Вакансии

Responsibilities: — Design and deploy on-premises Kubernetes clusters for high-load products. The role is within a fast-growing Russian tech company focused on software development for LTE/5G network management.

Мы ищем сильного пресейл-инженера по кибербезопасности, который сможет выступать техническим лидером на этапе продажи и помогать клиентам превращать бизнес-и ИБ-потребности в реалистичные, конкурентоспособные и архитектурно выверенные решения.

Проект: Финтех На данную позицию рассматриваем кандидатов, которые проживают в Москве с официальным опытом в качестве тестировщика (по ТК). Требования: — Высшее техническое образование — Опыт работы manual QA от 2 лет — Опыт тестирования сложных web-систем — Уверенное знание техник тест-дизайна — Практический опыт работы с Kafka — Практический опыт тестирования REST API — Уверенное владение Insomnia/Postman, DevTools — Хорошее знание SQL и опыт работы с PostgreSQL или другой реляционной БД — Понимание клиент-серверной и микросервисной архитектуры — Опыт тестирования интеграционных сценариев Условия: — Официальное трудоустройство; оплата больничного, отпуск 28 календарных дней — Возможность карьерного роста — Возможность участия в интересном проекте — Опыт работы в команде профессионалов

• Уметь строить поддерживаемые, масштабируемые приложения на React/Redux/TS.

– Коммерческий опыт DevOps/SRE от 3 лет. – Уверенное администрирование Linux.

Задачи: — Функциональное тестирование сложных сценариев, включая проверку микрофронтов и корректности работы ролевых моделей с разными правами доступа. — Тестирование интерфейсов (UI/UX) на соответствие требованиям. — Проверка контрактов между Frontend и Backend, а также между микросервисами (REST API). — Проверка внутренней бизнес-логики микросервисов. — Проверка корректности вычитывания операций из блокчейн-сети. — Проверка записей транзакций в блокчейн, контроль целостности и неизменяемости. — Проверка механик оффчейн-сбора консенсуса. — Написание и поддержка автотестов на Java (TestNG). — Разработка эмуляторов и заглушек (Wiremock) для изолированного тестирования микросервисов. — Настройка и конфигурирование тестовых сред. — Работа с инструментами мониторинга для анализа поведения системы под нагрузкой и в штатном режиме. — Подготовка тестовой документации и отчетов по качеству продукта. Требования: — Опыт от 3 до 5 лет на позиции тестировщика (функциональное/интеграционное тестирование). — Высшее техническое образование. — Уверенное владение SQL (все базовые команды, JOIN-ы, вложенные запросы, фильтрация данных). — Глубокое понимание REST API (методы, коды ответов, авторизация, работа с JSON/XML). — Опыт разработки автотестов на Java с использованием TestNG. — Опыт работы с инструментами мониторинга (Kibana, Grafana, Zabbix или аналоги), умение читать логи и метрики. — Базовое понимание принципов интеграции с блокчейн-сетями. — Опыт подготовки тестовой документации (тест-кейсы, чек-листы, отчеты о дефектах). — Опыт настройки и конфигурирования тестовых сред (поднятие стендов, обновление конфигов). — Практический опыт разработки эмуляторов/заглушек (Wiremock). Будет преимуществом: — Опыт тестирования блокчейн-решений или финансовых платформ. — Понимание основ криптографии и управления ключами. — Опыт работы с микросервисной архитектурой и Kubernetes/OpenShift. — Опыт тестирования асинхронных взаимодействий (Kafka, очереди сообщений). — Знание BDD-подхода (Cucumber, Gherkin). Условия: — Участие в инновационном проекте федерального уровня в быстрорастущем сегменте ЦФА. — Официальное трудоустройство по ТК РФ, полностью «белая» заработная плата. — ДМС на сотрудника и детей после испытательного срока. — Работа в сильной команде экспертов с прозрачной системой постановки задач. — Возможность профессионального роста и изучения блокчейн-технологий (онбординг, менторство).

