DevOps Lead

Opportunity:

We are looking for a hands-on DevOps Tech Lead to build and evolve the platform capabilities that enable engineering teams to deliver software quickly, reliably and securely. This role will be 70% hands-on, 30% leadership (technical direction, mentoring, stakeholder comms). Part of the on-call rotation and leads the response to major production incidents.

You will work in a fast-moving, zero-to-one environment where systems, processes and team boundaries may still be evolving. You should be comfortable identifying problems, creating a pragmatic first version, measuring its impact and improving it iteratively.

Key Responsibilities

• Scale, secure cloud infrastructure, plus reusable platform components, golden paths and self-service that cut teams' dependence on DevOps.
• Terraform/IaC modules; containerized production on Kubernetes, Docker and Helm.
• CI/CD and GitOps pipelines with safe defaults, rollback and drift detection.
• Reliability of the data/messaging layer: SLOs, observability, incident response, blameless postmortems, and driving down MTTD/MTTR.
• Security controls, least-privilege and secrets management; cloud-cost visibility and reduction.
• Data & Messaging layer - databases, queues, search
• Using AI for real engineering leverage — automation, incident investigation, testing, docs — validated through review and security controls.

What are we looking for?

Must Have

• 6–9 years in DevOps / platform / SRE / infra / cloud ops, owning production infrastructure for business-critical systems.
• Deep knowledge of at least one major cloud platform.
• Strong hands-on Kubernetes and containers, and Terraform/IaC.
• Production experience operating and troubleshooting databases (MySQL/RDS, PostgreSQL), RabbitMQ, and Elasticsearch/OpenSearch — this is where most of our incidents live.
• Argo CD (or a direct equivalent) for GitOps, plus CI/CD pipeline design.
• Strong Linux, networking and production-troubleshooting fundamentals; automation in Python/Bash.
• Track record leading technical initiatives across teams and mentoring engineers without becoming a bottleneck.

Skills, Knowledge & Expertise

• Internal developer platforms / golden paths
• Observability (Datadog, Prometheus, Grafana, OpenTelemetry)
• Cloud security perspective (least-privilege, policy-as-code, DevSecOps)
• FinOps / cloud-cost optimization
• High-growth SaaS
• AI-assisted engineering.