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Location: Limassol, Cyprus FP Markets Group of Companies is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time Senior AQA Engineer (Fullstack) in the Cyprus office - a certified Great Place to Work®. We are developing a social trading platform and are looking for a strong automation engineer who will build end-to-end test coverage across all product layers, with a primary focus on native mobile applications (iOS / Android) and web. This is a role with real autonomy — you will not be "just another QA in the team," but the person who defines quality standards and gradually builds a process where code physically cannot be pushed to production without passing tests. Currently, there are no automated tests for the mobile applications at all — you will be responsible for building automation from scratch and establishing the surrounding processes. Reporting to: QA Lead Responsibilities: Design and develop a mobile automation framework from scratch for native iOS and Android applications Develop and maintain the backend automation framework (API testing) Cover critical social trading user scenarios: trade copying, deposits/withdrawals, trading account operations Extend test coverage at the web and API levels Integrate tests into CI/CD: execution on every commit, pipelines, reporting Establish pre-commit quality gates using Git hooks (husky / pre-commit) — mandatory test execution before code reaches the repository Execute tests on real devices, emulators/simulators, and cloud device farms Drive automation culture: introduce stabilization/automation iterations to prevent coverage degradation over time Candidate profile: Mobile Experience building mobile automation frameworks from scratch for iOS and Android Native drivers: XCUITest (iOS) and Espresso / UiAutomator2 (Android) Appium 2.x/3.x as a cross-platform tool for native / hybrid / mobile web Strong hands-on experience with Android Studio (ADB, emulators) and Xcode / Simulator Experience running tests on real devices and cloud farms (BrowserStack) Understanding of mobile app architecture, locator strategies, gestures, and testing under different network conditions Understanding that mobile tests are more logically maintained within the application repository rather than as a separate project in another language Languages and Frameworks Strong Java skills (modern versions); solid understanding of OOP Kotlin and Swift knowledge is a plus Test runners and assertions: JUnit 5, test data generation with Instancio / JavaFaker Web / API UI automation with Playwright (Java), Page Object Model, stable locators API automation: REST Assured, REST API and authorization handling Understanding of flaky tests and retry strategies Data Handling Databases: MariaDB / MySQL, state validation via SQL / JDBC Test data setup and cleanup CI/CD and Processes Build management with Gradle, custom tasks for different test suites CI/CD: GitLab CI / Jenkins, integrating automated tests into pipelines Git hooks / husky / pre-commit as a quality gate Reporting: Allure Test management: Jira Nice to Have Experience in fintech / trading / payment products Experience using AI tools in testing (Copilot, AI assistants for test generation/analysis) Experience with Testcontainers Familiarity with App Store / Google Play guidelines Our offer: A certified Great Place to Work®  reflecting our commitment to a positive culture, employee well-being, and support Welcoming, young and multicultural team with approachable leadership Ability to contribute to dynamic business at a growth phase High level of autonomy, support of ideas and putting your expertise into the best practices for the company Continuous personal development, training budget, growth with the company and opportunity to learn from industry leaders Competitive remuneration, regular salary reviews and performance-based incentive schemes Vibrant company life: from team activities to global celebrations New beautiful office in an easily accessible location with company-provided fruits, breakfasts and lunches Free access to multiple sports and wellness facilities across the country Free company-provided parking Medical insurance and pension fund after probation period A gift and a day off on your Birthday Visa and work permit support if required Journey to FP Markets: Interview with HR (30 - 45 min) Technical interview with your future manager (1 - 1.5h) Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!

Location: Netherlands; Romania; Bulgaria; Canada; Serbia; Germany; United States; Spain; Hungary; United Kingdom; Portugal; Moldova; Poland Workplace: Remote ABOUT THE COMPANY Turning marketing into a market-domination weapon, we created a new category — the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy — full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. ROLE OVERVIEW We're looking for a Senior AI Product Engineer to build the AI operating layer behind our marketplace. You take a valuable but unclear business problem — improve lead quality, cut refunds, automate a manual workflow, extract intelligence from calls — and turn it into a dependable production system end-to-end: investigate, define success, design, build, deploy, and improve on real usage data. You are a one-person AI product team for high-leverage problems, not a spec-taker. We are expanding beyond real estate into new service-business niches, and growth is powered by reusable software and automation — not proportional growth in manual work. Every system you ship either compounds into that leverage or exposes where it leaks — no in-between. WHY THIS ROLE EXISTS Our growth is not limited by ideas or data — we already run 40K+ members, 750+ verified daily leads, and 50B data points powering AI. It's limited by how fast we can turn ambiguous, high-value problems into shipped AI systems that actually move business metrics. We need a builder who owns the complete production outcome — not a prompt tinkerer, not a researcher, not a PM who delegates the build. REQUIREMENTS: - Strong record of building and shipping production software end-to-end, ideally in a SaaS, marketplace, or workflow product — with real users and real revenue on the line. - Strong Python and/or TypeScript, plus solid backend fundamentals: APIs, databases, auth, data models, testing, and deployment. - Hands-on experience shipping LLM-powered functionality using model APIs, structured outputs, tool/function calling, retrieval, context engineering, and agentic workflows. - Production automation experience: webhooks, events, queues, schedules, retries, idempotency, monitoring, and failure recovery — not just happy-path demos. - Practical evaluation skills: test sets, traces, quality metrics, regression checks, feedback loops, and root-causing real production failures. - Daily fluency with AI coding agents (Claude Code, Codex, Cursor, or equivalent) — you review, test, refactor, and secure generated work, not ship it raw. - English C1+; our stakeholders, users, and business owners are US-based, and communication must be sharp and clear. - AI-first by default — if you are not already using AI to 3x your own output, you will be behind the rest of engineering. - Product ownership and strong judgment in ambiguous, fast-moving environments — you clarify goals, make tradeoffs, and connect every technical decision to a business KPI. WHAT YOU'LL BE DOING: - Discover high-value product and operational problems by working directly with users, business owners, and internal teams, then frame clear success criteria before writing code. - Design and ship customer-facing AI features and internal automations across lead quality, matching, prediction, call intelligence, CRM, support, and operations. - Build agents and workflows that safely use tools, APIs, databases, calls, SMS, email, and other company systems — with human approval where risk requires it. - Create the context layer around models: instructions, retrieval, memory, structured outputs, tool definitions, permissions, and feedback loops. - Build reliable event-driven and scheduled automation using webhooks, queues, schedulers, retries, idempotency, audit logs, and graceful fallbacks. - Create evaluation datasets and automated checks that measure usefulness, accuracy, failure modes, regressions, latency, and cost — before and after release. - Investigate real production failures