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Location: Remote - US Company Description: Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. What You'll Do: You will work on our storage platform which supports the B2 Object Storage and Computer Backup products, responsible for reliably storing the customer data. You will help improve durability, increase throughput, and drive architectural changes to support the long term requirements of our service. Responsibilities: Lead technical design discussions and produce clear design documents Drive the implementation on large features Shape coding methodologies and best practices The Right Fit: 7+ years of OOP (Java, Rust, C++, C#, etc)  in an enterprise environment, with a heavy focus on backend development Experience building large scale software systems running on thousands of servers Professional experience incorporating AI-assisted development tools (e.g., Gemini, Cursor, Claude Code) Comfortable with all aspects of the software development lifecycle, including design, implementation, testing, and rollout Exhibits curiosity and seeks to understand before offering solutions Communicates proactively in a remote environment by keeping the team informed, surfacing blockers early, and moving work forward Applies analytical thinking to ambiguous problems Bonus points for: Proficiency in Java or Rust Experience with developing host-managed SMR solutions Experience with discovering and implementing performance improvements, including CPU and IO Familiarity with hard drive performance and optimization Experience building and interpreting models, dashboards, or reports Understanding of Linux internals and file systems Required for all Backblaze Employees: Good attitude and willingness to do whatever it takes to get the job done Strong desire to work for a small, fast-paced company Desire to learn and adapt to rapidly changing technologies and work environment Rigorous adherence to best practices Relentless attention to detail Excellent interpersonal skills and good oral/written communication Excellent troubleshooting and problem solving skills Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work plus a generous stipend to personalize your  workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: Non-Bay: $175,000 - $200,000 Bay Area: $200,000 - $225,000 At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. What You'll Do: You will work on our storage platform which supports the B2 Object Storage and Computer Backup products, responsible for reliably storing the customer data. You will develop host-managed SMR support for the storage platform, optimizing for throughput and costs. Responsibilities: Lead technical design discussions and produce clear design documents Drive the implementation on large features Shape coding methodologies and best practices The Right Fit: 10+ years of OOP (Java, Rust, C++, C#, etc)  in an enterprise environment, with a heavy focus on backend development Experience building host-managed SMR support for storage systems Experience benchmarking IO performance and resolving bottlenecks Experience building large scale software systems running on thousands of servers Professional experience incorporating AI-assisted development tools (e.g., Gemini, Cursor, Claude Code) Comfortable with all aspects of the software development lifecycle, including design, implementation, testing, and rollout Exhibits curiosity and seeks to understand before offering solutions Communicates proactively in a remote environment by keeping the team informed, surfacing blockers early, and moving work forward Applies analytical thinking to ambiguous problems Bonus points for: Experience with discovering and implementing performance improvements, including CPU and IO Familiarity with hard drive performance and optimization Experience building and interpreting models, dashboards, or reports Understanding of Linux internals and file systems Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work plus a generous stipend to personalize your  workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: Non-Bay: $205,000 - $230,000 Bay Area: $245,000 - $265,000 At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. As a Staff Software Engineer , you'll contribute to the technical direction for the team. You'll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team. You'll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship. This is a full-time, fully remote position. We do expect the successful candidate to come to the Oakland, CA office from time to time. Technologies You'll Use Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship Drive technical initiatives across the team's responsibility areas — discovery API, catalog, lineage, and run history Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality Coach and mentor engineers, demonstrably improving the quality of code across the team Write technical specs, document common components, and keep the team accountable for necessary project documentation Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own Participate periodically in the on-call rotation Skills We're Looking For 8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion Deep expertise designing and owning subsystems in distributed, cloud-based systems Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience architecting metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $196,033 — $245,041.