"real time data infrastructure" Jobs
4231 open tech roles matching “real time data infrastructure”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AWS, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 4231 results
Join Databento as a Software Engineer to develop high-performance applications in C++ and Rust for the financial industry.
Join Instacart as a Staff Software Engineer to lead the architecture of our data governance and lakehouse foundation in a fully remote role.
Join Applied Intuition as a Senior Software Engineer to enhance cloud infrastructure for large-scale simulations in autonomous systems.
Architect and scale Imprint's core data platform while leading engineering practices and adopting AI-assisted workflows.
Build data infrastructure at fal to enhance cost, margin, and performance analytics in a fast-paced generative media ecosystem.
Join Databricks as a Senior Software Engineer to build infrastructure for AI applications and improve distributed AI workloads.
Lead the backend architecture for a mission-critical air traffic control system in a dynamic and safety-critical environment.
Join Verkada as a Senior Software Engineer to build data infrastructure and empower teams with data-driven insights.
Join Harvey AI as a Senior Software Engineer to build a robust data platform that empowers teams to work with data confidently and independently.
Join Harvey AI as a Senior Software Engineer to build a robust data platform that empowers teams to work with data confidently and independently.
Join Databento as a Software Engineer to develop high-performance applications in C++ and maintain a robust Java client library.
Take ownership of massive data ingestion pipelines in a remote-first team at a fast-growing revenue management platform.
Join InfluxData as a DevOps Engineer to enhance Kubernetes infrastructure in a supportive, remote-first environment.
Join Onehouse as a Backend Engineer to tackle technical challenges in building a cloud-native managed data lakehouse.