Deployment + Scaling Expert (Helm Charts / Kubernetes)

HCLSoftware; Dadri; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

HCLSoftware is seeking a Deployment + Scaling Expert with 6+ years of experience to lead the design, packaging, and operation of cloud-native deployments using Kubernetes and Helm across multi-environment clusters.

You will define deployment standards, scaling strategies, and release automation to enable reliable, repeatable rollouts and cost-efficient scaling in a fast-paced cloud-native environment.

Qualifications

• 6+ years in DevOps/platform engineering/SRE with hands-on Helm and Kubernetes production experience.

Responsibilities

• Design, author, and maintain production-grade Helm charts for multi-service apps.

Skills

Helm v3 templating

Kubernetes administration

GitOps

CI/CD pipelines

Argo Rollouts/ Flagger

Cloud providers (AWS/GCP/Azure)

Scripting (Bash, Python)

RBAC & security basics

Tools

ArgoCD

Flux

Jenkins

GitHub Actions

Terraform

Kustomize

Vault

Sealed Secrets

Trivy

Job description

Experience: 6 to 8 yrs

Looking for immediate joiners.

Job Summary: Deployment + Scaling Expert (Helm Charts / Kubernetes) with 6+ years of experience to lead the design, packaging, and operation of cloud-native application deployments using Kubernetes and Helm. You will be the go-to engineer for defining deployment standards, scaling strategies, and release automation that enable reliable, repeatable rollouts across multi-environment Kubernetes clusters.

Key Responsibilities:

• Helm Chart Development: Design, author, and maintain production-grade Helm charts for complex multi-service applications; enforce chart best practices including templating, values management, and library charts.
• Kubernetes Cluster Management: Manage and optimize Kubernetes clusters (EKS, AKS, GKE, or on-premises RKE2/k3s); handle node pool configuration, taints, tolerations, affinity rules, and resource quotas.
• Deployment Strategies: Implement and manage advanced deployment patterns including blue/green, canary, and rolling updates using Argo Rollouts, Flagger, or native Kubernetes primitives.
• Horizontal & Vertical Scaling: Configure and tune HPA (Horizontal Pod Autoscaler), VPA (Vertical Pod Autoscaler), KEDA event-driven autoscaling, and cluster autoscaler for cost-efficient workload scaling.
• Release Automation: Integrate Helm with CI/CD pipelines (ArgoCD, Flux, Jenkins, GitLab CI, GitHub Actions) for GitOps-driven continuous delivery.
• Configuration & Secret Management: Manage environment-specific configurations using Helm values overrides, Kustomize overlays, and secrets management solutions (Vault Agent, External Secrets Operator, Sealed Secrets).
• Observability & Troubleshooting: Instrument deployments for health checks, readiness/liveness probes, and PodDisruptionBudgets; integrate with Prometheus/Grafana for deployment-level SLO monitoring.
• Multi-Tenancy & RBAC: Design namespace strategies, RBAC policies, and network policies to support multi-tenant Kubernetes environments.
• Capacity Planning: Analyze workload resource utilization; provide recommendations for right-sizing, spot/preemptible node strategies, and cluster cost optimization.
• Documentation & Standards: Maintain deployment runbooks, Helm chart documentation, and define organizational standards for packaging and releasing containerized applications.

Required Skills & Qualifications:

• Experience: 6+ years in DevOps, platform engineering, or SRE roles with at least 3 years of hands-on Helm and Kubernetes production experience.
• Helm Mastery: Deep expertise in Helm v3: chart templating (Go templates, Sprig functions), hooks, library charts, chart repositories (OCI/Harbor), and Helmfile for multi-release management.
• Kubernetes: Strong understanding of Kubernetes core objects (Deployments, StatefulSets, DaemonSets, Jobs, CronJobs), networking (Ingress, Gateway API, Services), and storage (PVCs, StorageClasses).
• Autoscaling: Hands-on experience with HPA, VPA, KEDA, and cluster autoscaler across at least one major cloud provider.
• GitOps & CI/CD: Experience with ArgoCD or Flux for GitOps delivery; integration of Helm into Jenkins, GitLab CI, GitHub Actions, or Tekton pipelines.
• Container Technologies: Proficiency with Docker, multi-stage builds, container image optimization, and image scanning (Trivy, Grype, or equivalent).
• Scripting & Automation: Proficiency in Bash and Python for deployment scripting, pre/post-upgrade hooks, and automation tooling.
• Cloud Platforms: Hands-on experience with managed Kubernetes on AWS (EKS), Azure (AKS), or GCP (GKE), including IAM integration and managed add-ons.
• Service Mesh: Familiarity with Istio or Linkerd for traffic management, mTLS, and canary traffic splitting is a plus.
• Monitoring: Experience integrating Prometheus ServiceMonitors, Grafana dashboards, and alerting rules into Helm chart templates.
• Communication: Strong written and verbal communication; ability to produce clear documentation and onboard engineering teams on deployment standards.