Senior AI-assisted DevOps Engineer

Manage and evolve our cloud infrastructure on AWS/Azure (Kubernetes) - ensure cluster reliability: capacity planning, autoscaling, incident response, and post-mortems

Design and architect scalable, reliable infrastructure to support AI-driven analytics and data processing at scale

Build and maintain Helm charts, Terraform, and multi-environment setups

Own monitoring and alerting across the stack (Prometheus/Mimir, Grafana, CloudWatch)

Administer and optimize storages: PostgreSQL, ClickHouse, Redis

Support message brokers: RabbitMQ, AWS SQS, Temporal

Drive infrastructure security: secrets management, IAM policies, vulnerability scanning, and encryption

Own network design, configuration — VPCs, subnets, firewalls, load balancers, VPNs

Monitor and optimize cloud costs — identify waste, right-size resources, and report on spend efficiency

Participate in on-call rotation

5+ years in a DevOps/SRE role

Solid hands-on experience with most of our stack (80%): AWS/Azure/GCP, Kubernetes (cluster design, capacity planning, and reliability at scale), Helm charts, CI/CD pipelines (GitHub CI), Terraform, PostgreSQL, ClickHouse, Redis, RabbitMQ, AWS SQS, Temporal, and monitoring/alerting stacks (Prometheus/Mimir, Grafana, CloudWatch)

AI-assisted development in practice — actively uses Claude Code / agentic coding to ship, knows where AI-generated code needs validation

Strong Linux fundamentals

Bash and/or Python scripting

Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee

Detail-oriented and pedantic, with sharp attention to detail in high-volume, high-stakes systems — accountable and genuinely invested in the quality of your work

EST timezone availability

Fluency in English

Golang or Python development background

HashiStack: Vault, Packer

ClickHouse administration

Experience supporting data-intensive pipelines