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: The Product Infrastructure team works on creating abstractions and data models that solve enduring problems across the stack. We solve problems that span multiple product surfaces and typically stretch across both front-end and backend and unblock new product avenues that were previously challenging to create. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Shape and build the core frameworks that enable reading and writing data in Notion, integrating feedback from internal customers along the way, using whatever tools are required for the job, such as AWS, Postgres, NodeJS, TypeScript, React on the frontend. - Design new systems and abstractions that improve developer productivity, reliability, and performance by handling entire classes of problems up-front for product engineers. - Solve hard technical challenges such as designing abstractions for efficient traversal of the user content graph, building a system to sync user content for offline use, or scaling our permission model to serve large customers with complex content. SKILLS YOU'LL NEED TO BRING: - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution. - Pragmatic and business-oriented: You care about business impact and prioritize projects accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line. - Strive for simplicity: You think critically about the implications of what you're building, and aim for the most simple and well-crafted design. You understand the consequence of complexity, and are motivated to eliminate them. - Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go. - Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. - Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. NICE TO HAVES: - You have leveraged the features of typed languages (e.g. TypeScript, Flow) to drive code migrations, or have implemented your own data modeling paradigms (e.g. writing your own ORM, sync engine, or query language). - You have seen how fundamental abstractions scale within a large codebase, and are curious about how different organizations solve similar problems (e.g. TAO by Meta, Zanzibar by Google). - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. - You have interests outside of technology, such as in art, history, or social sciences. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $150,000 - $200,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Обязанности: • ручное функциональное, регрессионное и интеграционное тестирование web, backend-сервисов и AI-агентов • разработка и поддержка тестовой модели (тест-кейсы по новому функционалу и регрессионной модели, чек-листы) • написание и поддержка Api и Web автотестов на Python (в т.ч. smoke, интеграционные, e2e) • анализ allure отчетов прогона автотестов в CI, локализация и заведение дефектов • взаимодействие с командой разработки для уточнения логики работы сервисов Требования: • коммерческий стаж в тестировании — от 3 лет • из них написание автотестов — от 2 года • тестирование backend-сервисов через REST API, работа со Swagger/OpenAPI • понимание HTTP: методы, коды ответов, структура запроса/ответа • локализация дефектов: frontend vs backend vs интеграция • уверенный PostgreSQL: SELECT, JOIN • анализ данных в БД для проверки бизнес-логики и расследования дефектов • понимание синхронного (REST/gRPC) и асинхронного (Kafka/RabbitMQ) взаимодействия сервисов • опыт интеграционного тестирования нескольких сервисов • умение анализировать цепочки прохождения данных между системами • принципы: продюсеры, консьюмеры, топики, партиции • тестирование событийных интеграций, локализация проблем в очередях • поиск и анализ логов в Kibana (ELK) / Grafana • первичное расследование дефекта, сбор диагностики для разработчика • написание и актуализация тест-кейсов (разумный уровень детализации) • ведение тестовой модели в актуальном состоянии • твёрдое знание: типы данных, условия, циклы, функции, работа с файлами, ООП, регулярные выражения • понимание поддерживаемого кода (DRY, читаемость, модульность) • стек: pytest + requests + Selenium/Playwright + SQLAlchemy + pydantic (или jsonschema) • Git, Bitbucket/GitLab, Code Review • Allure-отчёты • Jenkins • DevTools, Postman / Insomnia, PgAdmin / DBeaver • Jira, Confluence • TM4J / TestRail / Zephyr (одна из систем) Условия: • удобный офис AgileHome около станции метро Кутузовская с комфортными условиями (столовые, кафе, бесплатные кухня, спортзал, парковка, зоны отдыха) • конкурентоспособная зарплата (оклад плюс бонусы) • возможность использовать современные технологии • полный соцпакет (включая добровольное медицинское страхование) • обширный выбор образовательных программ и сертификаций за счёт компании • программу льготного кредитования в Сбере • скидки у партнёров компании • шанс поучаствовать в масштабных инновационных проектах.

