Staff Devops Engineer

We are looking for a highly skilled and hands-on Senior DevOps / Platform Engineer to design, build, automate, and manage scalable cloud-native platforms and DevOps ecosystems. The ideal candidate should have deep expertise in Kubernetes, CI/CD, Infrastructure as Code, observability, automation, tools, cloud cost optimization, cloud networking, and platform engineering, along with strong troubleshooting and SRE capabilities. The role requires close collaboration with Development, Security, SRE, and Infrastructure teams to improve platform reliability, deployment efficiency, security, and developer productivity.

Responsibilities

Design, implement, and manage scalable Kubernetes-based platforms; Build and maintain cloud-native infrastructure and DevOps tooling; Develop and manage CI/CD pipelines for application and infrastructure deployments; Implement GitOps-based deployment strategies and platform automation; Manage observability platforms including monitoring, logging, tracing, and alerting; Drive Infrastructure as Code (IaC) and automation initiatives; Ensure platform security, compliance, reliability, and high availability; Troubleshoot production incidents and perform root cause analysis; Collaborate with engineering and security teams for release management and platform improvements; Optimize cloud infrastructure cost, scalability, and performance; Drive DevSecOps and SRE best practices across teams; Enable developer productivity through automation and AI-assisted engineering tools

Requirements

5+ years of experience; Highly skilled and hands-on Senior DevOps / Platform Engineer; Kubernetes cluster administration, scaling, upgrades, RBAC, namespaces; Helm charts, ingress controllers, workload troubleshooting and optimization; Argo CD (GitOps); Helm; Harbor; Prometheus; Grafana; ELK Stack / EFK Stack; Loki; Thanos; Fluentd / Fluent Bit; Cert-Manager; NGINX Ingress Controller; GitHub Actions; Jenkins; CI/CD; Azure DevOps Pipelines; Blue-Green and Canary deployments; Artifact and container image management; Terraform and Pulumi; Cloud provisioning and automation; Load balancing and auto scaling; VPC, DNS, VPN, firewall concepts; High Availability and Disaster Recovery; Multi-cloud and hybrid cloud exposure; Docker and container lifecycle management; Service mesh exposure (Istio / Linkerd preferred); Cluster monitoring and optimization; Metrics, logging, and tracing implementations; Prometheus, Grafana, ELK, Loki, and Thanos; Alerting, incident management, RCA, and performance tuning; Kubernetes security best practices; Vault and Kubernetes Secrets; IAM and access control; Container security scanning and DevSecOps; Python automation; API integrations and workflow automation; Production incident handling; Infrastructure troubleshooting; SRE practices, capacity planning, and optimization; GitHub Copilot; Cursor; Claude; AI-assisted automation and troubleshooting; Microsoft Azure; Google Cloud Platform (GCP); Strong communication and collaboration skills; Strong ownership and problem-solving mindset; Experience working in Agile and DevOps culture; Ability to collaborate with Development, Security, and SRE teams

Nice to have

Kubernetes certifications (CKA / CKAD / CKS); Cloud certifications (Azure / GCP); Experience managing enterprise-scale Kubernetes platforms; Exposure to platform engineering and Internal Developer Platforms (IDP); Experience with AIOps platforms; Exposure to enterprise security and compliance frameworks; Experience with large-scale production environments and global deployments