Senior Site Reliability Engineer, AIOPs

What you'll do

• Monitor platform health via dashboards, logs, and metrics to ensure reliability and resource efficiency.
• Own Kubernetes deployments end-to-end, including runbooks, canary checks, and post-deploy validation.
• Lead first-level incident triage by collecting diagnostics and identifying root causes for engineering teams.
• Manage deployment infrastructure and packaging using Helm and Terraform/IaC for scalable environments.
• Own SLOs/SLIs and perform postmortems for telemetry ingestion, processing, storage, and APIs.
• Build and maintain runbooks, SOPs, and checklists to drive continuous improvement through automation.
• Translate platform signals into actionable alerts and automation in partnership with engineering teams.

What we're looking for

• BS/MS in CS/CE or equivalent experience.
• 5+ years of experience operating production distributed systems as SRE/DevOps/Platform Ops.
• Proven ownership of reliability for an observability/AIOps platform, including SLOs/SLIs, on-call, and incident response.
• Deep experience with Kubernetes and containers for deploying, debugging, and scaling telemetry-heavy microservices.
• Proficiency in scripting (Python/Bash), CI/CD, and infrastructure-as-code using Terraform and Helm.
• Strong Linux and networking fundamentals, distributed systems instincts, and experience with streaming stacks (preferred).
• Experience with observability platforms like Prometheus and Grafana, and distributed systems like Kafka or ClickHouse (preferred).
• Proven programming experience building automation tools or services in Python or similar languages (preferred).