Senior Site Reliability Engineer, AIOPs

What you'll do

• Monitor platform health via dashboards and logs while automating recurring checks to ensure reliability and resource efficiency.
• Manage end-to-end Kubernetes deployments including runbooks, canary checks, post-deploy validation, and rollbacks.
• Lead first-level incident triage by collecting diagnostics, identifying root causes, and providing actionable findings to engineering teams.
• Own SLOs/SLIs for telemetry ingestion, processing, storage, and the associated APIs and dashboards.
• Manage deployment infrastructure and packaging using Helm and Terraform to ensure scalable and reproducible environments.
• Develop and maintain runbooks, SOPs, and checklists to drive continuous improvement through automation.
• Translate platform signals into trustworthy alerts and automated actions in partnership with software and systems engineering teams.

What we're looking for

• BS/MS in Computer Science, Computer Engineering, or equivalent experience.
• 5+ years of experience operating production distributed systems as an SRE, DevOps, or Platform Ops engineer.
• Proven ownership of reliability for observability or AIOps platforms including SLOs, SLIs, and incident response.
• Deep experience with Kubernetes and containers for deploying, debugging, and scaling telemetry-heavy microservices.
• Proficiency in automation using Python, Bash, CI/CD pipelines, and Infrastructure as Code (Terraform and Helm).
• Strong Linux and networking fundamentals with experience in distributed systems and streaming stacks like Kafka or Pulsar.
• Experience managing large-scale production deployments across multiple Kubernetes environments and clusters.
• Ability to communicate clearly and translate ambiguous requirements into technical documentation and operational practices.