Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Senior backend engineer building the product core of a marketing/advertising data platform: composable pipeline 'Reactors', connectors and validation for messy marketing data, and the backend/GraphQL API exposing it. Daily work centers on Python, PostgreSQL, Temporal, NATS/Kafka, and GraphQL.
A senior backend engineer builds composable, self-correcting ETL/ELT data pipelines that customers rely on, and shapes the backend/GraphQL API surface. Day to day: implementing Reactors, connectors, and validation in modern Python with Temporal and NATS, collaborating with product and data science in sprint cycles.
Senior backend performance engineer optimizing high-throughput data pipelines: profiling bottlenecks, rewriting hot paths in C/C++, Cython, or Rust, and applying GPU (CUDA) acceleration where it pays off, with parallelism, memory, and CI-based performance-regression work. Based in San Francisco on a Python-heavy data stack with PostgreSQL.
Profile bottlenecks and write performance-critical code for high-throughput, low-latency data pipelines using C/C++, Python, and GPU-accelerated compute.
We couldn't check your fit for this role — add a CV to your profile to see it next time.