DevOps Engineer

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Description

We are looking for a DevOps Engineer to run reliable, secure infrastructure with AI agents as the first line of SRE. Key Responsibilities • Kubernetes, CI/CD and infrastructure as code, written and reviewed with AI coding agents. • Build and run MCP servers that give agents safe access to Kubernetes, AWS, logs, metrics and databases (read-only by default). • Agentic SRE: AI triage of alerts, root-cause analysis across logs / metrics / traces, auto-drafted incident timelines and postmortems. • Turn runbooks into agent-executable workflows, with human approval for risky actions. • Monitoring, alerting and on-call; database ops, backups and DR. Required Experience: • 3+ yrs DevOps / SRE. • Kubernetes, Terraform, AWS. • Observability stack: Prometheus / Grafana, Loki / ELK or similar. • Daily use of AI agents for infra work. • Hands-on with MCP: has configured and used MCP servers for infra / observability tools. • Security mindset for agent access: least privilege, audit logs, secrets handling. • Has built a custom MCP server or ops agent. • Hands-on with AI SRE tools (k8sgpt, HolmesGPT, AI features in Datadog / PagerDuty / incident.io). Nice to Have: • OpenTelemetry. • PostgreSQL / Aurora operations. By joining us, you can expect: A unique opportunity to build a career in a global, fast-growing company. An attractive remuneration package, based on qualifications and experience. Continuous learning and development opportunities. Company-wide events and team activities, fosterin

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