Crusoe Energy Systemsposted 16 days ago
$131,000 - $184,000/Yr
Full-time • Entry Level
San Francisco, CA
Professional, Scientific, and Technical Services

About the position

Crusoe is building the World's Favorite AI-first Cloud infrastructure company. We're pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the 'gold standard' for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure.

Responsibilities

  • Partner with the broader engineering organization to build and define standard practices for how services are operated and observed throughout their lifecycle.
  • Establish an opinionated, flexible and cost-effective toolchain for delivering customer value at scale.
  • Fully integrate Crusoe's developer systems to keep our developers in the flow state, ruthlessly eliminating toil that slows us down.
  • Immerse yourself in the developer experience so that you can identify and eliminate pain points.
  • Create libraries, tools, and pre-production environments for vetting service APIs and interactions between microservices.
  • Unify both internal tooling and vendor services to automate, build efficiency, and optimize security.
  • Innovate across the development lifecycle from source code, editors, build, CI, CD, platform runtime environments, telemetry, optimizations, monitoring and alerting.
  • Establish a culture of continuous quality delivery that scales as Crusoe scales.
  • Work diligently to build quality, efficient systems and processes to increase the impact of engineers around you.

Requirements

  • Expertise in understanding technical decisions, evaluating tradeoffs, and how these decisions impact individuals who will use what you build to optimize their work.
  • Knowledgeable on how to leverage Gitlab to work with multiple repositories or Github.
  • Fluent knowledge of industry-standard build tooling, containerization, and open source development tools, libraries, and frameworks.
  • Experience working with modern build systems like Buck, Bazel, or others.
  • Professional experience working with Kubernetes clusters or Kubernetes in general.
  • Understanding of testing infrastructure.
  • Experience with DevOps, Site Reliability, Release Engineering, or similar.
  • Experience in relevant and modern open source programming languages (we use Golang).
  • Empathy for building developer and operator workflows and productivity.
  • Passion for staying current on recent industry practices, open source advancements and an efficient developer community.
  • Enjoy solving complex problems and then automating the solutions.
  • Hold either a BS or MS Degree in an Engineering or Analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science) or equivalent experience.

Nice-to-haves

  • Hands on working experience with Linux image construction - not just kernel but package building.

Benefits

  • Hybrid work schedule
  • Industry competitive pay
  • Restricted Stock Units in a fast growing, well-funded technology company
  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
  • Employer contributions to HSA accounts
  • Paid Parental Leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc
  • 401(k) with a 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement
  • Subscription to the Calm app
  • MetLife Legal
  • Company paid commuter benefit; $100 per pay period
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