Software Engineer - Infrastructure (Technical Leadership)

What you'll do

• Set technical direction and build, evaluate, and ship production agentic reliability systems.
• Improve agent reasoning, tools, learning, evaluation, and safe execution; connect production outcomes to ongoing improvement.
• Establish safeguards for production actions and integrate systems with infrastructure, AI, product, and reliability teams.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 12+ years of software engineering experience, including building and operating large-scale distributed or infrastructure systems.
• Experience applying AI or machine learning to production problems and taking systems from concept to deployment with measurable impact.
• Experience setting technical direction, leading complex engineering efforts, and building systems for hyperscale environments with strict reliability and latency requirements.

Nice to have

• Experience building production AI agents or self-improving systems.
• Deep expertise in observability, incident response, change safety, distributed systems, or production infrastructure.

Pay

$271,000/year to $347,000/year USD base salary; bonus + equity (amount not stated)

Tools

C++, Java, Python, Rust

AI focus

Build and improve production AI agents for incident investigation and mitigation, including agent reasoning, tool use, evaluation, learning, fine-tuning, reinforcement learning, model routing, distillation, pruning, and inference optimization.