Senior Site Reliability Engineer

Qutwo

Responsibilities

Observability and reliability practices.
Build the metrics, logging, tracing, and alerting we need, and help define pragmatic SLOs and incident practices that grow with the product.
Infrastructure as code and GitOps.
Build paved roads for CI/CD and deployment that make the reliable path the easy path for engineers and coding agents alike, and document decisions clearly enough that both can act on them.

Minimum of 7 years of experience building and operating production systems, including several years in an SRE, platform, or infrastructure role.
Deep, hands-on Kubernetes experience, including cluster operations, networking, storage, and troubleshooting.
Experience running systems across more than one cloud provider, and a clear view of the trade-offs involved.
Strong infrastructure-as-code and automation skills (e.g., Terraform, Helm, GitOps), and fluency in Python or Go for tooling.
Solid grasp of distributed systems, their failure modes, and the trade-offs behind reliability targets.

Experience in one or more of the following areas is a plus but not a requirement: Operating Ray or other distributed compute frameworks in production.
Working closely with ML researchers or running ML pipelines in production.
Meeting formal security or compliance requirements (e.g., ISO 27001, SOC 2) Cloud cost management and FinOps practices.
Familiarity with quantum computing concepts at a high level, or curiosity about them.

you think about trust boundaries, identity, secrets, and supply chain by default.

you use coding agents well and review their output critically, including infrastructure changes. Fluent in English, with a proven ability to thrive in agile, cross-functional teams.
Running GPU workloads, including scheduling and utilization optimization.