Distinguished Engineer, Agentic SDLC – Non-Linear Productivity

🕒 Setembro 11

🌐 Estados Unidos, Canadá, +2 outros países – Remoto

🇺🇸 Estados Unidos – Remoto (EUA) 🇨🇦 Canadá – Remoto 🇵🇱 Polônia – Remoto 🇬🇧 Reino Unido – Remoto (RU)

💵 $250.000 - $349.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👷🏻‍♀️ Engenheiro

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GitLab

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2014

💼 Consultoria

📣 Marketing

🤖 Inteligência Artificial

💰 Secondary Market em 2020-11

Consulting • Marketing • Artificial Intelligence

O GitLab é uma plataforma completa de DevOps, entregue como uma única aplicação, que transforma fundamentalmente a forma como os times de Desenvolvimento, Segurança e Ops colaboram e desenvolvem software. Da ideia à produção, o GitLab ajuda os times a reduzir o tempo de ciclo de semanas para minutos, diminuir os custos de desenvolvimento e o time to market, ao mesmo tempo em que aumenta a produtividade dos desenvolvedores.

Descrição

• Define and continuously refine a company-wide technical vision for autonomous, agentic SDLC aligned with GitLab's product strategy and Engineering job architecture • Identify and prioritize non-linear productivity opportunities across the SDLC, targeting 10x step changes • Translate ambiguous problem spaces into concrete, iterable roadmaps with Product, AI and ML, and Architecture teams • Lead hands-on experiments and prototypes for autonomous MR authoring, test creation and triage, security remediation, release readiness, and incident response • Design and implement reference architectures including orchestration patterns, safety guardrails, observability, and human-in-the-loop controls • Define evaluation frameworks using offline benchmarks and online experiments • Own high-impact internal use cases from concept through adoption and measurable productivity gains • Embed agentic workflows into day-to-day engineering development • Define and track productivity metrics such as cycle time, MTTR, and MR throughput • Codify reusable patterns, libraries, and playbooks • Convert proven internal patterns into safe, reliable product capabilities • Ensure compliance, data governance, and multi-tenant requirements are respected • Serve as escalation point for complex technical and architectural decisions • Mentor Principal and Staff Engineers • Write design documents, architecture narratives, and decision records • Represent GitLab in conferences, standards groups, and open source communities • Partner with Security, Compliance, Reliability, and SRE teams on guardrails, monitoring, observability, and resilience

🎯 Requisitos

• 10+ years of software engineering experience, including 4+ years in a Staff, Principal, or equivalent senior technical leadership role • Deep expertise in AI and ML systems, including large language models, agentic frameworks, and autonomous workflow design at production scale • Proven track record of leading hands-on technical experimentation, including defining evaluation frameworks, running benchmarks, and translating findings into scalable architecture decisions • Strong background in scalable, multi-tenant distributed systems, including service decomposition, fault tolerance, observability, and operational resilience • Experience designing and implementing human-in-the-loop controls, safety guardrails, and responsible AI practices for production systems • Demonstrated ability to drive cross-functional alignment across Engineering, Product, Infrastructure, and Data and ML teams on complex, ambiguous technical challenges • Experience mentoring senior engineers and influencing technical direction across multiple teams or divisions without direct authority • Ability to work effectively in a fully remote, globally distributed organization with excellent written and asynchronous communication skills • Familiarity with GitLab's DevSecOps platform, CI/CD primitives, and the software development lifecycle is a strong plus

🏖️ Benefícios

• 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

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