We're looking for a Senior DevOps Engineer who owns infrastructure end-to-end, ships with confidence, and raises the reliability bar without being asked. You will work closely with backend, full-stack, and security teams to build a highly available, reliable, and secure production environment. If you get energized by building systems that scale, pipelines that teams love, and platforms that never sleep - this role is for you.
Key Responsibilities
Own and evolve our cloud infrastructure across multi-region production environments, end-to-end.
Lead our GitOps deployment model - designing and maintaining declarative, automated deployment workflows with zero manual gates.
Build, maintain, and optimize CI/CD pipelines with a strong focus on developer experience, reliability, and speed.
Drive DevSecOps "shift-left" culture: integrate security scanning, SBOM generation, and supply chain hardening directly into every pipeline.
Develop automation frameworks for provisioning, scaling, observability, and incident response - increasingly leveraging AI-assisted tooling to reduce toil.
Operate and improve our observability platform: metrics, logs, alerting, dashboards, SLOs/SLIs, and on-call tooling.
Champion zero-trust secrets management and credential-less authentication patterns across the stack.
Partner with architects and engineering leadership on cloud cost optimization, availability, and performance.
Build internal tooling and automation that multiplies engineering velocity across the organization.
Requirements: 5+ years of hands-on DevOps experience in a SaaS product environment - Must.
Deep, hands-on AWS expertise; multi-cloud experience is a strong plus - Must.
Strong understanding of containers and orchestration - Docker, Kubernetes, including workloads, networking, service mesh (Istio), Helm/Kustomize, and autoscaling (KEDA, HPA, VPA).
Strong experience with:
Infrastructure-as-Code - Terraform, Crossplane, and/or cloud-native declarative tooling.
GitOps principles and tooling (ArgoCD or equivalent).
CI/CD platforms - building reusable, scalable, security-hardened pipeline templates (GitHub Actions or equivalent).
Secrets management - dynamic injection, IRSA/Workload Identity, zero long-lived credentials.
Experience embedding security into CI/CD: vulnerability scanning, SBOM generation, and supply chain security (Trivy, Grype, Syft, JFrog Xray).
Solid observability fluency - OpenTelemetry, Prometheus, Grafana, Datadog, ELK/OpenSearch, distributed tracing.
Exposure to AI/ML workloads or LLMOps infrastructure is a meaningful advantage - not required, but will set you apart.
FinOps mindset - you think about cloud spend as a product metric, not just a finance problem.
A clear communicator who can align engineers, security teams, and leadership around infrastructure decisions.
A builder and owner - you see the system, spot the gaps, and raise the bar without being asked.
This position is open to all candidates.