Location: Beijing, China Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... We’re looking for a senior iOS Software Engineer to join our Onboarding team. In this role, you’ll build and ship features that drive user growth and deliver high-quality learning experiences to millions of learners worldwide. You’ll work closely with product managers and designers to create engaging experiences for new users. This is an opportunity to contribute to a fast-moving, high-impact team focused on improving the new user experience. You’ll gain experience working across the stack (iOS and backend), running experiments, and collaborating cross-functionally to improve key metrics like daily active users (DAU) and new users day 7 retention (NUD7). 🧠  You will... Collaborate with product managers and designers to drive user growth Develop, release, and maintain native iOS applications, primarily in Swift Contribute to code reviews and collaborate across teams to ensure quality and scalability ✅  You have... A Bachelor’s degree in Computer Science or a related technical field A solid foundation in computer science with strong competencies in data structures, algorithms, and software design 5–10 years of experience programming in Swift Dedication to our mission of universally available education Relocation to Beijing, China. This position is based in Beijing. ⭐  Exceptional candidates will have... A Duolingo streak Proficient in both spoken and written English. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: ¥804,949 — ¥1,088,971 CNY Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Chișinău, Moldova Are you interested in building an exciting IT career at Dev.Pro? Join our exclusive screening process to gain valuable career insights and access personalized feedback on your skill set. As a company of professionals, Dev.Pro offers challenging and interesting projects with world-leading clients, a modern technology stack, and career opportunities for both technical and non-technical specialists. 🟩 What you’ll get by applying: Personalized career growth plan tailored to your aspirations Expert feedback to elevate your skills for lasting success Priority consideration by Dev.Pro for suitable job openings within the company Opportunity to work with top global corporations and participate in industry-shaping projects Give us a chance to get to know you better so that when the right position becomes available, you’ll be the first one we reach out to! ✅ Is that you? 5+ years of experience building modern full-stack applications Strong experience with Angular, TypeScript, and JavaScript Hands-on experience with Node.js and NestJS for RESTful APIs and backend services Experience with relational databases and SQL Experience using Playwright for automated testing Experience testing and validating your own code before delivery Strong understanding of engineering best practices (Git, code reviews, debugging) Ability to work independently while collaborating effectively in an Agile team Proactive mindset with a strong sense of ownership and accountability Clear communication of blockers, status updates, and solution proposals Upper-Intermediate+ English level Desirable: Familiarity with CI/CD pipelines and DevOps practices Experience with cloud platforms (Azure, AWS, or GCP) Familiarity with AI-assisted development tools (Copilot, Claude) Experience with enterprise applications (CRM, ERP, retail, or fleet management systems) Get started now: 1. Send us your CV in English. 2. Schedule a 15-30 minute call with Dev.Pro recruiters. 3. Participate in a 30-minute experience interview focused on testing your soft skills. 4. Get a 1-hour online evaluation of your technical skills by our technical experts. In under 2 hours, you'll know where you stand in your career and be ready for action when Dev.Pro presents you with an exciting job offer! 🎾 About Dev.Pro Dev.Pro is a US-based outsource company with an ambitious and creative mindset that has been delivering superior software products since 2011. Known for its strong human focus, Dev.Pro promotes a work environment that is fair, inclusive, open-minded, and friendly toward people of every race, religion, gender, cultural background, marital/parental status, etc. By joining Dev.Pro, you'll feel what it's like to grow with professionals who support your journey. Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Задачи: — главный агент-оркестратор; — специализированные агенты; — реестр инструментов; — управление контекстом и состоянием; — межагентное взаимодействие; — интеграция с корпоративными системами; — безопасность; — наблюдаемость; — тестирование качества; — отказоустойчивость. Требования: — От 3 лет коммерческой backend-разработки. — Опыт технического проектирования распределённых систем. — Практический опыт работы с LLM и агентными системами. — Желателен хотя бы один агентный или LLM-продукт, доведённый до пилотной либо промышленной эксплуатации. — Опыт технического лидерства или владения архитектурой крупного модуля. — Умение работать в условиях неполных требований и постепенно формировать целевую архитектуру. — Способность общаться как с разработчиками, так и с владельцами бизнес-процессов. Условия: — комфортный современный офис: Москва, ул. Вавилова 19 — офисный формат работы на период испытательного срока, после ИС - возможен гибрид — ежегодный пересмотр зарплаты, структура дохода: оклад + годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте (для Junior позиций) — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

Location: Canada What The Role Is As a Senior Engineer at Babylist, you take on hard problems and own them end-to-end. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families. You'll start on a team, but you won't be boxed into it. The roadmap is open, your scope grows as you do and you have a say in what you take on next. Senior here means owning whole problems; Staff is the next step up, setting direction across a domain. What You'll Own A Senior Engineer here owns problems, not just features. You're handed an outcome, you decide what to build, ship it and own whether it worked. You act on incomplete information and change course fast when the evidence says you were wrong. What you do depends on what the team needs: Frame the problem with your PM as a peer, run the experiment and bring customer evidence into what gets built. Harden a critical path, kill a class of incidents or design the abstraction your team builds on. Be the reviewer people want on the risky changes. Manage up with crisp choices: raise the risks early and protect the right tradeoffs. Share what you're learning about AI openly, so the whole team gets sharper. A few problems people at this level are working on right now: Deciding what the registry recommends to each family, from the ranking to the model behind it, and proving in a live experiment that it actually helps. Building the evals system that catches our AI support agent making things up before a customer does. Making a child's info one source of truth instead of five disconnected flows, so parents set it up once and new products like Early Investor build on it. Who You Are You've been shipping production systems for years, and you've got the judgment to show for it. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. The strongest Senior engineers here are generalists, and usually the most prolific builders on their team. You go wherever the problem leads: a backend service one week, a stubborn frontend bug the next, the data pipeline after that. When it's hard you dig in, and you learn unfamiliar parts of the stack fast. Range is the Senior signature. Compensation We post real numbers. For a Canada-based Senior Engineer, the starting base salary range is $255,900 to $318,600 CAD, plus a target annual bonus of 15 percent of base. That's total target cash of roughly $294,285 to $366,390 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks, start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A RRSP match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address.

