"storage systems" Jobs
259 open tech roles matching “storage systems”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 259 results
Join Perplexity AI's Infrastructure team to tackle cross-cutting problems in backend systems and enhance user experience.
Lead financial planning and decision support for compute and storage infrastructure at Atoms, driving real-world impact.
Join Atoms as a Supply Chain Manager to optimize procurement and logistics for autonomous vehicle data-collection systems.
Join Patreon as a Staff Software Engineer to architect and build scalable data infrastructure for a leading creator platform.
Design and implement distributed systems for Lakeflow pipelines to ensure resilience during infrastructure failures.
Lead the supply chain operations for Atoms, building the backbone for industrial-scale AV fleet deployment.
Join Atoms as a Shipping Clerk to manage shipping operations for advanced autonomous technology systems in a fast-paced warehouse environment.
Join the Infrastructure team to build and operate foundational systems that support Perplexity’s products.
Join Cogent Security as a Senior+ Infrastructure Engineer to build a secure and reliable foundation for AI-driven cybersecurity products.
Join Verse as a Fullstack Software Engineer to develop innovative energy solutions for the AI economy in a hybrid work environment.
Join Baseten as a Software Engineer on the Observability team to enhance the reliability of AI product systems.
Join Judgment Labs as a Senior Backend Engineer to build infrastructure for AI agents in a fast-paced, onsite environment in San Francisco.
Join CoreWeave as a Senior IT Systems Engineer to build and operate cloud infrastructure across GCP, Azure, and AWS.
Build and scale the application and data infrastructure for a platform supporting 70M+ users in a collaborative environment.
Join Baseten as a Software Engineer to architect and develop scalable infrastructure for ML training platforms.