Palantir

Site Reliability Engineer - US Government

Palantir

Washington, D.C.
Full-time

Core Responsibilities

  • Maintaining availability of cloud & physical Linux servers that power the Palantir platform in air-gapped production environments
  • Design, deploy, and operate infrastructure to support customer & product requirements via modern orchestration & monitoring platforms.
  • Collaborate closely with product teams on requirements & SLOs for deploying software into air-gapped environments.
  • Identifying, troubleshooting, and solving network & systems issues
  • Scripting to automate away routine operational tasks
  • Provide technical troubleshooting support for production issues, ensuring timely resolution and minimal impact on operations. Participate in a support on-call schedule

What We Value

  • Confidence in troubleshooting complex systems issues independently using stack traces and observability & systems tools
  • Comfort with managing large scale production systems and technologies with configuration management, load balancing, monitoring & alerting infrastructure, and container orchestration
  • Demonstrated ability to continuously learn and work independently, making decisions with minimal supervision while working in secure facilities
  • Experience with containers (Docker/Podman) and orchestration (OpenShift/Kubernetes) at scale is a plus
  • Preferred Certifications: DOD 8570 IAT Level II or greater (CISSP, Sec+), Unix/Linux Computing Environment (e.g Linux+, RHCE)

What We Require

  • Active security clearance
  • 4+ years of experience with Linux system administration (RHEL or equivalent preferred)
  • Experience with cloud-based hosting platforms like AWS, Azure, or GCP and/or experience with hardware-based environments
  • Familiarity with monitoring systems using tools like Prometheus and writing health checks
  • Proficiency with at least one programming language, such as Java, Go, Python, JavaScript, Bash, or similar languages.
  • Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science