# Software Engineer, Infrastructure - Analytics Platform

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** DevOps / SRE
**Salary:** $230k – $385k/yr
**Skills:** Rust, C++, Kubernetes, Distributed Systems, ClickHouse, Observability, Profiling, Networking, Concurrency, Async Execution
**Posted:** 2026-04-11

> Owns end-to-end production-critical infrastructure for analytics platform, building performant backend systems in Rust or C++ and operating distributed services at scale on Kubernetes. Requires strong systems experience in performance optimization, debugging, and on-call reliability.

## Job Description

## Responsibilities
- Own critical infrastructure across design, implementation, rollout, operation, and iteration.
- Build and operate performant backend systems in Rust or C++ that support core research workflows.
- Design and improve distributed data and serving systems, including tradeoffs around partitioning, replication, consistency, retries, backpressure, and failure isolation.
- Debug real production bottlenecks across latency, throughput, contention, hot spots, and overload behavior.
- Operate business-critical services through on-call, incidents, postmortems, observability, rollout safety, and zero-downtime migrations.
- Improve reliability of services running on **Kubernetes**, including resource tuning and failure handling.
- Partner closely with engineers and researchers to deliver fast, reliable, useful systems.
- Raise the bar through strong technical judgment, ownership, and follow-through.

## Requirements
- Track record of owning operationally critical systems end to end and delivering outcomes in ambiguous environments.
- Strong hands-on experience building performance-sensitive backend systems in **Rust** or **C++**.
- Comfort working below typical service abstractions, including concurrency, async execution, memory behavior, serialization, I/O, networking, profiling, and failure analysis.
- Experience designing, building, or operating distributed systems or distributed databases at meaningful scale.
- Hands-on experience operating production-critical systems, including incidents, observability, rollout safety, and recurrence prevention.
- Strong judgment in balancing engineering quality, speed, risk, and business impact.
- Habit of shipping practical first versions and improving them through production feedback.

## Preferred
- Experience with **ClickHouse**-like systems or infrastructure for analytics, telemetry, logging, search, ingestion, storage, or query execution.

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