and improve the complete system, not just the prompt or the model response. - Turn successful solutions into reusable components and patterns that support additional iSpeedToLead niches without rebuilding from zero. - Own architecture, quality, security, and business outcomes — not just the pull request. THIS IS NOT FOR YOU IF - You want a prompt-only role or a research position focused on training foundation models. - You do no-code-only automation and can't own real production code. - You call yourself a product manager who delegates the build. - You ship unreviewed "vibe coding" and call it done. - You need a complete spec before you can start. - You optimize for demo quality instead of measurable business impact. WHAT WE EXPECT FROM YOU (FIRST 3 MONTHS) We don't do long onboarding: access on day one, context in days, first shipped improvement in the first 30. - Days 1–30 — Understand and ship: you have learned the product, data, and workflows, identified the best first problem with evidence, and released one useful, low-risk improvement in production. - Days 31–60 — Own the workflow: you have launched one meaningful AI product or automation with evaluation, monitoring, clear ownership, and a human fallback — running against real marketplace volume. - Days 61–90 (the bar) — Prove and repeat: the system shows measurable business impact (fewer manual hours, faster verification, lower refunds, better matching, higher conversion, or shorter time from idea to production), reliability is proven, and the solution is turned into a reusable pattern for future workflows or niches. NICE TO HAVE: - Voice AI, call transcription, telephony, SMS, email, CRM, or customer-support automation experience. - Lead generation, marketplaces, real estate, sales technology, or marketing automation background. - Ranking, scoring, prediction, experimentation, or data pipeline experience. - Cloud deployment, Docker, CI/CD, observability, security, and handling sensitive customer data. - MCP, vector search, LangGraph or equivalent orchestration, Temporal, n8n, or custom workflow engines. - Track record taking a product or automation from zero to one in a fast-moving startup. WHAT WE OFFER: - Impact: Own visible, high-value problems with direct access to decision-makers, users, and production feedback at the core of a product-led, AI-powered marketplace. - Autonomy: High ownership, low bureaucracy, and real authority to choose tools based on results and define the reusable AI architecture for multiple future niches. - Flexibility: Remote-first culture with flexible hours and async-friendly communication. 4+ hour overlap with Asia/Dubai required for weekly reviews. - Compensation: Competitive fixed base salary above the market average. - Team: Join a smart, passionate team that moves fast, supports each other, and builds cool stuff. - Time Off: 15 paid vacation days plus 5 paid sick days annually. - Growth: Unlimited learning policy — paid courses, books, and growth resources. - AI-Heavy Environment: AI is deeply embedded across prospecting, research, engineering, and workflows. - Ownership: Real decision-making power and direct ownership of your outcomes. Location: Remote, 4+ hour overlap with Asia/Dubai

Location: Montreal Workplace: remote ABOUT YOU  We are looking for a Site Reliability Engineer (Monetization) who is pragmatic, product-minded, and equally comfortable writing code and running production systems to join our Infrastructure department's SRE team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own the application-level infrastructure and reliability of a high-traffic commerce domain end to end - from deploy pipelines and Kubernetes manifests to SLOs, capacity planning, and production readiness. Strong Kubernetes, observability, and software engineering skills are essential, along with experience in operating production services in a cloud environment (GCP/GKE or comparable) and partnering closely with product development teams. The ability to hold a dual perspective - understanding both how developers ship features and what infrastructure needs to stay reliable - and to bring the reliability lens into design decisions early will be key to your success in this role. This is a hybrid embedded role: you remain part of the SRE organization (practices, standards, duty rotation) while being functionally embedded into the Monetization product domain. You'll build long-term working relationships with the domain's engineering teams, own a meaningful share of their application infrastructure execution, and co-author the reliability practices used company-wide. If you're passionate about making complex distributed systems boringly reliable and love building the commerce and monetization backbone that lets game developers around the world get paid, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Own the application-level infrastructure of the Monetization domain: Helm charts, Terraform configurations, Kubernetes deployments, runtime configuration, and service-level networking and integrations Own the domain's observability: design and implement SLOs/SLIs, monitors, alerts, and dashboards for critical services on Datadog and OpenTelemetry-based tooling Help to set up and evolve CI/CD pipelines for domain services (GitLab CI, GitHub Actions), including deploy and rollback automation Perform capacity planning and performance tuning ahead of expected load - product launches, sales events, and regional rollouts - including load testing and performance regression investigation Run Production Readiness Reviews for new services and major changes; define and enforce what "production-ready" means for the domain Support domain incident response: assist with deep investigation of complex incidents, contribute to post-mortems, drive follow-up reliability improvements, and maintain runbooks Build domain-specific automation that reduces operational toil: runbook automation, deploy helpers, recurring operational scripts Maintain and drive a forward-looking reliability roadmap for the domain together with product engineering leads Participate in product team planning, refinements, and architecture reviews, bringing the reliability perspective before design decisions become expensive to change Co-author company-wide SLO/SLI, capacity, and operational standards together with the broader SRE team; contribute improvements directly to shared SRE-operated subsystems Participate in the SRE duty rotation, supporting developers across the company Qualifications & Skills 3+ years of proven SRE, DevOps, or platform engineering experience: on-call or incident response duty, SLO/monitoring ownership, deploy pipeline and infrastructure work for production services Software development background: you have built and shipped backend services, not only operated them - comfortable reading application code during an investigation and writing production-quality automation in at least one language (e.g., Go, PHP) Hands-on Kubernetes experience: Helm, manifests, deploy strategies, debugging application-level performance and networking issues (GKE or another managed Kubernetes) Solid observability practice: building monitors, dashboards, and SLOs/SLIs on a modern platform (Datadog preferred; Prometheus/Grafana experience also relevant), familiarity with OpenTelemetry Infrastructure as Code exposure (Terraform/Terragrunt) for collaboration with platform teams GCP experience (IAM, networking, managed services) Experience building and maintaining CI/CD pipelines (GitLab CI and/or GitHub Actions) Programming/scripting proficiency sufficient to build automation and tooling (e.g., Python, Go, or Bash) Practical experience with incident response, post-mortems, and driving reliability improvements from incidents Strong collaboration and communication skills — this role works embedded with product development teams daily Experience in payments, fintech, e-commerce, or gaming — high-traffic transactional systems Nice to Have: Kubernetes certifications Google Cloud Platform certifications HashiCorp certifications Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the Site Reliability Engineer (Monetization) position, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Handling infrastructure that processes sensitive financial transactions Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com. Salary varies depending on experience level and location.

