Description
About the Role
As a Platform Engineer, you will deploy and operate Innovaccer's services on OpenShift in customer data centres through a fully GitOps-driven delivery model. This is high-throughput platform work: bringing hundreds of services up in a current workplace through Helm and ArgoCD, re-pointing CI pipelines and service configurations to on-premise targets, and making each service provably healthy through structured validation. You will be part of the squads that turn a rollout plan into a running platform.

A Day in the Life
Deploy services to OpenShift via ArgoCD: author and maintain Helm values overlays, application manifests, and workplace-specific configuration.
Re-point CI pipelines, service endpoints, and credentials from cloud targets to on-premise equivalents at scale, following dependency-ordered rollout plans.
Operate the shared platform layer: operator-managed data stores, KEDA autoscaling, ingress gateways, and secrets delivered through Vault and External Secrets.
Execute per-service validation: health checks, smoke tests,



and functional verification, and feed results back into the rollout tracker.
Build and maintain monitoring dashboards and alerts, and contribute to runbooks for steady-state operations.
Troubleshoot deployment, networking, and configuration issues across namespaces in a default-deny network model.

What You Need
B.E., B.Tech., M.Sc. degree in Computer Science or a related technical field.
6+ years of platform, DevOps, or SRE experience with production Kubernetes; OpenShift experience is a strong plus.
Hands-on experience with Helm and GitOps tooling (ArgoCD preferred).
Working knowledge of CI systems (GitLab CI, Bitbucket Pipelines, or equivalent) and container registries.
Solid scripting ability in Python, Bash, or Go.
Familiarity with observability stacks (Prometheus, Grafana) and log aggregation.
Exposure to HashiCorp Vault, secrets management, or certificate handling is a plus.
Exper

📌 4468 Site Reliability Engineer Iii Noida
🏢 Innovaccer Analytics
📍 Noida