Palantir
Software Engineer - Apollo Systems
About this role
Join Palantir's Apollo team as a Software Engineer to build distributed systems for autonomous software deployment and management across diverse environments. You'll design backup/restore solutions for Kubernetes clusters, optimize container artifact storage, and enable rapid cluster reconstruction at scale.
What you'll do
- Build and operate large-scale distributed systems for remote Kubernetes cluster operation and maintenance
- Design and implement backup and restore solutions for Kubernetes with proprietary compression
- Develop and optimize OCI-compliant container artifact storage and distribution systems
- Solve distributed systems challenges for edge computing and diverse hardware deployments
- Own the full development lifecycle from design through implementation and production support
- Collaborate with technical and non-technical stakeholders on infrastructure solutions
What they're looking for
- Kubernetes and container technologies (Docker, OCI)
- Distributed systems design and optimization
- Storage systems and compression algorithms
- Low-level performance optimization
- Cloud infrastructure (on-prem, public cloud, air-gapped networks)
- Software deployment and continuous delivery
- Full-stack development and system architecture
- Problem-solving at scale
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Palantir
Palantir builds data platforms and software solutions that help government and enterprise customers tackle complex operational challenges, with a focus on responsible AI governance and privacy. The company is hiring software engineers and interns for forward-deployed customer roles, infrastructure and platform teams, and specialized privacy and civil liberties engineering positions.
- Website
- palantir.com
Likely interview questions
- Describe your experience with Kubernetes and distributed systems. Have you worked on backup/restore solutions or state management at scale?
- Tell us about a time you optimized a storage or artifact system for performance. What metrics did you focus on and how did you approach bottlenecks?