Location: Ontario, Canada; Toronto, Ontario, Canada Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com We are seeking a Senior Full Stack Engineer to help build and scale Mattermost's core web platform for teams operating in defense and critical infrastructure sectors. You will contribute across our Go backend and React/TypeScript web frontend, building features that hold up under strict security, compliance, and reliability requirements. Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you. What You Will Do Architect and build full-stack features optimized for scalability and performance across Go, React, TypeScript, PostgreSQL, and Redis Leverage AI coding agents such as Claude Code and Cursor as a core part of your daily workflow while retaining full accountability for correctness, security, and design decisions Develop internal tooling and testing infrastructure to speed up the team's delivery, including agentic workflows and skills that make AI tooling more effective for the broader team Own testing strategy across frontend and backend code you ship Design and consume REST and WebSocket APIs with solid networking fundamentals Maintain the security and compliance standards required by our government and enterprise clients Contribute to Mattermost's open-source codebase What We Are Looking For Required: Strong full-stack development experience in Go and React, or a comparable stack Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals Relational database experience including PostgreSQL, schema design, and query optimization Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself Bias toward shipping and owning complex software end-to-end without close supervision Nice to Have: Experience with distributed systems or high-availability service architecture Familiarity with enterprise or regulated-environment security requirements Background in defense, intelligence, or critical infrastructure products Open-source contributions Experience working on distributed or remote-first teams Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents How Success Is Measured First 90 Days: Shipping full-stack features on the core platform using an AI-forward agentic development workflow and owning testing strategy across the code you ship. Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration Compensation Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions. Target Salary Range: CAD $162,591–$195,000 Canada Eligibility & Compliance Candidates must be legally authorized to work in Canada without current or future sponsorship. This role may require obtaining and maintaining a government security clearance or equivalent designation (such as Reliability Status or Secret clearance under Canada's Controlled Goods Program), depending on customer engagement. Candidates must meet eligibility requirements to be considered. Given Mattermost's work with U.S. defense and government customers, some positions may also require compliance with U.S. export control laws, including EAR and ITAR, which can apply to non-U.S. based employees working on covered technical data. For more information, visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls. Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Location: United States Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com We are seeking a Senior Full Stack Engineer to help build and scale Mattermost's core web platform for teams operating in defense and critical infrastructure sectors. You will contribute across our Go backend and React/TypeScript web frontend, building features that hold up under strict security, compliance, and reliability requirements. Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you. What You Will Do Architect and build full-stack features optimized for scalability and performance across Go, React, TypeScript, PostgreSQL, and Redis Leverage AI coding agents such as Claude Code and Cursor as a core part of your daily workflow while retaining full accountability for correctness, security, and design decisions Develop internal tooling and testing infrastructure to speed up the team's delivery, including agentic workflows and skills that make AI tooling more effective for the broader team Own testing strategy across frontend and backend code you ship Design and consume REST and WebSocket APIs with solid networking fundamentals Maintain the security and compliance standards required by our government and enterprise clients Contribute to Mattermost's open-source codebase What We Are Looking For Required: Strong full-stack development experience in Go and React, or a comparable stack Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals Relational database experience including PostgreSQL, schema design, and query optimization Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself Bias toward shipping and owning complex software end-to-end without close supervision Nice to Have: Experience with distributed systems or high-availability service architecture Familiarity with enterprise or regulated-environment security requirements Background in defense, intelligence, or critical infrastructure products Open-source contributions Experience working on distributed or remote-first teams Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents How Success Is Measured First 90 Days: Shipping full-stack features on the core platform using an AI-forward agentic development workflow and owning testing strategy across the code you ship. Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration Target Salary Range: $142,723- $172,723 Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan. U.S. Eligibility & Compliance This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit Security Clearances — United States Department of State Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls . Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Задачи: — разработка backend-сервисы и API на Python — создание AI-агентов и AI-пайплайны с использованием LangChain, LangGraph или аналогичных инструментов — работа с LLM: промптами, structured output, tool calling, контекстом и памятью — участие в создании RAG-систем: загрузке документов, поиске информации и формировании ответов на основе источников — интеграция решения с базами данных, внутренними API и внешними сервисами — работа с очередями задач, кэшированием, логированием и мониторингом — участие в проектировании веб-приложений: продумывать взаимодействие backend, frontend, баз данных, фоновых задач и внешних сервисов — интеграция backend с пользовательскими интерфейсами и при необходимости внесение базовых изменений во frontend — написание тестов, исправление ошибок и улучшение качества существующего кода — участие в обсуждении архитектурных и технических решений — быстрое создание прототипов, проверка гипотез и доработка решений по обратной связи пользователей. Требования: — коммерческий опыт разработки на python (fastapi, django или flask) и уверенное проектирование rest api — sql и реляционные бд (postgresql), git, docker; понимание клиент-серверной архитектуры и http-стека (авторизация, аутентификация, обработка ошибок) — базовая архитектура приложений: модульность, разделение ответственности, слои приложения, поддерживаемость кода и взаимодействие сервисов — синхронная и асинхронная обработка, фоновые задачи, очереди сообщений и брокеры (например, celery с rabbitmq/kafka) — практический опыт в ai/llm: разработка агентов и чат-ботов, использование langchain/langgraph, управление контекстом llm, оценка качества и защита данных — rag-системы, векторные базы данных, работа с полуструктурированными данными (pdf, таблицы) через pandas/numpy — кэширование, логирование и мониторинг (redis, elk/prometheus); базовое знакомство с ci/cd и развёртыванием — websocket и потоковая передача ответов от llm; базовое понимание frontend (html/css/js, react/vue/next.js) для интеграции интерфейса с api — использование современных ai-инструментов для ускорения написания кода, тестирования и подготовки документации Условия: — офисный формат работы: г. Москва — ежегодный пересмотр зарплаты и годовая премия — более 400 образовательных программ в СберУниверситете для развития — спортзал и зоны отдыха — расширенный ДМС, льготное страхование для семьи — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Core Responsibilities Chaos Engineering Platform Architecture & Development (50%) Design and build an enterprise-grade chaos engineering platform supporting multi-cluster (K8s + EC2 hybrid), multi-region, and multi-environment (testnet/mainnet) deployments Core capability development: Fault Injection Engine: Pod-level / Node-level / AZ-level fault simulation, network latency / packet loss / partition, dependency timeout / error injection Production Safety Assurance: Blast radius control, one-click Kill Switch, automatic rollback, real-time impact monitoring Traffic Isolation: Experiment traffic tagging and isolation to ensure fault injection does not impact real users Fault Isolation: Precise impact scoping at service / cluster / AZ granularity Design experiment orchestration capabilities supporting complex fault scenario composition (e.g., simultaneous network latency + downstream timeout + cache invalidation) Deep integration with existing monitoring, alerting, and SLO systems to achieve an automated closed loop: inject fault → observe impact → determine pass/fail Production Resilience Validation Framework (30%) Define safety standards and approval workflows for mainnet fault injection Design and drive routine chaos experiments: Daily patrol-level experiments: Low-risk experiments executed automatically on a daily/weekly basis Periodic validation experiments: Monthly/quarterly resilience verification of critical paths Large-scale drills: Cross-AZ / cross-region disaster recovery failover validation Establish a resilience scoring system to quantify system health based on experiment results Deliver improvement recommendations and drive business teams to remediate identified weaknesses 3. Technology Selection & Team Enablement (20%) Evaluate and select the technology foundation (Chaos Mesh / Litmus / custom components — hybrid strategy) Develop chaos engineering best practices and playbooks to enable SRE teams and application developers Mentor and grow the team (2–3 engineers) in chaos engineering capabilities Stay current with industry developments and introduce cutting-edge practices (e.g., AI-driven fault scenario discovery) ────── Requirements Must-Have: 8+ years of backend / infrastructure engineering experience, with 3+ years dedicated to chaos engineering or stability engineering Hands-on experience with large-scale fault injection in production environments (not just test environments), with deep understanding of production safety constraints Expert-level proficiency in Kubernetes fault injection (Chaos Mesh / Litmus / custom solutions), familiar with CRD / Operator development Proficient in at least one backend language (Go preferred), with platform-level system architecture design capability Deep understanding of distributed system failure modes (network partitions, split-brain, cascading failures, data inconsistency, etc.) Familiarity with observability tech stack (Prometheus / Grafana / Thanos / OpenTelemetry) Excellent technical documentation and solution design skills Nice-to-Have: Experience in financial / trading system stability (understanding of transaction consistency and fund safety constraints) Experience building SLO / Error Budget frameworks Experience building automated fault recovery (self-healing) systems Familiarity with AWS infrastructure (EC2 / EKS / Multi-AZ / Multi-Region) Knowledge of Netflix Chaos Engineering / AWS Fault Injection Simulator / Gremlin Open-source community contributions (Chaos