4 дня назад
Staff Software Infrastructure Engineer (AI)
155 000 - 235 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Infrastructure Engineer (AI): Building reliable automation for diagnosing and resolving CI/CD failures, release pipelines, and compute and storage systems across cloud and on-prem environments with an accent on AI-assisted triage, release engineering, and scalable architecture. Focus on identifying regressions and flaky hardware, tracing failures to specific merges, reducing developer toil, and driving infrastructure best practices across engineering teams.
Location: Santa Clara, United States; hybrid
Salary: $155K–$235K annually, plus equity and bonus opportunities
Company
develops software and hardware focused on generative AI and technology infrastructure.
What you will do
- Design and build production-grade automation to diagnose and resolve CI/CD pipeline failures, including regressions, flaky hardware, and infrastructure issues.
- Develop methods to identify which merges caused failures in long-running test suites.
- Combine AI techniques with deterministic automation to improve pipeline reliability.
- Architect scalable compute and storage for build and test workloads across cloud and on-prem environments.
- Own release engineering practices, including versioning, component release trains, and compatibility matrices.
- Partner with software development and Quality Engineering teams to reduce developer toil and drive adoption of tooling and best practices.
Requirements
- Track record of reducing toil or time-to-signal through automation in CI, release, or developer-tooling environments.
- Release engineering experience with versioning systems, independent component releases, and compatibility matrices.
- Strong software engineering fundamentals and experience building production-grade automation.
- Architectural judgment when balancing AI with deterministic software and compute availability with data locality.
- Experience driving tooling and best-practice adoption across teams without direct reporting relationships.
- Hands-on experience with CI/CD systems, containerized workloads, virtual machines, Kubernetes, distributed-system observability, or host-level systems investigation.
Nice to have
- Experience with GitLab CI and merge-train workflows at scale.
- Experience building LLM-based agents or developer-workflow tools for CI triage or code review.
- Experience with semantic versioning or independently versioned multi-component release systems.
Culture & Benefits
- Collaborative and inclusive environment centered on respect, humility, and direct communication.
- Medical, dental, and vision coverage.
- 401(k) and an employee rewards program focused on wellbeing.
- Performance-based incentive opportunities, including equity and bonus compensation.
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