Senior Backend Engineer, Architecture Engineering: Nonlinear Productivity

Навыки

• Работа с бэклогом
• Code review
• Многопоточность
• DevSecOps
• Распределённые системы
• Лидерство
• NLP

О компании и продукте

• 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.

Задачи

• 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
• 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

Требования

• 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

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.