Mesh / Litmus or similar projects) Soft Skills: Ability to balance "safety" and "validation depth" — not afraid of production injection, while maintaining strict risk control Strong cross-team collaboration and influence — chaos engineering requires buy-in from business teams; this role demands persuasion skills Self-driven, capable of independently planning and executing in ambiguous situations Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Hong Kong SAR About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Core Responsibilities Chaos Engineering Platform Architecture & Development (50%) Design and build an enterprise-grade chaos engineering platform supporting multi-cluster (K8s + EC2 hybrid), multi-region, and multi-environment (testnet/mainnet) deployments Core capability development: Fault Injection Engine: Pod-level / Node-level / AZ-level fault simulation, network latency / packet loss / partition, dependency timeout / error injection Production Safety Assurance: Blast radius control, one-click Kill Switch, automatic rollback, real-time impact monitoring Traffic Isolation: Experiment traffic tagging and isolation to ensure fault injection does not impact real users Fault Isolation: Precise impact scoping at service / cluster / AZ granularity Design experiment orchestration capabilities supporting complex fault scenario composition (e.g., simultaneous network latency + downstream timeout + cache invalidation) Deep integration with existing monitoring, alerting, and SLO systems to achieve an automated closed loop: inject fault → observe impact → determine pass/fail Production Resilience Validation Framework (30%) Define safety standards and approval workflows for mainnet fault injection Design and drive routine chaos experiments: Daily patrol-level experiments: Low-risk experiments executed automatically on a daily/weekly basis Periodic validation experiments: Monthly/quarterly resilience verification of critical paths Large-scale drills: Cross-AZ / cross-region disaster recovery failover validation Establish a resilience scoring system to quantify system health based on experiment results Deliver improvement recommendations and drive business teams to remediate identified weaknesses 3. Technology Selection & Team Enablement (20%) Evaluate and select the technology foundation (Chaos Mesh / Litmus / custom components — hybrid strategy) Develop chaos engineering best practices and playbooks to enable SRE teams and application developers Mentor and grow the team (2–3 engineers) in chaos engineering capabilities Stay current with industry developments and introduce cutting-edge practices (e.g., AI-driven fault scenario discovery) ────── Requirements Must-Have: 8+ years of backend / infrastructure engineering experience, with 3+ years dedicated to chaos engineering or stability engineering Hands-on experience with large-scale fault injection in production environments (not just test environments), with deep understanding of production safety constraints Expert-level proficiency in Kubernetes fault injection (Chaos Mesh / Litmus / custom solutions), familiar with CRD / Operator development Proficient in at least one backend language (Go preferred), with platform-level system architecture design capability Deep understanding of distributed system failure modes (network partitions, split-brain, cascading failures, data inconsistency, etc.) Familiarity with observability tech stack (Prometheus / Grafana / Thanos / OpenTelemetry) Excellent technical documentation and solution design skills Nice-to-Have: Experience in financial / trading system stability (understanding of transaction consistency and fund safety constraints) Experience building SLO / Error Budget frameworks Experience building automated fault recovery (self-healing) systems Familiarity with AWS infrastructure (EC2 / EKS / Multi-AZ / Multi-Region) Knowledge of Netflix Chaos Engineering / AWS Fault Injection Simulator / Gremlin Open-source community contributions (Chaos Mesh / Litmus or similar projects) Soft Skills: Ability to balance "safety" and "validation depth" — not afraid of production injection, while maintaining strict risk control Strong cross-team collaboration and influence — chaos engineering requires buy-in from business teams; this role demands persuasion skills Self-driven, capable of independently planning and executing in ambiguous situations Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Задачи: - Разрабатывать REST API с использованием FastAPI; - Проектировать и реализовать backend-сервисы с нуля; - Проводить интеграции с базами данных и системами обмена данными; - Обеспечивать масштабируемость и отказоустойчивость сервисов; - Писать и поддерживать автоматизированные тесты; - Настраивать и поддерживать CI/CD процессы для непрерывной интеграции; - Участвовать в планировании задач и работе по методологии Scrum; - Тесно взаимодействовать с командой для оперативного решения технических вопросов. Требования: - Сильные инженерные навыки, самостоятельность, понимание полного цикла доставки приложения; - Уверенный опыт настройки и использования CI/CD, работы с Docker и Kubernetes; - Понимание DevOps-культуры, умение написать и поддержать Helm-чарт/Dockerfile, разобраться с деплоем, настроить базовый мониторинг и алертинг; - Глубокие знания Python и опыт работы с FastAPI; - Опыт работы с PostgreSQL, ClickHouse, Kafka, Redis, Spark; - Умение писать чистый, поддерживаемый код с соблюдением best practices и знание архитектурных паттернов; - Опыт работы в высоконагруженных системах и решения реальных задач на production; - Аналитический склад ума, системное мышление и готовность самостоятельно доводить задачи до конца; - Продвинутое знание инструментов мониторинга (Prometheus, Grafana, Opensearch/ELK); - Глубокий опыт в DevOps, опыт работы с Triton Inference Server и другими инструментами деплоя ML-моделей будет плюсом.

