Senior AI-assisted DevOps Engineer

11 days ago

Remote, WorldwideSenior

Responsibilities

Manage and evolve AWS/Azure cloud infrastructure and Kubernetes clusters, including capacity planning, autoscaling, reliability, incident response, and post-mortems.
Design scalable, reliable infrastructure for AI-driven analytics and data processing at scale.
Build and maintain Helm charts, Terraform configurations, and multi-environment deployments.
Own monitoring and alerting using Prometheus/Mimir, Grafana, and CloudWatch.
Administer PostgreSQL, ClickHouse, and Redis storage systems.
Support RabbitMQ, AWS SQS, and Temporal message-broker and workflow infrastructure.
Manage secrets, IAM policies, vulnerability scanning, encryption, and other infrastructure-security controls.
Design and configure VPCs, subnets, firewalls, load balancers, and VPNs.
Monitor cloud costs, identify waste, right-size resources, and report on spend efficiency.
Participate in an on-call rotation and use AI-assisted development tools to ship infrastructure code.

5+ years of experience in a DevOps or SRE role.
Hands-on experience with most of AWS, Azure, GCP, Kubernetes, Helm, GitHub CI, Terraform, PostgreSQL, ClickHouse, Redis, RabbitMQ, AWS SQS, Temporal, Prometheus/Mimir, Grafana, and CloudWatch.
Strong Linux fundamentals and Bash and/or Python scripting skills.
Practical experience using Claude Code or agentic coding, including validating AI-generated code.
Availability during Eastern Time and fluency in English.
Comfort with ambiguity, rapidly changing priorities, and high-volume, high-stakes systems.
Preferred: Golang or Python development background, HashiStack experience including Vault and Packer, ClickHouse administration, and experience supporting data-intensive pipelines.