - Own the end-to-end delivery of assigned Krak features, from technical design through release and post-launch iteration, working closely with product strategy and customer needs - Build screens and components that are maintainable, performant, and resilient, applying established architecture and design patterns - Write clean, well-tested code and take an active part in code review, applying the team's engineering standards consistently - Contribute to technical design discussions within your pod, raising clear proposals and trade-offs for the work you own - Work closely with Product Managers, Designers, and the Rust backend engineers in your pod to deliver features with measurable customer value - Help improve code quality, shared components, and tooling across the Krak mobile codebase, keeping current with the React Native ecosystem What you bring - 3+ years of software development experience with a proven track record shipping large-scale, product-facing consumer mobile apps using React Native - Solid working knowledge of JavaScript/TypeScript; hands-on experience with APIs, mobile performance, frontend testing, and modern build pipelines - Strong product engineering mindset. Comfort working closely and iteratively with product and design teams to ship customer value - Comfort working with real-time systems (WebSockets, live updates) and building responsive, interactive experiences - Strong understanding of UI/UX best practices, empathy for the customer, and a passion for building intuitive, performant consumer experiences - Demonstrated ability to learn and adapt to emerging technologies and development practices - Strong written and verbal communication skills in English Nice to haves - Familiarity with native mobile app development (iOS/Android) or micro interactions and animations in React Native - Experience in consumer payments, crypto, or fintech mobile applications - Full-stack engineering experience or demonstrated capability to flex into backend systems work. This is a significant value add for engineers on the team, especially paired with working knowledge of Rust, Go, or C++ - AI fluency. Familiarity with how AI tools and patterns have fundamentally shifted your development workflow and problem-solving approach - Experience with Next.js, WebSockets, async architectures, APIs, and microservices - Experience within a large technology organization or fast-growing startup - Contributions to open-source or the broader engineering community Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Milan, Italy; Biassono, Italy Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🗺️ THE ADVENTURE AHEAD As a Senior Product Engineer I at Docebo, you aren't just writing code; you are the architect of a world-class SaaS platform that empowers millions to learn and grow. You’ll join a cross-functional team where your mission is to design and deploy solutions that push the boundaries of EdTech. By embracing "Near Zero Handovers," you will have the autonomy to see your ideas move from a whiteboard concept to a global production environment. This is your chance to tackle complex technical challenges and leave a lasting mark on a product that is literally shaping the future of work. Our Tech-Stack We build modern, scalable, and resilient products. Our ecosystem is diverse, and we believe in leveraging the best tools for the job. In this role, your day-to-day will be mainly focused on Golang and PHP development, and when needed supporting on Frontend development using Angular. Here is a snapshot of our technology stack: - Core Backend: We power our services using PHP, Node.js (TypeScript), and Golang. We are also embracing Serverless architecture, leveraging it specifically for our newest modules and features to ensure maximum scalability and speed of innovation. - Frontend Ecosystem: Angular is our main framework for web applications, though some of our cross-functional teams build components using React. - Mobile Development: We deliver high-quality cross-platform mobile experiences powered entirely by React Native. - Cloud & DevOps: Our entire infrastructure is fully cloud-native and hosted on AWS.   🛠️ THE DAY-TO-DAY - Engineer Excellence: Design, implement, and deploy scalable software solutions that enhance the core functionality of our global SaaS platform. - Collaborate Without Borders: Partner closely with Product Managers, UX designers, and QA legends to turn visionary concepts into high-performing features. - Champion Code Quality: Write clean, efficient, and beautifully documented code while participating in peer reviews to keep our standards sky-high. - Crush Technical Debt: Proactively engage in refactoring efforts to boost system performance and ensure our codebase remains maintainable and modern. - Solve Complex Puzzles: Monitor and troubleshoot live applications, identifying and resolving issues quickly to ensure our users always have a smooth experience. - Live the Agile Life: Fully immerse yourself in sprint planning, daily stand-ups, and retrospectives to keep our momentum and goals perfectly aligned.   💪 YOUR SUPERPOWERS - Experience: 4 + years of experience in full-stack development - Technical Versatility: You have hands-on experience with Golang or PHP (or both) and in any frontend technology (Angular or React). - Agile Expertise: You thrive in Scrum environments and possess a clear understanding of CI/CD processes and rapid delivery. - DevOps DNA: Experience with Docker, Kubernetes, or Infrastructure as Code tools like Terraform. - Testing Mastery: You have a passion for automation and experience with testing frameworks to ensure high-velocity delivery. - Proactive Problem Solver: You have a "can-do" mindset and the diagnostic skills needed to fix complex issues with speed and efficiency. - Collaborative Spirit: You are a dedicated team player who communicates effectively and takes full accountability for your work.   OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized. - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.