Задачи: — Проектировать и развивать модели компьютерного зрения и видеоаналитики (детекция, трекинг, распознавание лиц, анализ поведения); — Интегрировать ML-модели в production (backend, edge); — Обучать и дообучать модели (fine-tuning, transfer learning); — Работать над реальными AI-проектами с бизнес-применением; — Сопровождать полный цикл разработки: от исследования до деплоя; — Оптимизировать модели и повышать качество CV-решений. Требования: — Уверенные знания Computer Vision и современных DL-подходов; — Глубокое понимание машинного обучения и нейронных сетей (CNN, detection/segmentation); — Уверенное владение Python; — Опыт работы с OpenCV, NumPy, PyTorch и/или TensorFlow; — Опыт работы с Git; — Опыт оптимизации моделей (speed/accuracy trade-offs, inference); — Опыт решения задач детекции, трекинга и анализа поведения людей. Условия: — Формат работы: офис, Астана.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. As a Staff Software Engineer, you'll play a key leadership role within the Sportsbook team at FBG, driving the design and development of a highly scalable, fault-tolerant online sportsbook platform. You'll work on critical areas such as sportsbook market integration, risk management, tooling and other backed systems that deliver seamless customer experiences. In addition to hands-on technical contributions, you'll provide technical mentorship, guide architectural decisions, and analyze complex system challenges to ensure robust and efficient solutions. You'll collaborate across teams, influencing best practices and leading key projects that enhance the sportsbook experience within the broader Fanatics ecosystem. Responsibilities Drive the development, testing, documentation, and deployment of high-quality, stable, scalable software into production Develop a comprehensive understanding of the industry, product, and roadmap, leveraging this knowledge to shape team strategy and influence the direction of the organization Lead the end-to-end technical execution of complex features and systems, from ideation and architecture to deployment and refinement Align and streamline designs across your department, promoting clarity and simplicity in technical direction while upholding organizational goals. Partner closely with product, design, and other stakeholders to make high-impact technical decisions that align with both business goals and long-term scalability Lead incident resolution as part of the on-call rotation, ensuring swift diagnosis and remediation of critical software issues Proactively identify and remove roadblocks, occasionally collaborating cross-team collaboration to maintain momentum on complex projects Conduct and elevate code reviews, sharing expertise to enhance code quality Steer team planning and design discussions, introducing innovative approaches to solve technical challenges and optimize design patterns Champion improvements to software quality, testability, operational metrics, and team documentation, setting a higher standard for the organization Mentor and coach engineers at all levels, fostering a culture of continuous learning and professional growth across the team Be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities Required Qualifications 7+ years of experience building highly scalable, performant and evolvable backend distributed systems; proficiency in Spring and Java is a must. Demonstrated ability to drive best practices in backend development and mentor others in effective coding and architectural strategies, such as clean code, domain driven design and other design and architectural patterns Knowledge of observability practices, including logging, monitoring, and tracing in distributed systems. Expertise in Agile software delivery, with a track record of modeling and driving process improvements across teams, and ability to collaborate cross-functionally across diverse teams within large enterprise environments, driving alignment and shared success. Excellent communication skills, capable of conveying complex technical concepts clearly and effectively to diverse audiences, including engineers, executives, and non-technical stakeholders. Adaptable mindset, comfortable with shifting priorities and new initiatives in a fast-paced, evolving organization. Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better. Preferred Qualifications Strong Experience in the sports industry, gaming and content delivery Highly effective with Java, Spring boot, React. Expertise in messaging technologies such as Kafka with a solid understanding of event-driven architectures. Comfortable working with Cloud Native and Infrastructure as Code, like Kubernetes, Helm and Terraform Ability to work in diverse codebases, both legacy and greenfield, in different languages and environments Background in startups or high-growth environments. