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Cloud GCP - Senior Engineer @ Iris Software

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 Cloud GCP - Senior Engineer

Job Description

Key Responsibilities

  • Provision and configure GKE On Prem clusters, including node pool design and cluster version alignment as defined by platform standards.
  • Deploy and manage microservices containerized workloads Deployments, StatefulSets, DaemonSets, Services, ConfigMaps, and Secrets.
  • Author and maintain Helm charts for application packaging and environment-based configuration.
  • Configure Kubernetes networking ingress controllers, services, DNS, and basic network policies.
  • Manage persistent storage for GKE On Prem workloads using on premises storage integrated via Kubernetes CSI drivers, supporting block and shared file storage for stateful applications.
  • Design, deploy, and manage Google Kubernetes Engine (GKE) clusters on Google Cloud using both Standard and Autopilot deployment models.
  • Support application migration and onboarding to GKE On Prem environments, including containerization, Helm based packaging, access configuration, connectivity validation, and deployment to Anthos managed clusters.
  • Implement RBAC policies and namespace configurations for workload isolation and access control.
  • Perform routine cluster health checks node status, resource utilization, pod scheduling, and etcd backup verification.
  • Write and maintain runbooks, deployment guides, and cluster documentation.
  • Work closely with senior engineers, taking guidance on architecture decisions while owning execution independently.
  • Configure and manage autoscaling mechanisms implement Horizontal Pod Autoscaler (HPA) based on CPU and memory metrics, Vertical Pod Autoscaler (VPA) for resource right-sizing, and Cluster Autoscaler for dynamic node scaling based on workload demand.
  • Apply and enforce Pod Security Standards (PSS) and Pod Security Admission (PSA) controls - configure restricted, baseline, and privileged policies per namespace to prevent privilege escalation, host path mounts, and insecure container configurations.
  • Integrate Identity Provider (IdP) systems with Kubernetes for centralized authentication and SSO - configure OIDC-based authentication using Azure IDP or Okta, and set up LDAP / Active Directory integration for user and group mapping to Kubernetes RBAC roles and namespace-level permissions.

Required Experience

  • 5 years of total experience in Systems Engineering, Cloud Infrastructure, or DevOps Engineering roles.
  • 3+ years of hands-on GKE experience cluster provisioning, node pool management, Helm, Workload Identity, and workload deployment on Google Cloud.
  • Solid Linux system administration skills familiarity with GCP Compute OS, Container-Optimized OS, and standard Ubuntu/RHEL environments.
  • Working knowledge of container fundamentals Docker or Podman build, run, and push workflows.
  • Genuine hands-on experience: candidates must be able to demonstrate K8s and Linux tasks in a technical screening.
  • Ability to work independently on assigned tasks with guidance from senior engineers on design decisions.

Good to Have

  • Experience with service mesh: Istio or Linkerd
  • Deeper GCP experience beyond GKE: VPC networking, Cloud Armor, IAM, Cloud Logging, Cloud Monitoring, and Artifact Registry
  • Knowledge of Terraform or Ansible for infrastructure provisioning
  • Experience with container security scanning tools .
  • Prior involvement in Greenfield infrastructure build-outs

Mandatory Competencies

  • DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket
  • DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)
  • Development Tools and Management - Development Tools and Management - CI/CD
  • Beh - Communication
  • Cloud - GCP - Artifact Registry, Google Kubernetes Engine(GKE)
  • Cloud Native & DevOps Tooling - Kubernetes Package Management - Helm

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DevOps
Role: Site Reliability Engineer
Employement Type: Full time

Contact Details:

Company: Iris Software
Location(s): Noida, Gurugram

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Keyskills:   gcp gke kubernetes github ubuntu vpc dns bitbucket microservices docker ansible cloud system administration iam active directory devops linux onboarding systems engineering gitlab terraform architecture azure

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Iris Software

Iris Software Inc.