DevOps Engineer

DevOps Engineer

You'll build and run the cloud infrastructure, CI/CD pipelines and observability our product teams ship on. You work independently on well-scoped projects and get senior guidance on larger architecture decisions.

Role Description

• Design, provision and maintain cloud infrastructure as code (Terraform or the cloud's native IaC tool)
• Build and improve CI/CD pipelines so teams can ship safely several times a day
• Operate production Kubernetes clusters (EKS, GKE or AKS): deployments, upgrades, autoscaling and troubleshooting
• Set up and own monitoring, logging, alerting and dashboards; tune alerts so they are actionable
• Take part in the on-call rotation, handle incidents and write clear post-incident reviews
• Apply security basics: least-privilege IAM, secrets management, network segmentation, patching
• Track and reduce cloud spend with tagging, rightsizing and cost reports
• Automate repetitive operational work with scripts and tooling
• Write runbooks and docs, and help developers use the platform well

Qualifications

Must have:

Deep expertise in one cloud provider: AWS, GCP or Azure

You have run production workloads on it, not only earned certifications. In that cloud you should be comfortable with:

• Compute, networking (VPC/VNet, subnets, load balancers, DNS) and IAM
• Managed databases, object storage and message queues
• Its managed Kubernetes service (EKS, GKE or AKS)
• The cloud's monitoring and logging tools
• Fluent English communication, spoken and written

Strong Kubernetes experience

Hands-on experience running production workloads on Kubernetes, including:

• Core objects: Deployments, StatefulSets, Services, Ingress, ConfigMaps, Secrets, Jobs, CronJobs
• Packaging and releases with Helm or Kustomize
• Resource requests and limits, HPA, probes and rolling updates
• RBAC, namespaces and network policies
• Debugging pods, nodes and networking with kubectl, logs and events
• Cluster upgrades and node pool management

Core DevOps Skills

• Infrastructure as code, ideally Terraform
• Docker and container image best practices (small, secure, reproducible builds)
• Building CI/CD pipelines in at least one tool (GitHub Actions, GitLab CI, Jenkins or similar)
• GitOps deployments with tools such as Argo CD or Flux
• Observability stacks: Prometheus, Grafana, Loki
• Linux administration and scripting in Bash plus Python or Go
• Git workflows and code review
• Solid troubleshooting across network, OS, container and application layers
• Kubernetes debugging: Services (selectors, endpoints, ports, DNS), Jobs and CronJobs (failed runs, schedules, backoff limits, concurrency), and pods stuck in Pending, CrashLoopBackOff or ImagePullBackOff
• Pipeline debugging: failed builds and deploys, flaky tests, caching, runner issues, and missing secrets or permissions

Nice to have:

None of these are required. Each one is a plus.

• A professional-level cloud certification (e.g. AWS Solutions Architect Associate/Professional, GCP Professional Cloud Architect, Azure Administrator)
• Kubernetes operators, CRDs, Karpenter or Cluster Autoscaler
• KEDA for event-driven autoscaling (e.g. scaling on queue length)
• Service mesh (Istio, Linkerd)
• OpenTelemetry instrumentation and tracing
• Database operations: PostgreSQL, Redis, backups and failover
• Load and performance testing (k6)
• Serverless (Lambda, Cloud Functions, Azure Functions)