Location: Lisbon Workplace: hybrid Spin.AI is a global SaaS cybersecurity company that protects mission-critical data across Google Workspace, Microsoft 365, Salesforce and Slack. Our product – SpinOne unifies SSPM, ransomware protection, DLP, backup & recovery in one platform trusted by enterprise customers worldwide.   As our platform evolves and new features are delivered faster, the volume of manual testing has increased. To keep our quality standards high and ensure stable releases, we are looking for a Middle Manual QA Engineer who takes real ownership of product quality. We expect someone who thinks critically, challenges requirements, spots risks before they turn into incidents, and is comfortable diving into UI, APIs, databases, and backend workflows. You will become part of a strong QA team of 7 engineers, including both Manual and Automation QA specialists, working closely together to maintain high product quality and continuously improve our testing processes.   This role is based in our Lisbon office in a hybrid format. If you are not currently in Portugal, we are open to remote work during the trial period, with relocation to Lisbon afterward. 🧰 Day-to-Day Responsibilities Perform manual testing across UI, APIs, integrations, and backend-driven workflows. Analyze requirements and acceptance criteria, proactively identifying risks and gaps together with PO/PM/Dev. Own and maintain test documentation in Zephyr: create, review, and update test cases and checklists; develop and manage test plans and test cycles; prepare test result reports when required. Validate data integrity and system behavior using database queries. Run and analyze automated test results to identify problem areas, support root-cause analysis, assist with prioritization, and align on next steps with the team. Review product documentation, analyze it critically, and suggest improvements. When needed, deliver short demos or walkthroughs to align with PO/PM 📌 Requirements 3+ years of manual QA experience in Web/SaaS products (CRM/eCommerce is a plus). Strong test design skills (exploratory, risk-based, negative scenarios, regression) and solid bug reporting. Web fundamentals: HTTP, DevTools (Network/Console), basic HTML/CSS, general understanding of Java. Databases are mandatory: understanding core DB concepts + hands-on verification using PostgreSQL. Practical understanding of test plan / test cycle / test case concepts and ability to apply them in Zephyr. Ability to read documentation, analyze it critically, and suggest changes. Critical thinking and initiative to uncover risks and non-obvious defects. English: Intermediate+. 🛠 Tooling (used daily) Jira — bug tracking, tasks, defect communication Zephyr — test management (test plans, test cycles, test cases, regression) Database tools (PostgreSQL) — data validation and verification via SQL queries Browser DevTools (Chrome/Firefox) — Network/Console for request / http analysis, UI behavior, errors Automated tests (CI / project runs) — running and reading results/logs to identify weak spots and support defect analysis and alignment on next steps with the development team Nice to have: Postman, Swagger, Confluence (or similar), AI tools for QA, Jenkins Nice-to-Have: REST API testing (Postman, Swagger). SQL beyond basics. Exposure to test automation (running tests, reading logs/reports). Experience using AI tools to improve QA efficiency. Knowledge of cloud platforms: AWS, GCP, and Azure (basic services, IAM/permissions, core cloud concepts). Java understanding (reading code / following logic is a plus). 🌍 Why Spin.AI Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Work on a real product with real users and visible business impact Work on an interesting and large-scale product Solve complex, non-trivial security and engineering challenges Opportunity to influence technical and product decisions Trust from management and autonomy in day-to-day work Strong, professional team with deep expertise 🎁 What we offer Annual performance-based salary review Annual performance-based bonus Referral bonuses Educational budget Sport & hobby compensation Medical insurance compensation Company presents (birthdays, anniversaries, weddings, etc.) Corporate travel parties twice a year

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Transforming 50M+ daily events into real-time actionable dashboard insights The Dashboards team is responsible for the systems and interfaces that define our partners' daily operations. We build the campaign management APIs, analytics engines, and high-throughput tools that allow advertisers and publishers to configure, monitor, and optimize their activity on our platform. This is not about simple CRUD interfaces, it is about building high-performance data surfaces that drive massive business decisions. Using Go, Kafka, and Druid, we process and render real-time analytics across 50+ million daily events, ensuring accuracy and complex campaign performance reporting at scale. On the frontend, we tackle genuine engineering constraints: utilizing TypeScript and React, we have moved beyond standard library limitations to build highly optimized graph-rendering with Recharts capable of visualizing datasets that would overload conventional solutions. Your Mission & Who We Are Looking For: - QA with 3 years+ hands on automation experience, alongside a strong manual testing foundation. You design and execute structured and exploratory test cases, validate complex user journeys across frontend and backend, and perform regression testing before releases. You identify edge cases and risk areas early and document clear, reproducible bug reports in Jira. - You contribute to UI and API test automation using Playwright, identify critical regression flows worth automating, and maintain existing test suites. CI/CD integration experience is a plus. - API and data testing is part of your toolkit. You test APIs and data-driven dashboard features, and have basic SQL knowledge for backend data validation. You understand what correct looks like at the data layer, not just the UI. - Quality ownership from day one. You participate in refinement and sprint planning from a QA perspective, help define acceptance criteria and test strategies, and proactively flag quality risks before they reach release. - Plus: Experience in SaaS, AdTech, or performance marketing environments. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.  - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Berlin Workplace: Hybrid Internship Program Berlin Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office. Responsibilities - Relentlessly push search quality forward — through models, data, tools, or any other leverage available. - Train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models. - Conduct research in representation learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval. - Build and optimize RAG pipelines for grounding and answer generation. Qualifications - Understanding of search and retrieval systems, including quality evaluation principles and metrics. - Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models. - Interested in representation learning, including contrastive learning, dense & sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization and robust evaluation. - Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).