Развития высокодоступной кластерной инфраструктуры на базе Kubernetes; Доработки и развития процессов сборки и доставки ПО (CI/CD), разработки и поддержки используемых инструментов;

Responsibilities: — Lead the architecture and execution of critical cryptographic infrastructure, including services required for global regulatory compliance — Define technical strategies with a multi-quarter horizon, clarifying ambiguous requirements for novel cryptographic solutions — Own risky and ambitious initiatives, implementing secure and resilient cryptographic protocols in a high-stakes, zero-trust environment — Shape engineering quality practices as a technical anchor and mentor within a team of senior engineers, driving rigorous code reviews and eliminating single points of failure — Build alignment and secure commitment from cross-functional partners across Security, Product, and Policy to drive flawless execution Requirements: — 8+ years of experience in software engineering with demonstrated success building highly available, distributed systems — Deep domain expertise in applied cryptography, Key Management Systems (KMS), or Hardware Security Modules (HSMs), with proven experience safely implementing cryptographic protocols (Multi-Party Computation experience strongly preferred) — Extensive programming experience in systems languages such as Golang, Java, C++, or Rust, with ability to operate in a Golang-heavy environment — Proven track record operating Tier-0 or highly critical infrastructure where system resilience, security, and low latency are absolute prerequisites — Demonstrated experience leading a team's technical strategy, architecture, and deliverables for large-scale projects, including navigating complex regulatory requirements and translating them into robust engineering solutions — Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality Benefits: — Accommodations for individuals with disabilities available upon request via email at accommodations[at]coinbase.com

Понимание устройства прикладных/серверных web-приложений и микросервисной архитектуры. Умение читать и анализировать кодовую базу (Java, JS/TS, Python, C, C++, C#) на уязвимости и НДВ.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the InfoSec team The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence. About the role In this role, you'll help mature Affirm's insider threat program. You'll build out the controls, detection use cases, and investigative practices that make it work day to day, support insider risk investigations, and partner with Legal, HR, Privacy, and Compliance to keep the program effective, proportionate, and trusted by Affirmers. What you’ll do Lead the build-out of key insider threat workstreams, from initial design through to day-to-day operation Build out the program's operating mechanics, including investigative standards, playbooks, and the metrics and reporting that show whether the program is working Support insider risk investigations alongside SIRT, bringing insider threat expertise, telemetry and evidence analysis, and written findings and risk recommendations Partner with Legal, HR/Employee Relations, Privacy, and Compliance on case handling and escalation criteria, helping ensure the program respects employee privacy and meets legal and regulatory obligations Threat model Affirm's highest-risk data and systems for insider risk, and partner with detection engineers to turn the results into production detections Own and improve the controls that reduce insider risk, including data loss prevention, endpoint monitoring, secure browser and contractor access controls, SaaS posture management, and access governance, working with system owners to close gap Automate the program's operational load with workflow automation platforms and Python, covering evidence collection, case routing, and reporting Build and expand agentic automations that assist with insider risk triage and investigation, and define which decisions stay with a human What we look for Deep expertise in security engineering, security operations, insider risk, or digital forensics Track record of standing up new security capabilities where little existed before Experience running investigations end to end, including evidence handling, log and endpoint forensics, timeline reconstruction, and written findings suitable for Legal and HR audiences Ability to write and evaluate detection logic against endpoint, identity, cloud, and SaaS telemetry in a SIEM (Splunk, Elastic, Panther, Chronicle, or similar) Hands-on experience with insider risk tooling such as DLP, UEBA, endpoint detection and response, CASB, and access governance, with a practical sense of their strengths and limits Working knowledge of Python for security tooling and automation Experience building and maintaining production workflows in automation platforms such as Tines, Torq, or similar Experience building and running agentic automations in production that assist with alert triage and investigation, such as LLM-driven enrichment, summarization, or first-pass analysis, with a clear view of where human review stays in the loop Discretion and sound judgment handling sensitive investigations, and comfort navigating the privacy, legal, and employee-relations considerations that insider work carries Clear written and verbal communication skills, with the ability to work across Security, Engineering, Legal, HR, Privacy, and Compliance Experience in regulated or financial services environments (SOC 2, PCI DSS, GLBA) is a plus Base Pay Grade - N Equity Grade - Canada 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000 $CAD. This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

- Проводить анализ защищённости приложений, сервисов и смарт-контрактов. - Выполнять Security Code Review, Security Design Review и моделирование угроз.