Location: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification, we're scaling fast and we're looking for an Analytics Team Lead to make the quality of our identity technology visible, measurable, and relentlessly data-driven. The Impact You'll Make This role sits on the Document Intelligence team — the group behind Incode's industry-leading document processing. Our technology parses identity documents from around the world — passports, visas, driver's licenses, proof of address, and more — for some of the biggest enterprises on the market. Machine learning is the core of the product, and Analytics is what makes its quality visible and its roadmap data-driven. We're looking for a Senior Lead of Data Analytics who is, first and foremost, a sharp hands-on analyst — and who has the leadership experience to grow a small, high-impact team around them. Today the team is three people; you'll be the fourth, owning it end-to-end. This is a true player-coach role: you'll manage and mentor the team while personally writing the pipelines, queries, and analyses. Our analytics is partially built — some data pipelines and testing procedures are already in place, but metric coverage and visibility are far from complete. Your mission is to close that gap. What You'll Own & Drive Lead & Grow the Team — Run the analytics team as a formal manager: own the roadmap, hold 1:1s and performance reviews, develop your analysts, and participate in hiring as the team scales. Stay Hands-On — This role involves a lot of personal execution. You'll write SQL and Python pipelines for data collection, processing, and labeling — and do the analysis yourself. Expand the Metric Tree — Build out the end-to-end metric tree that measures product quality across the document-processing pipeline, closing coverage gaps where the product is currently blind. Build Visibility — Create reporting and dashboards that surface weak points and turn raw signals into clear insights for ML, product, and leadership. Own ML Quality Evaluation — Drive data preparation for ML, model quality assessment, and benchmarking, in tight collaboration with the ML team. Drive Experimentation — Design, run, and interpret A/B tests across mobile and server side, with genuine statistical rigor. Guard Data & Labeling Quality — Monitor accuracy and consistency, and build the controls that keep them high. Bridge to Engineering — When events or data are missing, pinpoint exactly what's needed and where it should come from, write clear and actionable tasks for the backend and data teams, and justify their prioritization in business terms. Systematize — Turn one-off analyses into repeatable, owned pipelines and reporting cadences. Your Background Team leadership experience , paired with a genuine appetite to stay hands-on — you lead and you build. Strong Python , with a bias toward clean, maintainable, well-structured code. Strong SQL and solid experience with columnar / analytical databases. Strong statistics and experimental design — you can design tests (A/B and beyond), reason about significance and power, and interpret results correctly. Modern data tooling — experience with workflow orchestration, data transformation, cloud storage, and experiment-tracking. Our stack is Python, S3, Redshift, ClearML, Airflow, and dbt; equivalent tools are perfectly fine — what matters is that you've worked with this kind of stack. Excellent communication — you can translate a data gap into a prioritized, business-justified requirement, talk to engineers and stakeholders in their own language, and make the case for what gets built. High ownership, autonomy, and pragmatism — comfortable prioritizing impact over perfection in an evolving environment. Bonus points for: Experience with ML-centered products — evaluating model quality and working alongside ML teams. You won't be expected to train production models; at most simple models for data filtering, plus the ability to run existing ones. Familiarity with data labeling processes and quality estimation/maintenance. Domain exposure to identity documents, OCR, or computer-vision pipelines. The Qualities That Set You Apart A player-coach at heart — you draw energy from both growing people and doing the work yourself. Craftsmanship in how you build — clean code, sound pipelines, and analyses others can trust and reuse. Intellectual honesty and statistical rigor — you follow the data where it leads and know when a result is real. A translator's instinct — you turn ambiguous signals into clear insight and make the business case for what to build next. Pragmatism and high ownership — you thrive in an evolving environment and push for impact over perfection. Why Incode? Mission with Meaning — Shape how billions of people prove identity — safely, simply, and ethically. Rocket-Ship Growth — Join at a defining moment where your work compounds in global impact. Elite Team & Technology — Collaborate with top-tier engineers, researchers, and scientists at the forefront of AI. Ownership & Autonomy — Operate with the freedom to test, build, and ship your ideas end-to-end. Global Impact — Your work will shape secure, frictionless identity verification experiences across continents. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: Remote, Global 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. ABOUT THE ROLE We're looking for engineers to join the team building Spark, a lightweight implementation of Supabase written in Rust. It runs on an embedded SQLite-based engine with a Postgres-compatible SQL layer, and ships a PostgREST and Auth compatible API, so applications written against @supabase/supabase-js work as-is. It exists because AI builders and platform partners need a database they can give to every prototype without the cost or the wait: sub-second provisioning, a footprint small enough to run inside a sandbox, and an upgrade path to full Supabase when an app graduates to production. This is a role with a lot of agency. Small team, working product, patterns still to be set. You'll own large areas end to end and make real decisions from day one. WHAT YOU'LL BE RESPONSIBLE FOR In this role, you'll: - Grow API compatibility with the Supabase client, keeping behavior faithful to hosted Supabase and backed by conformance tests - Bring more of the Supabase stack to Turso/SQLite - Find and work around gaps in the underlying database engine, with minimal repros and tests - Build and harden the path for upgrading a project from Spark to full Supabase - Own the developer experience end to end: the CLI, local tooling, and docs - Build and harden the hosted offering while keeping the low cost structure in mind, kept loosely coupled so the implementation can be swapped without a rewrite - Work directly with design partners and turn real-world migration and integration friction into a sharper product - Engage with the open-source community and contribute back to the broader Supabase stack YOU MIGHT BE A GOOD FIT IF YOU - Have substantial backend or full-stack experience with strong fluency in Rust, have shipped production Rust, and have built or contributed to a backend system, framework, or developer platform before - Are a strong generalist, comfortable moving across the stack from API design to storage internals to infrastructure, and picking up whatever the problem needs - Read unfamiliar code without friction. A lot of the work means studying reference implementations in other languages, such as GoTrue in Go, PostgREST in Haskell, and matching their behavior in Rust - Have a solid grounding in SQL and relational databases, experience working close to a database engine (transactions, MVCC, type systems), and the curiosity to dig into where Postgres and SQLite differ - Know Postgres well enough to use it as the reference for correct behavior - Have run services under tight resource limits (multi-tenant, serverless, or embedded) - Have a bias toward compatibility and correctness, and reach for tests and specs to prove behavior - Think around corners. When everyone reaches for the standard playbook, you look for the simpler path that fits a smaller box. You break a complex system down to the 20% that covers 80% of the need, then make it run somewhere far smaller than it was designed for - Care about developer experience: clean APIs, fast feedback loops, and tooling that makes the right thing the easy thing - Are comfortable owning ambiguous, early-stage work and making sound calls that inform and define the spec. This is a founding role on a brand-new team - Are comfortable working in public repositories on a remote, async team - Communicate clearly in writing - Bonus: experience with the Supabase stack, building developer CLIs, a track record of open-source maintenance, or contributions to Rust database or web projects 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.

Задачи: ▫️ Развивать и оптимизировать core-ядро приложения: транзакции, балансы, историю операций, механизмы swap/bridge и on-ramp шлюзы; ▫️ Лидировать запуск новых продуктовых направлений: интеграцию криптокарт, IBAN-платежи, подписки и онбординг внешних провайдеров; ▫️ Отвечать за фичи end-to-end: от проектирования архитектуры до релиза, написания тестов и мониторинга стабильности на проде; ▫️ Тесно взаимодействовать в связке с Product, Design, QA и Backend-инженерами; ▫️ Участвовать в командных дежурствах (on-call) для обеспечения аптайма (примерно 1 неделя в месяц). Требования: ▫️ От 5 лет коммерческого опыта во фронтенде, из них от 3 лет — React Native на продакшен-проектах (в идеале в Fintech или Crypto); ▫️ Реальный опыт работы с ончейн-транзакциями, несколькими блокчейн-сетями одновременно и реальными деньгами пользователей; ▫️ Глубокие, экспертные знания React, React Native, TypeScript, а также строгая дисциплина покрытия кода тестами (Jest, Detox); ▫️ Понимание принципов безопасности мобильных приложений и криптографических операций; ▫️ AI-forward mindset: ты активно, осознанно и эффективно используешь ИИ-инструменты в ежедневной работе для ускорения рутины; ▫️ Свободный русский язык для внутренних коммуникаций и английский от уровня B2+. ▫️ Опыт работы конкретно с некастодиальными кошельками будет твоим огромным преимуществом! Условия: ▫️ 100% удаленка из любой точки мира в международной Agile-команде; ▫️ Сильная инженерная свобода: ты реально влияешь на архитектурные решения и выбор технологий; ▫️ Быстрый профессиональный рост в одном из самых трендовых и высокооплачиваемых направлений разработки; ▫️ Конкурентная заработная плата, которая обсуждается индивидуально под твои пожелания; ▫️ Прозрачный фидбек, культура открытого диалога и минимум согласований. Этапы найма: 1. Скрининг резюме 2. HR-интервью 3. Техническое интервью 4. Финал с CTO 5. Оффер!

