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130 open listings · Page 6 of 6
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
Together AI
Full-time · San Francisco, CA · $180,000 – $250,000
You'll own the CI/CD pipelines, release systems, and developer tooling that keep Together AI's engineering team shipping fast and reliably. This is a full-stack systems engineering role for someone who enjoys building infrastructure that removes friction and lets other engineers focus on products.
Listed on Together AI’s careers site · Apply there ↗
LSEG
A senior hands-on reliability engineer will lead the establishment of SRE foundations, define observability standards, and collaborate across architecture and engineering teams to embed reliability into systems from inception. This role suits an experienced infrastructure expert comfortable with technical leadership, incident response, and mentoring while working across global teams in a financial markets organization.
Listed on LSEG’s careers site · Apply there ↗
Comcast
Reston, VA · $120,213 – $180,319
This role involves designing and developing Kubernetes-based platform solutions while mentoring junior engineers and ensuring software quality. It suits experienced platform engineers comfortable with cloud infrastructure, containers, and infrastructure-as-code who want to take on technical leadership responsibilities.
Listed on Comcast’s careers site · Apply there ↗
CrowdStrike
Full-time · Sunnyvale, CA · $120,000 – $180,000
CrowdStrike seeks an SDET to design and operate test automation infrastructure for their authentication and authorization platform, which processes trillions of security decisions daily. This role suits engineers with deep distributed-systems knowledge who want to work on security-critical systems at massive scale.
Listed on CrowdStrike’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $220,000 – $290,000
Together AI seeks a senior backend engineer to design and operate the infrastructure layer of their AI cloud platform, managing GPU clusters and distributed systems across global data centers. This role suits experienced systems engineers comfortable with Kubernetes, networking, and cloud infrastructure at scale.
Listed on Together AI’s careers site · Apply there ↗