Location: Bengaluru, Karnataka, India, APAC 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. About Us 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 We’re looking for a Senior Software Engineer for our data pipeline service to build and work on data pipelines that moves data from various sources to data warehouses. The work is very diverse — all the way from patching software to building warehouse data writers, to optimizing the behavior of sync services operating on our global Kubernetes compute cluster. You will be responsible for ensuring the technical excellence for your team and owned services, by contributing to the code, reviewing code, designing features and mentoring our junior colleagues. You will understand the key values that make our product great, and implement those values in the many small decisions you make every day as a product designer. Technologies You’ll Use Java, PostgreSQL, Cloud Data Warehouses, AWS, GCP, Azure, Temporal, Grafana , Kubernetes, Docker What You’ll Do Work on core features of the product, systematic enhancements, and bug fixes Write new or optimize the existing data writer platform to load data to warehouses You'll be working with Cloud APIs, Datawriters, SQL DBs, SQL Warehouses, etc You'll be working on the core data pipeline that moves terabytes of data from all our customer sources to data warehouses by processing data, splitting it into files formats like CSV/AVRO/Parquet, merging and loading to warehouses. As a senior engineer in the team, you will own and drive features within the technology team, pitch design ideas, work closely with leads in the team to perform design reviews, and contribute directly to code. Skills We’re Looking For Strong technical and problem-solving skills with 5+ years of professional experience writing Java code in the distributed production environment Experience in reliable data intensive distributed systems, with an emphasis on high-volume data management platforms that operate under strict SLAs Understanding complex SQL merge queries, plans, and their best practices Robust and reliable system design skills to satisfy project feature requirements and optimise the existing systems Strong troubleshooting skill to debug problems with in existing code, connect the dots, come up with detailed RCA Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals Bonus Skills​ Experience with Data Warehouses like BigQuery, Databricks, SQL Like with exposure to their internals Experience in data processing (ETL, ELT) Experienced working in a cloud environment utilizing AWS, GCP, Azure, Kubernetes, Docker, BuildKite, or similar technologies. #LI-AV1 #LI-HYBRID 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.

Job description: Build and polish the React/TypeScript interfaces of an early-stage AI platform for law firms, working directly with the CTO and shipping features end to end, including real-time data such as live transcription.