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Bengaluru, India About the role We are looking for a talented Distributed Systems Engineer to join the Data Localization team. The team builds the infrastructure that enforces where customer data is stored, processed, and decrypted across one of the largest globally distributed edge networks in the world. The problem is not simply building fast, resilient distributed systems; it is building them with provable geographic boundaries that hold under failure, at the scale and reliability Cloudflare's customers depend on. You will work across the full stack in Go and Rust, from low-level policy enforcement and cryptographic key routing at the edge to customer-facing APIs and dashboards, on top of Cloudflare's existing infrastructure: the edge fleet, globally distributed key-value storage, Workers and Durable Objects, PostgreSQL, Kubernetes, and regional ClickHouse. Features ship end-to-end: you will own the design, implementation, rollout, and production operation of the systems you build. This is a good fit if you are drawn to problems where compliance correctness is a hard constraint and not just a quality goal, and where the failure modes you reason about have real consequences for customers operating under regulatory scrutiny. What you'll do At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Responsibilities (Must-Have Skills) 8+ years of professional experience designing, building, and operating production distributed systems at scale. Strong proficiency in at least one system or backend language such as Go, Rust, or C/C++, and a willingness to work in others as the codebase demands. Solid grasp of distributed systems fundamentals, including: Consistency and consensus models (strong, sequential, eventual; Paxos / Raft at a conceptual level). Replication, sharding, and partitioning strategies, and their tradeoffs against availability and latency. Failure modes: partial failure, network partitions, split brain, clock skew, and how these show up in real systems. Idempotency, retries, backpressure, timeouts, circuit breakers, and rate limiting as first-class design concerns. Health checking, failure detection, leader election, and graceful degradation. Observability: metrics, logs, and tracing as design inputs, not afterthoughts. Practical experience with API design (REST or gRPC), relational databases, and asynchronous messaging or event streaming systems, with a clear understanding of transactional and consistency boundaries. Comfortable with AI-assisted development tooling, with the judgment to use it to accelerate work while remaining accountable for correctness, security, and design quality Track record of production ownership: on-call, incident response, post-mortems, and continuous investment in reliability and performance. Strong written and verbal communication skills; ability to write clear design documents and collaborate effectively across time zones. Nice-to-Have Skills Experience building compliance-driven, security-sensitive, or multi-region systems. Familiarity with cryptography basics — envelope encryption, key management, HSMs, or PKI. Exposure to edge, CDN, or L4/L7 proxy platforms, or to large-scale globally distributed storage or key-value systems. Experience contributing to or driving multi-team, multi-quarter engineering programs with cross-functional dependencies across platform, security, and product teams. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Mercer Island, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in many broader domains. As an Engineering Manager, you will gain organizational alignment by building a strong engineering vision and offering creative solutions to organizational design. You’ll also serve as a mentor for a team of engineers, overseeing performance management, growth opportunities, and accountability. VALORANT is Riot's take on a character-based tactical shooter (for more info on VALORANT click here !). As a Manager, Software Engineering (Services) in VALORANT’s Core Services team, you will lead a team of engineers responsible for the core game services that power VALORANT, a global live-service game with millions of daily active Players. You will lead development of new services, drive evergreen improvements to existing services, improve standards and frameworks to improve services development across VALORANT, and improve the tools and pipelines used to load test, ship, and operate those services. You will work closely with technical teams in Tencent to improve services delivery and operations in China, closing divergences in developer experience and platform behavior between Tencent and Riot regions. You will report to the Senior Manager, Software Engineering (Platform Engineering) for the VALORANT Foundations area. Responsibilities: Manage a team of 5-10 Software Engineers across experience levels. Ensure VALORANT Players receive a consistently great services experience in Riot and Tencent regions. Serve as a hands-on engineering leader, comfortable contributing across all phases of the product lifecycle, including implementation. Develop a technical vision for your team, working with production and product partners to ensure consistency with overall product goals. Communicate this vision to your team clearly. Advocate for Players, your team, and internal development customers when deciding what to build and why. Coordinate with other teams across Riot and Tencent working on Services technology. Ensure high technical quality of what your team produces. Establish mechanisms to ensure your engineers have room to invent while maintaining a technical backstop for them. Foster a collaborative, challenging, and satisfying environment for your development team. Find and surface issues, opportunities, and address them head-on. Celebrate wins. Coach and develop your engineering team to grow in their roles, develop technical skills, and improve their effectiveness. Champion and model Riot’s values, setting the tone for your team and peers. Participate in your team’s on-call rotation. Required Qualifications: 5+ years professional experience as a software engineer working in services development roles. 2+ years experience directly leading an engineering team as an Engineering Manager. Professional experience driving technical direction and influencing architecture within a team. Expertise with C#, Java, Golang, or similar language(s). Professional experience with Lean or Agile development processes (Scrum, Kanban, etc). Professional experience working with cloud computing and cloud technologies. Professional experience building large-scale external customer-facing backend systems, game services, or cloud platforms. Desired Qualifications: Fluent in written and spoken Mandarin Chinese and English; comfortable communicating technically in both languages. Professional or academic experience working with C++. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about the experiences of players, this could be the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy. The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do. REPRESENTATIVE PROJECTS - Context Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on. - Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on. - Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically. - Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features. WHAT YOU'LL DO - Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products. - Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context. - Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively. - Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products. - Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge. WHAT YOU HAVE - 6+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering. Staff candidates will typically have 8+ years and a track record of technical leadership across teams. - Experience building and shipping multi-model or multi-provider AI systems in production. - Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters. - A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability. - Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally. - Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real. - A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems. - Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly. COMPENSATION $193,400 - $290,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AK1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy. The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do. REPRESENTATIVE