
1001 - 5000 Mitarbeiter
Gegründet 2014
💼 Beratung
📣 Marketing
🤖 Künstliche Intelligenz
💰 Secondary Market im 2020-11
Consulting • Marketing • Artificial Intelligence
GitLab ist eine vollständige DevOps-Plattform, bereitgestellt als eine einzige Anwendung, die die Art und Weise, wie Development-, Security- und Ops-Teams zusammenarbeiten und Software entwickeln, grundlegend verändert. Von der Idee bis zur Produktion hilft GitLab Teams, die Durchlaufzeit von Wochen auf Minuten zu verkürzen, Entwicklungskosten und Time-to-Market zu senken und gleichzeitig die Developer-Produktivität zu steigern.
🕒 vor 2 Monaten
🌐 Vereinigte Staaten, Kanada, +2 weitere Länder – Remote
💵 $250.000 - $349.000 / Jahr
⏰ Vollzeit
🟠 Senior
🔴 Experte
👷🏻♀️ Ingenieur
👻 Geisterscore 3%
🗣️🇺🇸🇬🇧 Englisch erforderlich
Woher diese Stelle stammt
Veröffentlicht auf der Karriereseite von GitLab, nicht über eine Jobbörse
Von Remote Rocketship zum ersten Mal gesehen vor 2 Monaten
Noch offen auf der Website von GitLab. Geprüft vor 10 Stunden.

1001 - 5000 Mitarbeiter
Gegründet 2014
💼 Beratung
📣 Marketing
🤖 Künstliche Intelligenz
💰 Secondary Market im 2020-11
Consulting • Marketing • Artificial Intelligence
GitLab ist eine vollständige DevOps-Plattform, bereitgestellt als eine einzige Anwendung, die die Art und Weise, wie Development-, Security- und Ops-Teams zusammenarbeiten und Software entwickeln, grundlegend verändert. Von der Idee bis zur Produktion hilft GitLab Teams, die Durchlaufzeit von Wochen auf Minuten zu verkürzen, Entwicklungskosten und Time-to-Market zu senken und gleichzeitig die Developer-Produktivität zu steigern.
• 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
• 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
• 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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