Full-Time Senior Site Reliability Engineer

• Implement an AI‑driven observability and metrics platform.
• Enhance system observability, reliability, and efficiency using off-the-shelf technology combined with internal tools developed in Python and Go.
• Build out more products for our Product Development teams like observability modules.
• Improve incident readiness with better tooling and the right hygiene practices.
• Engage with feature development teams in toil reduction exercises, capacity planning, load testing, SLO process, and other best practices.
• Improve the velocity and quality of our developer platform and tooling.
• General AI fluency desired.

• Ship automation and tooling that reduces toil, with high-quality, well-structured code.
• Design and codify self-healing workflows and guardrails to minimize toil and improve reliability.
• Steward SLO dashboards enhanced with AI/ML-assisted insights.
• Integrate load-testing into reliability engineering efforts.
• Partner with product teams to replace manual capacity planning with predictive/AI-driven scaling models and implement burn-rate based alerting.
• Coach and mentor engineers; champion best practices and pragmatic reliability trade-offs.

• Teach and inspire other engineering team members through knowledge sharing, pair programming, and giving feedback during code reviews
• Propose and implement one or more process improvements related to reliability and observability
• Deliver a proof-of-concept for an AIOps initiative

• Highly proficient in shipping backend code in high-quality production environments.
• Hands-on expertise with automation and infrastructure-as-code (Terraform modules preferred).
• Experience designing and implementing highly observable, scalable systems.
• Applied and general AI fluency.
• Growth mindset and craftsmanship.

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