3 дня назад
Distinguished Engineer (Agentic SDLC)
250 000 - 349 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Distinguished Engineer (Agentic SDLC): Building autonomous agentic software development lifecycle capabilities and reference architectures across GitLab with an accent on AI/ML systems, safety guardrails, observability, and measurable productivity gains. Focus on designing human-in-the-loop workflows, evaluating correctness and resilience through production-adjacent experiments, and scaling secure multi-tenant solutions to customers.
Location: Remote in Canada, Poland, the United Kingdom, or the United States
United States salary range: $250,000–$349,000 USD per year
Company
provides an intelligent orchestration platform for DevSecOps, helping organizations improve developer productivity, operational efficiency, security, compliance, and software delivery.
What you will do
- Define the technical vision for autonomous, agentic SDLC capabilities across planning, coding, review, security, compliance, and operations.
- Lead hands-on experiments and prototypes for autonomous merge request authoring, test creation and triage, security remediation, release readiness, and incident response.
- Design reference architectures with orchestration patterns, safety guardrails, observability, and human-in-the-loop controls.
- Create evaluation frameworks and productivity metrics covering correctness, latency, safety, cost, cycle time, MTTR, and merge request throughput.
- Partner with Product, Architecture, Infrastructure, Data and ML, Security, Compliance, Reliability, and SRE teams to turn validated internal patterns into reliable customer-facing capabilities.
- Mentor Principal and Staff Engineers, document architecture decisions, and represent in conferences, standards groups, and open source communities.
Requirements
- 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, large language models, agentic frameworks, and autonomous workflow design at production scale.
- Experience with scalable, multi-tenant distributed systems, service decomposition, fault tolerance, observability, and operational resilience.
- Experience designing human-in-the-loop controls, safety guardrails, and responsible AI practices for production systems.
- Demonstrated ability to align Engineering, Product, Infrastructure, and Data and ML teams on complex technical challenges and influence direction across multiple teams.
- Ability to work effectively in a fully remote, globally distributed organization with strong written and asynchronous communication skills.
Nice to have
- Familiarity with ’s DevSecOps platform, CI/CD primitives, and the software development lifecycle.
Culture & Benefits
- Fully remote work with a globally distributed organization.
- Flexible paid time off.
- Health, financial, and well-being benefits.
- Equity compensation and an employee stock purchase plan.
- Growth and development fund, parental leave, and team member resource groups.
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