1 day ago
Base Salary
$219k - $301k/yr
Responsibilities
- Define the technical vision, architecture, and execution roadmap for AI-powered incident investigation and mitigation.
- Design, code, evaluate, and ship major capabilities in a production agentic system.
- Improve root-cause accuracy through reasoning, skills, tool use, context, memory, planning, and domain knowledge.
- Build offline evaluation, historical replay, online experimentation, and closed-loop learning systems.
- Create a transparent multi-turn responder experience for collaborative investigation and agent-led guidance.
- Enable reasoning across telemetry, code, configuration, deployments, service dependencies, operational knowledge, and incident history.
- Advance progressive autonomy with authorization, validation, auditability, rollback, escalation, and human oversight.
- Build an extensible platform supporting shared capabilities and domain-specific skills, tools, and agents.
- Partner with on-call engineers, reliability experts, product groups, data science, and product management to drive adoption and operational impact.
- Ensure high standards for reliability, latency, scale, security, privacy, and cost.
- Lead senior engineers across organizational boundaries and mentor engineers working in distributed systems and applied AI.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or 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 and leading complex engineering efforts across multiple teams or organizational boundaries.
- Experience applying AI to production problems at scale, including evaluating system quality and failure modes.
- Recent hands-on experience designing, coding, debugging, and shipping complex production systems.
- Experience building systems supporting critical, always-on production workloads.
- Experience diagnosing complex production systems using telemetry, code, configuration, deployments, and dependency information.
- Experience translating customer needs into technical architecture and driving adoption of a platform or developer product.
- Experience coding in C++, Java, Python, Rust, or equivalent.
- Experience influencing senior engineers and leaders without direct organizational authority.
- Preferred experience with context engineering, skills, memory, evaluation, automated experimentation, hill climbing, fine-tuning, or reinforcement learning.
- Preferred experience building multi-turn human-agent experiences, production AI agents, autonomous or semi-autonomous production actions, and extensible platforms.
- Preferred experience with incident management, SRE, observability, on-call operations, automated remediation, and responsible AI practices.
- Preferred demonstrated ability to integrate AI tools, develop AI skills, orchestrate agents, and drive measurable workflow improvements.
Benefits
- The posting states $219,000/year to $301,000/year plus bonus, equity, and benefits.
- The role offers the opportunity to work on self-healing infrastructure at Meta scale and influence technical strategy across organizations.
Categories
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.