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Senior Backend Engineer, Architecture Engineering: Nonlinear Productivity

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. Mo…

gitlab На сервисе с: 19.10.26 21:18

↑ Вакансия с автоподнятием
Зарплата не указанаСШАКанада

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 Senior Backend Engineer on GitLab's Nonlinear Productivity team, you'll find and remove friction across the software development lifecycle using reliable AI-powered automation — diagnosing problems like long review cycles, manual release steps, and brittle automation, then building the automation and process changes that resolve them for good.

Some examples of the problems this team takes on:

  • Cutting the time it takes to complete a good code review — one that still keeps a human in the loop — by half, using agentic solutions.
  • Turning a manual, error-prone release step into an agentic workflow that catches its own mistakes before a human ever has to.

What you'll do

  • Identify sources of friction across GitLab's software development lifecycle and scope agentic solutions to address them, turning vague pain points into concrete, buildable proposals.
  • Design and build reliable AI-powered systems that follow step-by-step workflows, use tools and safety checks, and correct errors before taking engineering action — the kind of output you can actually trust with real engineering decisions.
  • Build and maintain evaluation tools that judge agent output on correctness, constraint compliance, and cost, not on whether it merely "seems to work."
  • Work across GitLab's codebase as each problem requires, going wherever the friction actually is rather than staying inside one service or product area.
  • Apply distributed systems judgment to identify generated code that may fail under concurrency, at scale, or across self-managed, dedicated, and multi-tenant deployments, catching failures before they reach customers.
  • Collaborate with the India-based group, sharing roadmaps, findings, and reusable agent tooling
  • Take ownership of a greenfield problem space from day one, helping shape a proven internal fix into a capability GitLab could offer customers externally, with your scope and impact free to grow as the team scales.

What you'll bring

  • Hands-on experience building agentic or large language model-based systems — multi-step orchestration, tool use, guardrails, and recovery patterns — and making them reliable in production, not treated as one-off prompts or demonstrations.
  • A track record of working autonomously in unfamiliar codebases, getting oriented quickly, and driving solutions through completion.
  • Strong distributed systems knowledge, including coordination, consistency, idempotency, rate limiting, failure modes, and degradation under load.
  • Proficiency in Go, Rust, or Python, in that order of team priority, and the ability to read and modify code in the other languages.
  • Helpful experience includes shipping autonomous agents that complete real tasks from start to finish; improving build systems, release processes, review workflows, or other parts of the software development lifecycle; and working with globally distributed teams, large language model workload costs, or production constraints across on-premises, air-gapped, single-tenant, and software-as-a-service deployments.

About the team

Nonlinear Productivity — shortened internally to "NLP," with no relation to natural language processing — is one of GitLab's newest teams: a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO. It's split into a US group (this role) and an India-based group working the same charter; the two sync on roadmap and tooling a few times a week but otherwise run day to day on their own. It operates like a startup — no dedicated product manager, no pre-set backlog — and solutions that prove out internally are the team's path to a monetized, customer-facing GitLab offering.

It's a good fit for engineers who'd rather go find the next problem than be handed one, and who want a hand in defining a brand-new part of GitLab from its first commit.

 

 
Remote-Global

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
$139,200—$235,200 USD

How GitLab Supports Full-Time Employees

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.

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Senior Platform Software Engineer

humanoidНа сервисе с: 03.10.26 16:03↑ Вакансия с автоподнятием
Зарплата не указанаСШАМароккоBoston

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.

About the Role

As a Senior Platform Software Engineer at Humanoid, you will be at the heart of developing the core OS, data networks and protocols, and fundamental software subsystems for our next-generation humanoid robots. You will help develop the foundational software architectures that allow high fidelity robotic controls and AI development. You will be responsible for writing high-integrity software that runs on our robots, integrating sensors, safety systems, and computing platforms to enable safe human-robot collaboration.

In this role, you will have the opportunity to take full ownership of new systems and directly contribute to the development of our future products. If you are interested in complex embedded software projects, thrive in a fast-paced, collaborative environment, and want to make a real impact on the future of human-robot interaction, we want you on our team!

What You'll Do

  • Design & Create Embedded Software: Develop and validate embedded software that ensures our robots can operate at scale in the real world.

  • Hardware & Software Integration: Work at the intersection of hardware and software to integrate various robotic components (e.g., sensors, actuators, computing platforms) into a cohesive, fault-tolerant system.

  • Lead Cross-Functional Projects: Lead interdisciplinary projects that involve robotic perception, computing subsystems, and software integration, collaborating with engineers across multiple domains.

  • Test & Evaluate Systems: Integrate new systems with our robots to test, validate, and ensure that they meet safety requirements and perform reliably in real-world conditions.