Location: Global - Remote; United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Software Engineer We build the infrastructure that frontier AI labs use to evaluate coding agents and language models: benchmark datasets, agent evaluation runs at scale, and automated task quality checks. You would own features across the stack, from the data model and background jobs to the screens our users work in every day. This is a role for an experienced engineer who works independently, makes sound tradeoffs, and turns a loosely defined request into something shipped, tested, and safe to leave alone. What you will do Design and ship features end to end: data model, API, background workers, and the UI when the change needs it. Build and improve how agents and models are evaluated: running trials in sandboxed environments, scoring results, and turning thousands of runs into results people can trust. Improve how benchmark tasks are quality-checked: verifiers, rubric-based and LLM-as-a-judge grading, and deciding whether a task is clear, solvable, and fair to score. Integrate new models, agents, and benchmarks in a way that generalizes, without a special case for each one. Keep the system fast and reliable as usage grows: efficient queries, safe migrations, and concurrency that holds up under load. Review teammates’ pull requests against our engineering guidelines and help keep the codebase consistent. What you bring 5+ years building and operating production backend systems, with ownership of at least one service from design through on-call. Bachelor’s degree or higher in Software Engineering, Computer Science, or a related field. Strong Python and experience with Django (or a similar framework), PostgreSQL, and a task queue such as Celery. What matters most is having run a real system, not knowing a particular framework. Hands-on experience in LLM evaluation, beyond calling a model API. You understand how a benchmark task is built, how an agent trial is scored, and how results are aggregated and compared. Experience with Harbor, Terminal-Bench, SWE-bench, Inspect, or a similar harness is a strong plus. Judgment about task quality. You can spot ambiguous instructions, weak or gameable verifiers, leaked answers, and checks that pass for the wrong reason. Good tradeoffs. You reach for the smallest design that solves the problem, extend what already exists before adding something new, and can explain what you chose not to build. Ownership. You take a fuzzy request, find the relevant code, ask questions only when the answer changes the design, and finish the job, including migrations, tests, and edge cases users will hit. Quick adoption of team conventions. You read the written guidelines and your first pull requests already match them in naming, structure, tests, and error handling. Comfort with a TypeScript and React frontend when a change is visible there. You don’t need to be a frontend specialist. Clear writing. Your pull request descriptions and design notes explain why, not just what. Nice to have Experience running agents in sandboxed or containerized environments (Docker, Kubernetes, or cloud sandboxes such as Modal or Daytona). Experience with LLM-as-a-judge or rubric-based grading, and with reducing judge bias and noise. Familiarity with coding agents such as Claude Code, Codex, or OpenHands, and with MCP. Experience with distributed job scheduling, concurrency limits, or database locking at scale. Contributions to open-source evaluation or infrastructure projects. How we work Written engineering guidelines, applied consistently, with the same review bar for everyone. Business logic lives in services. Hot paths stay cheap. Lint and tests pass before a pull request is ready. The same vocabulary in the code, the API, and the UI. We prefer deleting code to adding it, and simple designs to clever ones. A strong first month looks like several changes merged with light review, and one area of the system you can change confidently without a guide. Compensation: $xxx,000 - $xxx,000 Base Salary + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Москва Привет! Если тебе интересно, как устроены инвестиции, как работает механизм заработка и приумножения накоплений, то приглашаем тебя присоединиться к нашей команде профессионалов. Мы развиваем приложение "СберИнвестор", которым пользуются тысячи клиентов Сбера. Наш стек включает микросервисную архитектуру и облачную инфраструктуру. Обязанности Чем предстоит заниматься: • анализ требований и создание тестовой модели, • подготовка тестовых данных в смежных системах, • проведение интеграционного, функционального и регрессионного тестирования, • участие в приёмке релизов (демонстрациях), • автоматизация регрессионных тестов на Java и поддержка существующих автотестов, • рефакторинг и оптимизация текущих автотестов, • оценка необходимости автоматизации тест-кейсов вместе с командой, • участие в code review автотестов: принятие и предоставление обратной связи, • запуск автотестов на Jenkins и анализ результатов. Требования Мы ждём что ты: • имеешь опыт ручного и автоматизированного тестирования сложных систем и интеграций от 2 лет, • владеешь навыками написания автотестов на Java (JUnit, Cucumber), • понимаешь принципы объектно-ориентированного программирования (ООП), • умеешь анализировать логи серверов и находить причины сбоев, • знаешь основы работы с эмуляторами сервисов, • можешь запускать тесты через CI/CD-конвейеры или заинтересован этому обучиться, • обладаешь хорошими коммуникативными навыками. Будет плюсом: • наличие опыта работы с Cucumber, • понимание базовых аспектов DevOps, • инструментальное использование искусственного интеллекта для анализа и автоматизации. Условия Что мы предлагаем: • гибридный формат работы возле метро Кутузовская, • ежегодную премию, • возможность посещать корпоративный спортзал и отдыхать в зонах релаксации, • доступ к более чем 400 образовательным программам СберУниверситета для личного и карьерного роста, • регулярное участие в профессиональных мероприятиях и общение с сообществом специалистов по Data Science, • расширенную медицинскую страховку, льготное страхование членов семьи и корпоративную пенсию, • выгодную ипотеку под ставку на треть ниже ключевой ставки Центробанка России, • подписку СберПрайм с семейным доступом до трех человек, • бонус за рекомендации друзей в нашу команду.

Help train and evaluate AI agents on expert-level fluid simulation tasks. You'll take CAD geometry, set up and run simulations, build verified reference solutions, and write Python checks for the agent's results.

