DevOps engineer

Описания нет

• Run reliable, secure infrastructure with AI agents as the first line of SRE
• Build and review Kubernetes, CI/CD, and infrastructure-as-code systems with AI coding agents
• Build and run MCP servers that provide agents with safe access to Kubernetes, AWS, logs, metrics, and databases, read-only by default
• Use AI to triage alerts, analyze root causes across logs, metrics, and traces, and draft incident timelines and postmortems
• Turn runbooks into agent-executable workflows, with human approval for risky actions
• Manage monitoring, alerting, on-call, database operations, backups, and disaster recovery

• 3+ Years of DevOps / SRE experience
• Experience with Kubernetes, Terraform, and AWS
• Experience with Prometheus / Grafana, Loki / ELK, or similar observability stacks
• Daily use of AI agents for infrastructure work
• Hands-on experience configuring and using MCP servers for infrastructure / observability tools
• Security mindset for agent access, including least privilege, audit logs, and secrets handling
• Experience building a custom MCP server or operations agent
• Hands-on experience with AI SRE tools such as k8sgpt, HolmesGPT, and AI features in Datadog / PagerDuty / incident.io
• Будет плюсом: OpenTelemetry, PostgreSQL / Aurora operations

• An attractive remuneration package based on qualifications and experience
• Continuous learning and development opportunities
• Company-wide events and team activities
• Wolt monthly allowance
• Free snacks, fruits, and beverages
• Medical and wellness app supporting mental and physical well-being