  • Build Infrastructure for Innovation: Contribute to the development of tools, infrastructure, and operational practices within a small, agile R&D team focused on unlocking new capabilities for Humanoid robots.

  • Drive Safety in Robotics: Be part of a team working at the cutting edge of technology to improve the safety and performance of robots operating in real-world, human-centric environments.

  • Collaborate Across Teams: Work closely with electrical engineers, software developers, robotics control experts, physical AI developers, and other team members to integrate software systems with robotics hardware, ensuring seamless operation and performance.

What We're Looking For

  • 5+ years of experience developing and deploying production software in embedded systems running Linux (C++, C, Rust, Python, Go).

  • Experience developing time-sensitive, performance critical applications.

  • Thorough understanding of Ethernet and IP networking and higher-level protocols like HTTP or gRPC.

  • Experience with Linux build environments like Yocto or Buildroot.

  • Experience in building Linux kernels and modifying or writing device drivers.

  • Experience with Nvidia’s Jetson platform is a plus.

  • Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus.

  • Strong communication skills, with the ability to write clear technical documentation and deliver presentations on complex topics.

  • Proven history of leading cross-functional technical projects, including developing technical requirements and driving collaboration across teams.

  • Experience working in small, agile teams with fast iteration cycles and interdisciplinary collaboration.

What We Offer

  • Competitive equity: stock options with meaningful upside as we scale.

  • 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).

  • Private healthcare, including virtual and in-person care.

  • Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.

  • Free daily breakfast, catered lunch, and snacks in-office.

  • Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.

  • Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

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Principal Software Engineer

G42На сервисе с: 16.10.26 19:26↑ Вакансия с автоподнятием
Зарплата не указанаОАЭAbu Dhabi

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inception42.ai

Overview:

We are seeking a highly accomplished Principal Software Engineer to lead end-to-end technical strategy, architecture, and execution across web-scale, platforms. This individual will be instrumental in defining system-level patterns, enforcing engineering best practices, and mentoring senior engineers within a fast-paced, agile environment. Will be leading our critical components of our AI platform and provide technical leadership across projects.

Responsibilities:

  • Architect and build scalable platform systems (frontend platforms, backend services, and shared infrastructure)
  • Develop reusable UI frameworks, design systems, and component libraries
  • Design and maintain platform APIs and shared services used across multiple products
  • Establish and drive platform engineering best practices (modularity, observability, reliability, and security)
  • Build and optimize CI/CD pipelines, internal developer platforms, and automation tooling
  • Improve developer experience (DevEx) by reducing friction in development, testing, and deployment
  • Ensure high availability, performance, and scalability across distributed systems
  • Mentor engineers and guide teams in adopting platform capabilities effectively

Qualifications:

To qualify for the role, you must have

 

  • 12–15+ years of experience in software engineering with strong full stack and platform engineering expertise
  • Strong experience building shared platforms, frameworks, or internal tooling
  • Proficiency in front-end technologies (React, Angular) and modern JavaScript/TypeScript
  • Strong backend experience (Node.js, Python, or Go) with API and service design at scale
  • Deep understanding of distributed systems, microservices, and platform architectures
  • Experience with API design (REST/gRPC), service contracts, and versioning strategies
  • Strong experience with cloud platforms (AWS, Azure) and platform-native services
  • Hands-on experience with Docker, Kubernetes, and orchestration at scale
  • Experience with observability tools (monitoring, logging, tracing) is a plus

 

AI & Agentic Systems Expertise:

  • Experience designing and building AI agent workflows and orchestration systems
  • Familiarity with LLM-based applications, prompt design, and tool-augmented agents
  • Experience integrating AI agents with APIs, services, and enterprise workflows
  • Understanding of agent frameworks (e.g., LangChain, Semantic Kernel, or similar)
  • Experience with multi-agent systems, task planning, and workflow automation
  • Knowledge of evaluation, guardrails, and reliability patterns for AI systems
  • Exposure to RAG pipelines, vector databases, and context management is a plus
What We Look For
If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception42 community.
 
What Working At Inception42 Offers
 
Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

 

hh.ru
450k–600k ₽РоссияНижний НовгородУдалёнка

Clearway Integration - инженерная компания, развивающая собственные продукты для управления и мониторинга крупных ИТ-инфраструктур и жизненного цикла сертификатов (PKI: TLS + ГОСТ). Мы строим платформу ЦУГИ и решения уровня enterprise: от контроля инфраструктуры и инвентаризации до автоматизации выпуска/доставки/ротации сертификатов для серверов, АРМ и Kubernetes/Istio. Компания аккредитована в реестре Минцифры; продукты включены в Реестр отечественного ПО.

