Senior Site Reliability Engineer / DevOps
What you'll do
- Define, instrument, and report on SLOs, SLIs, and error budgets for critical client services, driving reliability decisions with data
- Build and operate observability: dashboards, alerting, distributed tracing, and log pipelines (Datadog, Prometheus/Grafana, OpenTelemetry) tuned to minimize alert fatigue
- Automate infrastructure and operations with Terraform/OpenTofu and code (Python/Go/Bash), eliminating toil and manual runbooks
- Design and maintain CI/CD and GitOps pipelines (GitHub Actions, ArgoCD/Flux) for safe, frequent, low-risk deployments
- Operate and harden Kubernetes workloads — autoscaling, resource tuning, rollout strategies — including AI/ML and GPU-backed services
- Lead incident response and on-call, run blameless postmortems, and drive the follow-up work that prevents recurrence
- Implement backup, disaster-recovery, and capacity-planning practices, and partner with FinOps efforts to keep cloud spend efficient
- Produce clear runbooks and documentation and coach client teams on operational best practices
What we're looking for
- 5+ years in SRE, DevOps, or production operations roles for large-scale systems
- Strong hands-on Kubernetes experience and production expertise with at least one major cloud (AWS, GCP, or Azure)
- Proficiency with Infrastructure-as-Code (Terraform/OpenTofu) and CI/CD pipelines
- Solid coding/scripting ability in Python, Go, or similar for automation and tooling
- Deep experience with observability tooling (Datadog, Prometheus/Grafana, OpenTelemetry) and defining SLOs/error budgets
- Proven incident-response leadership, including on-call ownership and postmortem facilitation
- Comfort working directly with client teams and communicating operational risk clearly
Nice to have
- Experience operating AI/ML or GPU workloads in production
- GitOps depth (ArgoCD/Flux) and progressive delivery (canary, blue/green)
- FinOps or cloud cost-optimization experience
- Certifications such as CKA or a cloud associate/professional credential
- Chaos engineering or reliability-testing experience
About Overnox
Overnox is an AI engineering and infrastructure consultancy. We help startups and enterprises securely adopt AI, automate operations, and scale cloud infrastructure with enterprise-grade engineering — building, securing, and operating production AI systems as one accountable senior team. Security-first, product-minded, no outsourcing.
What we offer
- Fully remote — work from anywhere, with a few hours of overlap for collaboration
- Competitive base plus meaningful equity in the company you're helping build
- Senior-only team — real peers, no juniors to babysit, no offshore handoffs
- Top-tier hardware and a generous learning, certification, and conference budget
- Direct ownership of outcomes and a genuine say in how we build and operate
- Region-appropriate health, time-off, and wellbeing support
Compensation
The listed range ($165k–$225k + equity) is a good-faith estimate. Final compensation is based on your experience, level, and location, and includes meaningful equity. We benchmark pay against the market and review it regularly.
Equal opportunity & accommodations
Overnox is an equal opportunity employer. We celebrate diversity and are committed to an inclusive environment for everyone. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable law.
If you need a reasonable accommodation at any point in the application or interview process, email hello@overnox.com and we'll work with you.
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