Builds and scales backend systems for real-time telemetry data ingestion, storage, and serving at massive scale. Requires 7+ years experience with Go/Rust/Python, distributed systems, SQL, APIs, and Kubernetes.
200k – 250k/yr
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About the role
Responsibilities
Design, build, and operate backend systems that process and store large volumes of real-time telemetry data.
Own features end-to-end, from design to post-launch improvement.
Collaborate with Frontend, Design, and Data teams to ensure features solve real customer problems.
Optimize backend systems for performance, scalability, and reliability.
Contribute to system evolution—migrating services, introducing caches, and improving storage or indexing layers.
Participate in on-call rotations, debugging live issues, and improving observability.
Raise the bar through code reviews, shared patterns, and mentorship.
Requirements
Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline.
7+ years of experience in backend or infrastructure roles.
Strong understanding of distributed systems fundamentals—state, fault tolerance, recovery.
Experience with Go, Rust, or Python, and strong Linux/networking fundamentals.
Deep knowledge of SQL and operational database experience (indexing, migrations, tuning).
Experience building and scaling APIs (REST, gRPC/Protobuf).
Strong debugging skills and a production-first mindset.
Familiarity with Kubernetes, Prometheus, Argo CD, and other modern infrastructure tools.
Nice-to-Haves
Experience with streaming or time-series data systems (Kafka, Flink, TimescaleDB, etc.).
Experience with performance tuning and profiling at query or service layers.
Familiarity with observability tools (Datadog, Grafana).
Background in hardware or telemetry-heavy environments.
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