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Popular Kubernetes/GitOps DevOps role in a metro location attracts many applicants, creating moderate competition.
Core DevOps, Kubernetes, and cloud skills are broadly transferable across industries and employers.
Explicit 2-3 year requirement plus core Kubernetes/GitOps skills make filters moderately strict but allow strong juniors.
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Support deployment, operation, and automation of a Kubernetes-based Conversational AI platform across GKE and on-premise OpenShift clusters.
Manage GitOps-based application delivery workflows with Argo CD and assist in operating GKE clusters, including workloads, ingress/API gateways, monitoring, and secrets management.
Identify repetitive operational tasks and build automation workflows using scripting and CI/CD improvements to reduce manual interventions and improve platform reliability.
Bachelor's degree in Computer Science, Information Technology, or related field.
2-3 years of experience in DevOps, Cloud Engineering, SRE, or System Administration (fresh graduates with relevant internship or academic Kubernetes projects encouraged).
Hands-on experience with Kubernetes core concepts (Pods, Deployments, StatefulSets, Services, ConfigMaps, Secrets) and Docker lifecycle management.
Working knowledge of Git, CI/CD pipelines (preferably GitLab CI), automation scripting (Bash, Python, Go), and GCP/GKE or another cloud platform.
Experienced with Kubernetes GitOps workflows using Argo CD or similar tools, including Helm chart and Kubernetes manifests management.
Automation-focused engineer comfortable identifying and automating routine platform operations through scripting, Infrastructure as Code, and CI/CD pipeline improvements.
Familiar with cloud-native monitoring and logging stacks (Prometheus, Grafana, Loki), secrets management (HashiCorp Vault), ingress/API gateway configurations, and cloud/on-prem Kubernetes operations in regulated environments.