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 through a deeper understanding of their bodies and daily lives. As a Senior Software Engineer you will own quality engineering for Health Records while building shared data-mocking capabilities that support teams across WHOOP. You will lead the testing strategy and test automation for Health Records, ensuring healthcare data is ingested, transformed, stored, and consumed accurately and reliably. In parallel, you will scope and build reusable data-mocking frameworks for internal data and third-party integrations that can be consumed by our testing services across Health and other product areas. This is a hands-on senior engineering role spanning APIs, databases, data pipelines, event-driven systems, third-party integrations, healthcare data formats, cloud infrastructure, and internal testing services. RESPONSIBILITIES - Define the quality strategy and test automation for Health Records, validating data across ingestion, transformation, storage, and downstream consumption and establishing automated monitoring for data-quality regressions. - Design and build automated validation across APIs, databases, data pipelines, and healthcare data formats such as FHIR using Java, Python, SQL, and appropriate data-validation frameworks. - Scope, design, and build reusable data-mocking capabilities for teams across WHOOP, including internal data, third-party APIs, events, and data payloads. Drive adoption through integration with existing testing services, documentation, and common patterns. - Lead complex quality and test-infrastructure initiatives from technical planning through delivery, identifying risks, evaluating architectural tradeoffs, investigating systemic issues, and partnering with Engineering, Product, QA, and domain experts. - Establish and evolve engineering practices for data quality, testability, test data, observability, to ensure compliance with HIPAA requirements for PHI-safe testing, while mentoring engineers and developing additional ownership for Health Records quality. QUALIFICATIONS - 4+ years of experience in SDET, QA Engineering, Data Quality Engineering, ETL testing, or a related engineering discipline. - Strong SQL and database skills, with experience validating data integrity, reconciliation, transformations, and complex data pipelines. - Strong understanding of REST APIs, JSON, request/response patterns, events, and data payloads, including experience testing or mocking third-party integrations. - Experience building automation and reusable testing infrastructure using Java, Python, or similar programming languages. - Experience designing and testing ETL/ELT pipelines, distributed data flows, or other data-intensive systems, including failure, recovery, and edge-case scenarios. - Demonstrated ability to scope and lead complex technical initiatives, evaluate tradeoffs, influence technical direction, and build reusable solutions adopted by other engineers or teams. - Strong collaboration and communication skills with technical and non-technical partners, along with experience mentoring engineers and raising engineering practices. - Healthcare experience is preferred, particularly with EHR/EMR data, FHIR and similar standards, clinical data, healthcare terminology, and HIPAA/PHI requirements. - Bonus: Experience with cloud and event-driven infrastructure, high-volume data pipelines, data-quality or observability frameworks, CI/CD quality gates, or FHIR validation tooling.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Customer Success Engineer , you'll help customers get real, measurable value from GitLab after the sale by providing technical product expertise and best practice guidance. You'll be part of the customer success engineer team that delivers GitLab's On-Demand Success Tier through webinars, hands-on labs, office hours, and on-demand engagements. This is a pooled model, so you won't be dedicated to a specific set of accounts. You'll collaborate closely with Customer Success Managers, Account Executives, and Renewals Managers to support implementation, architecture, and use case adoption across GitLab's key workflows, including source code management, continuous integration and delivery, DevSecOps, and Agile Planning. You'll report to the Customer Success Engineer Team Manager , and your first-year outcomes will focus on building trusted advisor relationships, enabling successful customer implementations, and creating reusable workshops and technical content that helps customers adopt GitLab at scale. What you'll do Engage with customers via Zoom calls and email as a technical consultant during the post-sales journey, providing product, solution, and best-practice guidance. Partner with Customer Success Managers to go deep on GitLab use case implementation (for example: source code management, continuous integration, continuous delivery, DevSecOps, and Agile Planning). Deliver practical, customer-specific enablement through webinars, hands-on labs, office hours, and on-demand engagements in a pooled support model (not dedicated to a single account) Provide technical and architectural guidance that helps customers adopt GitLab capabilities and connect technical decisions to the outcomes they care about. Align with Account Executives and Renewals Managers to share customer-facing subject matter expertise that supports customer business objectives Develop and deliver workshops, demos, and other reusable enablement content in collaboration with cross-functional partners. Build and maintain specialty competency in one or more technologies aligned to GitLab's market focus through training, certification, and creating working examples for internal and customer use. Contribute to customer-facing learning resources, including GitLab documentation, YouTube content, and enablement programs such as the Digital Journey. What you'll bring Experience supporting one or more GitLab use cases (source code management, continuous integration, continuous delivery, DevSecOps, or Agile Planning) and enabling customers with practical, in-depth guidance. Proficiency with DevSecOps tools or adjacent highly technical tooling, with the ability to translate tool capabilities into customer outcomes. Technical background in software development or systems engineering, including comfort discussing architecture, workflows, and implementation tradeoffs. Ability to communicate complex technical and organizational topics clearly in writing and live settings (Zoom calls, workshops, and presentations). Experience operating as a trusted technical advisor to customer and business stakeholders in a post-sales environment. Strong time management and prioritization skills, including the ability to juggle multiple customer engagements and cross-functional requests in a pooled model. Continuous learning mindset, including maintaining specialty competency through training, certification, documentation, or creation of reusable examples; we welcome transferable experience from related roles and backgrounds. About the team We're a globally distributed customer success engineer (CSE) team supporting customers in GitLab's On-Demand Success Tier. We collaborate asynchronously and stay aligned through clear documentation and shared enablement assets. We continuously improve our content and delivery based on what we learn from customer engagements. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $93,600 — $158,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .