Experience/Skills: 2+ years of experience as an SRE with strong Kubernetes and GCP expertise
Location: Bangalore (Work from office)
What are we looking for?
We are looking for a curious Site Reliability Engineer to keep our Kubernetes and GCP platform reliable, secure and cost-effective. You are a natural tinkerer who likes understanding how systems work at a deep level, isn't afraid to experiment, and can explain technical trade-offs to engineers and non-technical stakeholders alike. You will also be our main point of contact with Google Cloud and other infrastructure providers.
Responsibilities:
• Design, run and scale containerized services on Kubernetes (GKE) on GCP
• Define and track SLIs and SLOs for critical services, and work with development teams to meet them
• Automate deployment, scaling and infrastructure management using GitOps (ArgoCD) and Helm
• Own observability: monitoring, logging and alerting
• Plan capacity, optimize performance and keep GCP costs in check
• Maintain disaster recovery and business continuity plans, and test them through chaos engineering and game days
• Own infrastructure security for Kubernetes clusters and GCP services: IAM least privilege, network policies, secrets management, vulnerability scanning and audit logging
• Document processes, runbooks, and best practices for maintaining system reliability
• Participate in the on-call rotation, lead incident response, and run blameless postmortems
• Use AI agents (Claude Code or similar) to write and review Terraform, Helm charts, runbooks and automation scripts
• Build AI-assisted ops tooling: alert triage, log and incident summaries, and first-pass root-cause analysis on observability data
• Set guardrails for AI in production: no agent gets write access to prod without review, credentials stay scoped, and every AI-driven change is auditable
• Act as the primary point of contact with Google Cloud and other providers, and keep our use
📌 Site Reliability Engineer (India)
🏢 Wealthy
📍 India
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