Meta
Software Engineer, AI for Incident Response (Technical Leadership)
$219K–$301K
Menlo Park, CA · Full-time · Posted Oct 23, 2026
- Experience
- 10+ years of software engineering experience, including experience building and operating large-scale distributed, infrastructure, or production AI systems.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
About the job
Leads the technical direction and hands-on development of an AI agent that investigates production incidents, proposes and executes safe mitigations, and supports human responders.
What you'll do
- Design, code, evaluate, and ship agent capabilities, including reasoning, tools, context, memory, and evaluation systems.
- Build transparent, multi-turn responder experiences and systems for human-supervised, progressively autonomous incident mitigation.
- Lead cross-team technical strategy, improve agent quality from production outcomes, and ensure reliability, security, privacy, and scale.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 10+ years of software engineering experience, including building and operating large-scale distributed, infrastructure, or production AI systems.
- Experience setting technical direction across teams; applying AI to production problems at scale; and building critical, always-on production systems.
- Recent hands-on experience shipping complex production systems; coding in C++, Java, Python, Rust, or equivalent.
Nice to have
- Experience with incident management, SRE, observability, on-call operations, or automated remediation at significant scale.
- Experience building production AI agents, multi-turn human-agent workflows, and safely authorized autonomous production actions.
Pay
$219,000/year to $301,000/year (base salary)
Tools
C++, Java, Python, Rust
AI focus
Builds and improves production AI agents for incident investigation and mitigation, including evaluation, experimentation, human oversight, and progressive autonomy.
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