Senior AI-assisted DevOps Engineer

1 month ago

Remote, AmericasSenior

Responsibilities

Manage and evolve AWS/Azure cloud infrastructure and Kubernetes clusters, including capacity planning, autoscaling, reliability, and incident response.
Design scalable infrastructure supporting AI-driven analytics and data processing at scale.
Build and maintain Helm charts, Terraform configurations, and multi-environment deployments.
Own monitoring and alerting with Prometheus/Mimir, Grafana, and CloudWatch.
Administer PostgreSQL, ClickHouse, and Redis storage systems.
Support RabbitMQ, AWS SQS, and Temporal message-broker and workflow infrastructure.
Manage infrastructure security through secrets management, IAM policies, vulnerability scanning, and encryption.
Design and configure VPCs, subnets, firewalls, load balancers, and VPNs.
Monitor cloud spending, identify waste, right-size resources, and report on cost efficiency.
Participate in the on-call rotation and conduct post-mortems.

5+ years of experience in a DevOps or SRE role.
Hands-on experience with most of the stated cloud, Kubernetes, infrastructure-as-code, database, messaging, and monitoring stack.
Strong Linux fundamentals and Bash and/or Python scripting experience.
Practical use of Claude Code or agentic coding, including validating AI-generated code.
Availability during Eastern Time and fluency in English.
Ability to work effectively in a fast-moving environment with shifting priorities and maintain high attention to detail.
Golang or Python development experience is preferred.
Experience with Vault, Packer, ClickHouse administration, or data-intensive pipelines is preferred.