Top Engineering Jobs in Austin, TX

Own and develop distributed database systems powering R2, Durable Objects, and Workers KV. Implement features, ensure correctness via review and testing, tune performance, optimize data placement and replication across edge topology, and build observability and tooling to operate storage globally across Cloudflare's network.

Design, implement, and operate Argo network software to improve reliability and performance. Work across lifecycle: design, code, tests, deployment, monitoring, and on-call. Collaborate with product, network engineering, and SRE teams; use systems-level programming and networking expertise to build secure, highly-available distributed systems and integrate AI-assisted tools into the engineering workflow.

The GTM Engineer will design and maintain AI-powered workflows, integrate APIs, and ensure data quality while improving sales processes.

Join the Egress team to contribute to Cloudflare's egress connectivity solutions. Responsibilities include system design, coding, troubleshooting, and collaboration with various teams.

The Senior Software Engineer will enhance egress connectivity in Cloudflare's network services, collaborate across teams, and support system health and operations.

The Solutions Engineer will lead technical engagements throughout the sales cycle, validating solutions, advising clients, and collaborating across teams to meet customer needs and drive business growth.

The role involves developing and maintaining distributed systems, building data pipelines, and supporting testing needs for products while collaborating with various teams.

Design, build, and operate a scalable logging and audit-log delivery platform. Develop high-performance connectors and integrations, ensure secure, compliant delivery to customer destinations, optimize pipeline throughput and latency, maintain operational health and monitoring, participate in on-call rotation, and collaborate on architecture and product requirements across teams.

Build and maintain high-throughput, low-latency distributed data systems across ingestion, storage, and retrieval. Optimize delivery pipelines, scale analytical database clusters (ClickHouse), develop GraphQL and log delivery solutions, monitor performance with observability tooling, troubleshoot production issues, and collaborate cross-functionally and with open-source communities to evolve the data platform.

Build, scale, and maintain a high-performance analytical database platform (ClickHouse) for real-time analytics. Develop platform components, add clusters, optimize query performance and ingestion, troubleshoot reliability issues, collaborate across teams and with the ClickHouse open-source community, and research next-generation database engine improvements.