"distributed systems" Jobs
502 open tech roles matching “distributed systems”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 502 results
Lead the Compute Platform team at Reflection AI, focusing on multi-cloud scheduling and GPU deployments while mentoring a team of systems engineers.
Lead the data engineering team at Pivotal Health to modernize and scale their data infrastructure for healthcare reimbursement solutions.
Lead the engineering team for Aptos' Payments Product, defining the business and building the Payment API.
Lead the Data Streaming team at Braze, driving the development of a managed data streaming platform with a focus on reliability and developer experience.
Lead a technical team to enhance Verkada's on-camera storage systems while ensuring reliability and operational excellence.
Lead a team in developing advanced algorithms for multi-agent systems in a mission-driven environment.
Lead a team of SREs to ensure the reliability and performance of LayerZero's blockchain infrastructure.
Lead a team building and operating large-scale distributed systems at GitLab, focusing on integration and operational excellence.
Lead and scale a high-performing engineering team building the core infrastructure behind PermitFlow.
Lead Level 2 Data Center NOC Engineer responsible for technical leadership and operational ownership in modular and distributed data center environments.
Lead the automation and controls engineering team for power generation projects at SpaceX's Starbase facility.
Lead the Notifications Platform team at Reddit, shaping systems for reliable and scalable notification services.
Lead a team of engineers to enhance serverless APM capabilities at Datadog, focusing on cross-cloud instrumentation.
Lead a team of engineers to enhance automated review systems and improve safety processing at Discord.
Lead SDET for the Pulse team, focusing on quality and performance of large-scale data systems through test automation and collaboration.