Site Reliability Engineer

Team & Project FocusThis SRE team supports Machine Learning (ML) serving and pipelines at massive scale. The environment is high‑load, fast‑moving, and constantly evolving. The team is currently driving a major migration from a legacy stack to a next‑generation stack.

This role is not about building ML models. Instead, you’ll manage the plumbing of data protocols across microservices, ensuring reliability and scalability.

Key Project GoalsMigration Support: Assist in systematically moving users, technologies, and internal clients from legacy services to the new stack.

Toil & Ticket Mitigation: Categorize and resolve a high volume of tickets and novel bugs across both old and new services.

Documentation to Automation: Create clear playbooks and runbooks for self‑service, with the long‑term goal of transitioning manual processes into automation.

Ideal Candidate

• Profile
• The team values capability and mindset over tenure.
• Candidates from non‑traditional backgrounds, career switchers, and junior engineers (1–2 years out of school) are welcome—provided they demonstrate strong end‑to‑end execution.
• Core Attributes
• High Communication

Skills

• Ability to explain complex issues simply, from “5‑year‑old intern” clarity to deep technical dives.
• Willingness to Learn: Comfort with ambiguity and novel bugs; proactive and inquisitive mindset.
• Bias for Action: Bravery to jump in, experiment, fail fast, and fix.
• Technical

Requirements

• Language Agnostic: Comfortable reading and reverse‑engineering code in Python, Java, C++, Go, Rust, etc.
• Microservices Architecture: Understanding of how services interact, especially moving protocol buffers (protos).
• Fast Adaptability: Ability to quickly learn bespoke internal tools
• Nice‑to‑Haves: Experience with automation scripts or agentic workflows (not required).