PROJECTS - Context Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on. - Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on. - Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically. - Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features. WHAT YOU’LL DO - Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products. - Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context. - Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively. - Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products. - Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge. WHAT YOU HAVE - 10+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering and a track record of technical leadership across teams. - Experience building and shipping multi-model or multi-provider AI systems in production. - Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters. - A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability. - Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally. - Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real. - A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems. - Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly. COMPENSATION RANGE $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AK1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission.   The Application Infrastructure team enables iOS, Android, Backend, and Web engineers to reliably and quickly deliver new features to members. We own and operate critical shared infrastructure, including Kubernetes and Kafka, and build the tooling and guardrails that allow teams across WHOOP to ship safely at high velocity.   As a Senior Platform Engineer on the AppInfra team, you will play a key role in driving large-scale architecture projects, collaborating with cross-functional teams to design and implement infrastructure that is highly scalable, resilient, and secure. You will build systems that help increase the safety of deployments to Kubernetes while also increasing the velocity of releasing new features. You will be responsible for ensuring optimal performance and stability for the entire software delivery pipeline. You will help set the direction of the AppInfra team to impact engineers across all WHOOP technology stacks.   RESPONSIBILITIES - Design, develop, and operate WHOOP’s Kubernetes clusters running on AWS infrastructure - Drive architectural decisions to improve scalability, resiliency, performance, and security across the build and deployment platform - Build systems and tooling that increase deployment safety and accelerate release velocity to Kubernetes - Advance CI/CD capabilities to support frequent, reliable production deployments - Lead developer productivity improvements through tooling, automation, and platform integrations - Partner with application, security, and data teams to embed secure-by-default infrastructure practices - Participate in incident response, root cause analysis, and postmortems to continuously improve platform reliability - Mentor and provide technical leadership to engineers on the Application Infrastructure team - Help define and execute the long-term roadmap for infrastructure and Kubernetes management at WHOOP QUALIFICATIONS: - 5+ years of experience in DevOps, Platform, Site Reliability, CloudEngineering, or Backend Software Engineering roles - Deep understanding of Kubernetes architecture and core components - Strong knowledge of container networking concepts, including overlay networking, service meshes, and network policies - Experience with multi-cluster Kubernetes environments and inter-cluster communication patterns - Hands-on experience operating cloud infrastructure, preferably in AWS (e.g., IAM, VPC, EC2, S3, RDS, CloudTrail, Organizations) - Hands-on experience with Infrastructure as Code tools (e.g. Terraform) - Experience developing backend or infrastructure-adjacent services using Java, C#, or Python - Proven ability to evaluate system performance, identify bottlenecks, and use data to drive improvements - Experience collaborating with multiple stakeholders and prioritizing work for maximum business impact BONUS QUALIFICATIONS: - Experience operating Kafka or other large-scale distributed systems - Experience with Kubernetes security best practices, including RBAC, secrets management, and pod security standards - Exposure to service reliability practices such as SLOs, SLIs, and error budgets - Prior experience supporting compliance or security-focused infrastructure initiatives ABOUT YOU: - You bring a security-first mindset to everything you build and operate - You enjoy working on infrastructure that enables hundreds of engineers to move faster - You’re comfortable operating in complex, high-scale production environments - You enjoy teaching, mentoring, and raising the technical bar for those around you - You’re curious, adaptable, and excited to learn across a wide range of systems and technologies Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

ОБЗОР ПОЗИЦИИ И ПРОДУКТА Финтех-компания, развивающая некастодиальный криптокошелёк, платежные крипто-карты и инфраструктуру IBAN-счетов, находится в поиске Senior React Native разработчика. Позиция предполагает сквозное владение продуктовыми фичами от проектирования архитектуры до вывода в прод и мониторинга стабильности приложения под реальными средствами пользователей. ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ • Развитие базового функционала кошелька (отправка/получение активов, балансы, история транзакций, внутренний swap/bridge, on-ramp интеграции); • Разработка и поддержка фич крипто-карт и IBAN-модулей (платежные шлюзы, управление подписками, онбординг новых провайдеров инфраструктуры); • Сквозное владение функционалом (end-to-end): от архитектурного планирования до вывода релизов на продакшен и последующего мониторинга; • Плотное кросс-функциональное взаимодействие с командами Product, Design, QA и backend. ТРЕБОВАНИЯ К КАНДИДАТУ • От 5 лет коммерческого опыта в сфере фронтенд-разработки и от 3 лет практического опыта работы с React Native на продакшен-проектах (в доменах fintech или crypto); • Подтвержденный практический опыт работы с ончейн-транзакциями в продуктах, оперирующих реальными средствами пользователей; • Экспертный уровень владения React, React Native (bare workflow + Expo), TypeScript, Jest, Detox; • Уверенные навыки работы с Git и настройки пайплайнов GitHub Actions; • Владение английским языком на уровне Upper-Intermediate и выше, свободный русский язык. ТЕХНОЛОГИЧЕСКИЙ СТЕК ПРОЕКТА • Mobile: React Native (bare), Expo, TypeScript, React Query, Zustand, Redux Toolkit, Reanimated, Skia; • Testing: Jest, Detox; • Web3 / Blockchain: WalletConnect, EVM, Bitcoin-family, Tron, Solana, TON. УСЛОВИЯ И БЕНЕФИТЫ • Полностью удаленный формат работы со стабильной загрузкой на полный день; • Фиксированный конкурентный оклад с выплатами в USDT ($4000 – $5000); • Работа в интернациональной распределенной команде без бюрократии; • Возможность напрямую влиять на развитие технологичного Web3-продукта.

Задачи: — Комплексно тестировать высоконагруженные сервисы Торгового эквайринга и Личного кабинета клиента; — Проводить качественное ручное и автоматизированное тестирование web- и mobile-приложений (как frontend, так и backend); — Разрабатывать с нуля и поддерживать стабильные, масштабируемые автотесты на Java; — Детально тестировать REST API и Thrift API в условиях микросервисной архитектуры; — Анализировать логи (Elastic/Kibana), оперативно локализовать баги и находить истинные причины ошибок; — Плотно взаимодействовать с разработчиками, аналитиками и смежными командами для улучшения продукта. Требования: — Коммерческий опыт работы в роли QA Engineer от 3-х лет; — Обязателен уверенный опыт работы в домене fintech / банкинг; — Сбалансированный опыт ручного и автоматизированного тестирования; — Сильный бэкграунд во frontend- и backend-тестировании; — Практические навыки автоматизации на Java, знание фреймворков (JUnit, RestAssured, Selenide, Cucumber) и опыт работы с брокерами (Kafka); — Понимание микросервисной архитектуры и умение работать с базами данных (MongoDB). Условия: — 100% удаленный формат работы со стабильным графиком из любой точки РФ; — Официальное трудоустройство по ТК РФ с первого дня; — Конкурентная и прозрачная заработная плата до 386 800 рублей gross; — Сильная инженерная культура, современные инструменты автоматизации и работа над масштабными востребованными сервисами. Важное: — Рассматриваются кандидаты строго с подтвержденным опытом автоматизации на Java, ручного и mobile-тестирования одновременно!

