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Site Reliability Engineer - US Government

Palantir Technologies
Washington, USA
Full-time
Mid · 4+ years experience
Hybrid
USD 125000-185000 / year
Discovered 1 months ago
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Full Job Posting

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

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