Роль и зона ответственности:

Роль Team Lead Go нужна, чтобы усилить лидерство Go-команды: вести людей и delivery, улучшать архитектуру и качество, повышать предсказуемость delivery, управлять техдолгом и инцидентами, развивать инженерные практики и людей. Команда и домен “взрослые”: масштаб, безопасность, высокий SLA, сложные интеграции, много системных нюансов.

Задачи:
  • Вести людей и команду: регулярные 1:1, развитие, обратная связь, рост инженерной планки;
  • Планировать delivery вместе с продуктом/аналитикой: приоритеты, декомпозиция, оценки, риски, прогнозируемость;
  • Участвовать в найме и онбординге, помогать команде быстро входить в домен и практики;
  • Снимать блокеры, выстраивать взаимодействие с DevOps/QA/смежными командами, держать фокус на результате;
  • Вести техническую реализацию компонентов/сервисов на Go: архитектура, дизайн, решение trade-off’ов;
  • Улучшать существующую микросервисную/модульную архитектуру под требования по SLA/SLO, производительности и масштабированию;
  • Улучшать качество поставки: code review, стандарты, тестирование, технические политики;
  • Управлять техдолгом: выявление, приоритизация, план погашения, контроль эффекта метриками;
  • Проектировать API (gRPC/REST), обеспечивать обратную совместимость контрактов;
  • Работать с данными: PostgreSQL (схемы, индексы, запросы, оптимизация), при необходимости ClickHouse;
  • Совместно с DevOps выстраивать CI/CD, инфраструктурные практики (Docker/Kubernetes/Helm);
  • Настраивать/развивать observability: метрики, логи, трейсинг (Prometheus/Grafana/ELK/Jaeger);
  • Участвовать в разборе production-инцидентов: RCA, postmortem, системные улучшения;
  • Менторить разрабтчиков, участвовать в найме и онбординге, формировать инженерную культуру.
Обязательные требования:
  • Опыт разработки на Go (или сильный .NET с готовностью быстро перейти на Go) и опыт техлида/техлидерства;
  • Практический опыт построения/поддержки высоконагруженных и отказоустойчивых сервисов;
  • Хорошее понимание concurrency в Go, race conditions, профилирование/оптимизация;
  • Опыт проектирования API: gRPC и/или REST, версионирование, контракты;
  • Уверенная работа с PostgreSQL: схемы, индексы, транзакции, explain/analyze, оптимизация запросов;
  • Умение выстраивать инженерные практики: code review, unit/integration tests, ADR;
  • Опыт с Docker; понимание принципов работы Kubernetes (деплой/отладка, взаимодействие с DevOps);
  • Опыт внедрения observability (метрики/логи/трейсинг) и работы по SLA/SLO;
  • Сильные коммуникации: уметь объяснять решения команде и бизнес-стороне, держать фокус на результате;
  • Опыт управления командой разработки: постановка целей, развитие, обратная связь, решение конфликтов и удержание фокуса на delivery;
  • Опыт найма и онбординга: участие в интервью, формирование ожиданий, адаптация новых людей.

Будет плюсом:

  • Опыт с ClickHouse (как основное хранилище аналитики/логов/событий);
  • Kafka/RabbitMQ/NATS, проектирование event-driven интеграций, идемпотентность, ретраи;
  • Redis (кэширование, rate limiting, distributed locks - где уместно);
  • Практика SRE-подходов: SLI/SLO, error budget, улучшение надёжности через метрики;
  • Опыт системного/сетевого понимания (TCP/TLS/DNS), опыт Linux internals;
  • Опыт участия в сертификациях/регуляторных требованиях;
  • Опыт построения платформенных библиотек/фреймворков для команды (middleware, стандарты);
  • Английский для чтения документации и общения по техническим темам (уровень можно уточнить);
  • Опыт выстраивания процессов delivery (планирование, прогнозируемость, управление рисками, прозрачная коммуникация со стейкхолдерами).

Что предлагаем:

  • Сильный домен и масштаб: десятки тысяч узлов, PKI (TLS/ГОСТ), Kubernetes/Istio - задачи, которые редко встречаются “в обычных продуктах”;
  • Формат работы: офис / удалёнка / гибрид (на выбор);
  • Оформление: ТК РФ, стабильная “белая” модель;
  • Соцпакет: ДМС, доплата больничных до 100% (до 28 дней/год), 3 day-off, мобильная связь, техника;
  • Обучение: внешние курсы/конференции, развитие инженерных компетенций;
  • Годовые бонусы до 6 окладов;
  • Возможность участия в госпрограммах поддержки ИТ (льготная ипотека и др.);
  • Много влияния на продукт: архитектура, стандарты, инженерные практики, качество поставки.

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