Location: Warsaw, Poland Altoros - a leading IT services provider is looking for a Unity Support Engineer. !Part-time position. Responsibilities: Regularly review Unity SDK release notes on a monthly basis and: Identify and flag breaking changes that may impact integration with Django Assess the impact of each release on the existing API contract Perform reactive compatibility patching on the Unity client side when: SDK updates introduce incompatibilities Integration points with Django backend start failing Actively participate in incident diagnostics for issues such as: Frozen screens or stale content Missing or outdated content updates Unity client not receiving configuration from Django Clarify root causes Propose and implement fixes Collaborate with the backend team and external stakeholders to: document known issues and workarounds in runbooks Requirements Proven experience working with Unity SDK , including understanding of: Release cycles and versioning strategies Unity Package Manager and dependency management Best practices for upgrading packages without breaking the project Strong ability to read, analyze, and modify C# code within existing Unity projects: Not expected to build full applications from scratch Focus on diagnosis, debugging, and targeted patching Solid understanding of how a Unity standalone application consumes REST APIs : HTTP client usage in Unity JSON serialization/deserialization Error handling and retry strategies Experience configuring and building Unity standalone targets for: Windows and/or Linux Ability to reproduce and diagnose runtime issues locally in Unity: Using logs, breakpoints, and diagnostic tools Isolating issues related to networking, configuration, or SDK behavior Practical knowledge of Unity plugins and Package Manager : Updating dependencies safely Resolving conflicts and version mismatches English level B2+ : Comfortable reading technical documentation and runbooks Able to communicate clearly with clients and stakeholders Nice to have requirements: Experience using Unity in the context of: digital signage, Kiosk systems, Interactive displays (not traditional game development) Basic understanding of Django REST API from the client perspective: how endpoints are structured, common patterns for configuration and content delivery Familiarity with GCP Cloud Run at a conceptual level: understanding what it is and how to interact with it Experience working with jump PCs / RDP for remote diagnostics: navigating remote environments, collecting logs and reproducing issues on remote machines Engagement: Part-time: up to 10 hours/month. Duration: 6–12 months, starting August. Working window: Mon–Fri, 15:00–00:00 Warsaw time. You are not expected to be present at the monitor although the shift, although be able to handle a task within 4h-1 business day Fully paid onboarding 20h August-October 2026 Location: Poland or westward. Benefits We are hoping for fruitful collaboration. Join Our Team!

Location: Mapbox Germany; Finland; Mapbox UK Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO We build the mission-critical engine that powers real-time navigation for global customers like BMW, Porsche, DoorDash, and Instacart. We process petabytes of geospatial data through a sophisticated blend of high-scale backend services, data pipelines, and AI Agentic workflows to detect, validate, and deliver live road updates - from traffic jams to road closures. The intelligent AI agents we build enhance our core algorithms, ensuring Mapbox maps are as dynamic as the roads themselves and that millions of drivers reach their destinations in the most optimal way possible.   Engineers on this team develop and deliver of every stage of the event detection lifecycle: 1. Intelligent Ingestion and Detection: Building automated agents to gather data and discover closures using proprietary Mapbox signals. 2. Validation and Conflation: Leveraging algorithms to invalidate stale data and merge duplicate reports into a single, high-fidelity source of truth. 3. Strategic Delivery: Designing the systems that expose this data across the entire Mapbox ecosystem. 4. AI Collaboration: Partnering with the MapGPT team https://www.mapbox.com/mapgpt to evolve our Feedback Agent https://www.mapbox.com/feedback-agent, allowing us to refine the map using real-time customer insights.   As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO As an Engineering Manager supporting our Traffic Events Detection organization, you will lead innovative and high-performing multi-disciplinary teams who are building the Events Detection product using a blend of high-scale backend services, data pipelines, and AI Agentic workflows to detect, validate, and deliver live road updates. You will be responsible for driving your team’s day-to-day work, fostering the growth and development of the people on the team, and aligning the team’s work with the company's priorities. Thousands of customers rely on Mapbox services to seamlessly handle billions of requests every day and scale in real-time to global events. You will drive solutions that remain robust, reliable, and innovative in a fast-evolving technological landscape. - Deliver complex, high-impact projects while providing technical expertise and mentorship to your team. - Operate your team’s day-to-day and be hands-on in project management and sprint planning. - Manage operational best practices for on-call and related responsibilities. - Empathize with internal and external customers delivering features that address their needs. - Manage and develop the team through hiring, retaining, mentoring, and continually building the team’s capabilities. - Drive company, product, and team objectives, carrying your team and relevant stakeholders along in the decision-making. - Work with Product and Engineering teams to develop the long-term business strategy driving the team’s work. - Establish, track, and iterate on operational metrics to ensure the team is delivering products that meet or exceed customer expectations. - Determine best engineering practices and promote them within the team and across Mapbox. - Foster a culture of collaboration, innovation, diversity, and data-driven decisions on the team. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Required Education/Certification: Bachelor’s degree in Computer Science, or equivalent practical hands-on engineering experience. - Technical Skills & Tools (Must-Haves): - 5+ years of people management experience: You have managed remote engineering team(s) leading to product execution and business outcome while growing and developing a team of engineering talent. - Hire & Develop: You understand the importance of hiring the best diverse talent and creating a culture where your team members can learn & grow with the organization. - Technical Expertise: You have deep knowledge and experience of building scalable web services and data pipelines in AWS. - Operational Excellence: You drive a culture of quality and continuous improvement within your team and personally embody a passion for monitoring, metrics, triage, resolving customer issues, and iterative improvement. You help foster the end to end development of clearly designed interfaces, documentation, thorough test coverage, and effective code reviews. - Ownership & Execution: You own the vision, lead the strategy, and guide the team to execute towards building the future of your product. - Customer Focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Strong written and verbal communication: You can talk and write about complex ideas concisely to a wide audience. - Core Competencies & Scope: - Experience leading cross-functional teams of 5+ people EMPLOYMENT REQUIREMENTS - Employment Type: Full-time - Weekly Hours: Full-time - Location/Hybrid Policy: Remote WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Lansing, MI About Snap! Mobile, Inc: Founded in 2014, Snap! Mobile is the creator of Snap! Raise, the nation’s largest and top-performing digital fundraising platform for high school and youth athletics and activities. Since its founding, Snap! Raise has helped over 150,000 schools, groups, and teams raise more than $1 billion . Snap! Mobile supports schools, teams, and