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Software Engineer - Infrastructure (Technical Leadership)

Meta· Engineering
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Remote$271k - $347kFull-timePosted 3w ago

About the role

Software Engineer role focused on building AI-driven agentic reliability systems to autonomously investigate production incidents, mitigate issues, and improve infrastructure operations at Meta. Hands-on senior IC responsible for prototyping, building, evaluating, and shipping AI systems in production with human supervision.

Responsibilities

  • Define the technical vision and architecture for agentic reliability systems across Meta
  • Personally design, code, and ship production agentic systems for complex infrastructure problems
  • Lead the development of an AI agent for production incident investigation and mitigation, advancing it toward accurate, trusted, and safely supervised autonomous action
  • Develop major improvements in agent reasoning, context, tool use, planning, evaluation, learning, and safe execution
  • Explore and apply techniques including automated hill climbing, fine-tuning, reinforcement learning, model routing, distillation, pruning, and inference optimization, selecting the simplest approach that produces measurable gains
  • Identify new high-value applications of AI across incident prevention, detection, mitigation, observability, and infrastructure operations
  • Move rapidly from ambiguous problems to prototypes, validate them against real production workloads, and develop successful approaches into reliable systems at scale
  • Build evaluation and experimentation systems that connect agent quality to outcomes such as investigation accuracy, successful mitigation, incident duration, and reduced operational work
  • Build closed-loop improvement systems that turn production outcomes into evaluations, experiments, and better agent behavior
  • Establish architectures and guardrails for production actions, including authorization, independent validation, auditability, rollback, and human oversight
  • Partner with Infrastructure, AI, Product, and Reliability leaders to integrate agentic capabilities into Meta’s production ecosystem
  • Influence technical strategy across organizations and mentor other engineers working on distributed systems and applied AI

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 12+ years of software engineering experience, including experience building and operating large-scale distributed or infrastructure systems
  • Experience setting technical direction and leading complex, multi-year engineering efforts across organizational boundaries
  • Experience applying AI or machine learning systems to production problems
  • Demonstrated experience moving from technical concept to production deployment and measurable impact
  • Experience diagnosing complex production systems using telemetry, code, configuration, and dependency information
  • Experience coding in languages such as C++, Java, Python, Rust, or equivalent
  • Recent hands-on experience building and shipping complex production systems, with the ability to move directly between architecture, experimentation, debugging, and implementation
  • Experience influencing senior engineers and leaders without direct organizational authority

Skills

Required:Technical leadershipDistributed systemsAI/ML in productionProgramming languagesExperimentation & evaluation

Benefits

  • Benefit information referenced but not enumerated in the description; see posting for details.
Last updated Oct 23, 2026. Interested? Apply on the company site.

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