СШАStaff Software Engineer, Developer Automation
6 дн. назад
155k–235k USD / годСШАLeadHybrid
ci/cdautomationaisoftware infrastructure
Staff Software Engineer focused on automating and improving CI/CD and release pipelines using AI and software infrastructure innovations.
Обязанности
- Software Infrastructure owns the CI/CD and release pipeline that every engineer ships through. As a Staff-level individual contributor, you will drive the automation that diagnoses and fixes pipeline failures, such as deciding whether a failed CI job is a real regression, a flaky card, or an infrastructure issue, and identifying which merge broke an overnight test run. Rapid company growth and AI-accelerated development are increasing development velocity, and the pipeline from product through dev, test, and release must keep pace.
- You will blend modern AI techniques with traditional software automation to build highly reliable systems, and shape the architecture for compute and storage across an environment that spans cloud to on-prem, from firmware updates to rack-scale performance testing. You will partner with the Software Infrastructure team, development groups, and Quality Engineering to develop and spread best practices across the organization.
- This role is not primarily an AI agent role, and it is not a DevOps role. Kubernetes and systems skills are valued but are not the focus.
- Design and build automation that diagnoses and resolves CI/CD pipeline failures, including classification of regressions, flaky hardware, and infrastructure issues.
- Develop automated methods to identify which merges cause failures in long-running test suites.
- Evaluate and integrate AI techniques alongside deterministic automation to maximize reliability.
- Architect scalable compute and storage for build and test workloads across cloud and on-prem environments.
- Own release engineering practices, including versioning schemes, independent component release trains, and compatibility matrices.
- Reduce developer toil and time-to-signal across the product, dev, test, and release pipeline.
- Partner with development groups and Quality Engineering to drive adoption of new tooling and best practices.
Будет плюсом
- Experience with GitLab CI and merge-train workflows at scale.
- Hands-on experience building LLM-based agents or tools for developer workflows, such as CI triage or code review.
- Experience with semantic versioning or independently versioned multi-component release systems.
- Experience as a user of CI/CD systems, with an understanding of the developer-customer perspective.
- Hands-on experience with containerized workloads, VMs, and Kubernetes.
- Experience with observability of distributed systems, including metrics, logging, reporting, and alerting.
- Systems administration skills for investigating host-level issues.
Другое
- At , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
- We value humility and believe in direct communication. Our team is inclusive , and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together , we can help shape the endless possibilities of AI.
- Track record of building automation that measurably reduced toil or time-to-signal in a CI, release, or dev-tooling context.
- Release engineering experience, including versioning schemes, independent component release trains, and compatibility matrices.
- Architectural judgment on trade-offs such as AI versus deterministic software, and compute availability versus data locality.
- Strong software engineering fundamentals, with experience building production-grade automation rather than scripts.
- Track record of driving adoption of new tooling and best practices across teams that do not report to you.