AI-Native DevOps Engineer

About the Role

We are a small, AI-native company that builds and operates production systems end to end. We are hiring our first dedicated infrastructure engineer to take systems that work from "running" to "running at scale, unattended." This is a 1-year contract role with the intent to extend, and an opportunity to start within a month.

Key Responsibilities

• Own cloud infrastructure end to end: provisioning, networking, TLS, cost.
• Build deployment pipelines properly: CI-built immutable images, staged promotion (dev → staging → canary → production), versioned database migrations, rollback.
• Make systems survivable: backups with restore drills, failover, durable queues, Postgres care (partitioning, connection pooling, read replicas).
• Implement observability from zero: metrics, logs, alerts, SLOs.
• Scale batch and burst workloads: queue-driven worker pools, autoscaling, multi-tenant scheduling.
• Implement security fundamentals: identity and role-based access, per-environment secrets, least privilege, third-party API quota management.

Requirements & Tech Stack

• Fluent daily driver of Claude Code and Codex, with real shipped work to show (repos, agent workflows, MCP servers, eval suites).
• Strong Linux, Docker, Postgres, CI/CD.
• GitHub Actions preferred.
• Comfortable in Python for services and infrastructure glue.
• Experience operating something real in production (deploys, monitoring, incident response).
• Ability to start within a month.

Qualifications

• AI-native experience is mandatory. A traditional DevOps background with no agent fluency is not suitable.
• Proven experience with CI/CD pipelines.
• Production systems operation experience, including incident management.

Helpful but not required:

• Kubernetes
• Cost-lean cloud providers
• Event and queue systems
• India timezone context