organizations with Snap! Mobile One, an all-in-one app designed to simplify operations and enhance community engagement. Snap! Mobile One combines the power of Snap! Raise fundraising, fan and community engagement, event scheduling, registration, website management, messaging services, money management, and spirit wear to deliver everything administrators need to succeed in one easy-to-use app. Who we're looking for A well-connected, relationship-driven professional — coaches, teachers, athletic directors, or community leaders — who thrives on opening doors and closing deals. If you love the front end of sales and have a strong local network, this role was built for you. Got a day job, a coaching gig, or a packed schedule? No problem. This is designed to work around your life. This is not a remote position. Applicants must currently reside within the assigned territory to be considered. The opportunity You'll be boots on the ground, building partnerships with schools, sports teams, programs, and community organizations in your area — on your schedule. Your focus is to prospect, connect, and close — then hand off to an Account Manager who handles everything after. No backend admin, no long-term account management. Just pure relationship-driven sales with people you likely already know. Perfect as a side hustle, a part-time gig, or a way to monetize the network you've already built. What you'll do Tap into your existing local network toidentifyand engage potential partners Conduct in-person meetings, presentations, and demos — when it works for you Close new partnerships and hand off seamlessly to your Account Manager What you bring Current residency within the assigned territory (required— non-local applicants will not be considered) Strong local community ties and existing relationships Self-starter mentality with solid communication skills Comfort in a 100% commission, performance-driven environment Reliable transportation and a valid driver's license Ability to pass a background check, including driving record What you'll earn Uncapped commission — no ceiling on your earnings, no matter how many hours you put in The details Flexible contract (1099) — make your own schedule; designed to work as a side hustle or part-time gig One-quarterinitialcommitment with opportunity to extend No base salary, benefits, or paid leave CA Residents click here for privacy policy We use E-verify to onboard new hires. Please click here to learn more.

Location: United States (Remote) Workplace: Remote ROLE SUMMARY Temporal is looking for a Senior Software Engineer to join the Open Source Server team. This team builds and maintains the core Temporal server. Its scope is broad, including Matching, Applications, Foundations, task processing, quotas and throttling, visibility, developer-facing primitives such as standalone activities, schedules, and streaming, and workflow experience improvements such as Continue-As-New, pause, and reset. We do not expect one person to cover all of these areas. We're looking for an engineer who is excited to learn the system, contribute across the codebase, and help improve the reliability, performance, operability, and developer experience of Temporal. This is a hands-on engineering role where you'll collaborate with experienced engineers to design, build, and operate the core of Temporal's distributed systems platform. WHAT YOU'LL DO - Design, implement, and ship features for the Temporal server. - Solve distributed systems challenges across areas such as task matching, scheduling, workflow execution, visibility, quotas, throttling, persistence, developer primitives, and workflow lifecycle features. - Make thoughtful engineering tradeoffs across developer experience, performance, and operability requirements. - Partner with engineers, product managers, cloud teams, and customer-facing teams to build scalable technical solutions. - Improve the reliability and operability of the server through testing, observability, dashboards, alerts, runbooks, and documentation. - Participate in design discussions and code reviews to help maintain a high-quality codebase. - Contribute to improving the developer experience for both open source users and enterprise customers. - Mentor junior engineers and share knowledge with teammates. WHAT YOU'LL BRING - 5+ years of experience building and operating production distributed systems. - Strong fundamentals in distributed systems, concurrency, fault tolerance, scheduling, and performance. - Solid computer science fundamentals in distributed systems concepts including multi-threading and concurrency. - Experience writing concurrent code in production with languages like Go or Java or other applicable languages with skill level as "high end of Intermediate" and/or "Advanced" or "Expert" levels. - Experience building high-scale or performance-sensitive backend services, such as request-serving systems, task queues, scheduling systems, streaming or replication pipelines, rate limiting, sharding, load balancing, workflow engines, or orchestration systems. - Strong debugging, troubleshooting, and operational skills with a focus on reliability and observability. - Experience designing and building backend APIs or platform services. - Ability to work collaboratively across engineering teams and contribute to technical discussions. - Experience with open source software or communities is a plus. - Experience with AWS, Azure, or GCP is a plus. - Experience with technologies such as Elasticsearch, OpenSearch, ClickHouse, Cassandra, PostgreSQL, or MySQL is a plus. - Experience with Kubernetes, CRDs, KEDA, or Argo is a plus. WHAT MAKES YOU A GOOD FIT - You enjoy solving challenging distributed systems problems while keeping the developer experience in mind. - You like learning large codebases and making meaningful technical contributions over time. - You take ownership of your work and collaborate well with teammates. - You enjoy balancing technical depth with practical engineering decisions. - You don't need prior Temporal experience, but you're excited to work on the core of a distributed system used by a large open source community and enterprise customers. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Boston, MA Workplace: OnSite WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our Machine Learning Core Algorithms team is responsible for developing novel algorithms and features that expand our health and fitness capabilities with wearable sensor data. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. This role is located on our Core Algorithms team: performance-related insights for sleep, recovery, and exercise. As a Senior Machine Learning Engineer on our Core Algorithms team, you will design, build, and productionize ML systems that deliver meaningful, personalized metrics to millions of members. You will own the ML systems you build in collaboration with applied machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML systems. Responsibilities: - Create, improve, and maintain production services that provide analysis for core features in collaboration with applied ML scientists and MLOps engineers. - Improve ML data pipelines, tooling, and validation systems that support robust model performance. - Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency. - Collaborate with researchers and Product teams to align model development with physiological insights and member impact. - Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations). - Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation). - Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review. Qualifications: - Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). - 4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems. - Experience working with time series data (wearable, physiological, or high-frequency sensor data). - Strong coding skills in Python with a track record of writing clean, production-quality code. - Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch). - Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP). - Preferred: 2+ years experience applying advanced mathematical and statistical techniques. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.