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-KR1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $144,400 — $237,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Remote (US) About Onramp Onramp is building the money platform of the future for individuals, businesses, and financial institutions — Bitcoin, dollars, and stablecoins in one place, secured by multi-institution custody and delivered through products people love and APIs institutions build on. We work directly with banks, custodians, and financial institutions, and the platform re-architecture to serve them is happening right now. The Role We're looking for a player-coach Engineering Lead — a senior or staff-level engineer who still ships every week, sets architecture, and raises the bar for the team building this platform. We're structuring engineering into small, autonomous pods with high ownership, and your job is to make those pods dangerous. On any given week, you might: Own platform architecture across our API re-platforming, custody infrastructure, money movement rails, and the mobile/web clients that sit on top Own security architecture across our custody infrastructure and money-movement rails — threat modeling, secure-by-design review, key-management security, and incident response — as the technical security voice partnering with compliance Own and continuously improve our cybersecurity program — the security tooling, processes, and procedures we already run — maturing them as we scale and keeping them right-sized for a company our size, in lockstep with our SOC 2 program Write code most days — the hard parts: core services, API design, integrations with custodians, banks, and stablecoin rails Turn tribal knowledge into written architecture docs, runbooks, and decision records Mentor a talented, hungry team and raise the quality bar through review and example, not process for its own sake Build and evangelize AI-native workflows — agent orchestration, multi-model code review, automated testing and documentation Partner directly with product, sales, and our banking and custody partners Who You Are A senior, staff, or principal-level engineer (or a hands-on VP/Head of Engineering who misses the keyboard) with deep experience building production financial systems, APIs, or platform infrastructure A proven security leader who has owned security architecture or secure-by-design for financial, custody, or other high-stakes systems, and can set and hold the security bar for the team Has owned and leveled up a security program at an early- or growth-stage company — sharpening the tooling and processes that already exist without adding enterprise bloat Insanely AI-native — you orchestrate agents, run multi-model workflows, and have strong, current opinions on tooling because you use it every day An architect who ships — comfortable owning system design and the pull requests that implement it A force multiplier who has led through influence, mentorship, and code Fluent, or aggressively curious, in the money stack: Bitcoin, custody, key management, stablecoins, payment rails, brokerage, ledgering — with real depth on the security side of it A clear written communicator — architecture docs, decision records, and async updates that people actually read Comfortable with the ambiguity and pace of an early-stage company where the roadmap is won, not given Nice to Have Experience with banking/fintech integrations (KYC, ledgering, ACH/wires, stablecoin issuance), React/React Native and modern backend stacks, mobile product experience, security or compliance program work (SOC 2), or prior early-stage leadership. Why This Role, Why Now Leverage — small team, massive surface area; your architectural decisions become the platform Timing — Bitcoin is institutionalizing, stablecoin legislation is live, and the industry's custody model is being rethought in real time The AI moment — budget, mandate, and cultural support to push AI-native engineering as far as it can go Ownership — competitive salary, meaningful equity, and a seat at the table as we scale How We Work Remote-first (US), high-trust, low-ceremony. Small pods, direct communication, written culture, and biweekly all-hands with live AI demos. We care about output, not hours. The Process Fast and respectful of your time: intro call, then a technical/architecture conversation with the team, a working session (bring your AI toolkit — we want to see how you actually build), a founder conversation, and an offer. What We Offer High agency and first-principles thinkers Flat structure, builder-first execution culture Mission-driven: Bitcoin only, no altcoins Collaborative, transparent, and low-ego Remote-first, globally distributed team How to Apply Send your resume and a link to a short intro video explaining the following to hiring@onrampbitcoin.com: The most architecturally complex system you've personally owned end-to-end One AI-leveraged workflow you've built, used, or wished you had Why Onramp Apply Send us your application Email Your Application