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Salary
≈ $22k – $54k per year (Estimated)
Location
In office (Pune)
Seniority
Principal · 8+ years exp

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Sep 8, 2026. Vertiv scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Vertiv is an American company that supplies the power and cooling infrastructure data centres depend on, formed in 2016 when Emerson Electric sold its network power division to Platinum Equity. Its products cover uninterruptible power supplies, switchgear and busway, precision air and liquid cooling, racks and the monitoring software that runs them, sold to hyperscale operators, colocation providers and enterprises. Headquartered in Westerville, Ohio and listed on the New York Stock Exchange, it has become one of the most direct beneficiaries of artificial intelligence build-out because dense computing requires liquid cooling it already makes.

Senior DevOps Engineer

Next Generation Monitoring (NGM) Platform - Vertiv IT Systems | Pune, Maharashtra

Experience: 8-12 Years

  • Band: Senior Engineer (IC)
  • Department: Software Engineering - IT Systems
  • Reports To: Engineering Manager

POSITION SUMMARY

We are seeking an experienced Senior DevOps Engineer to own the engineering delivery infrastructure - CI/CD pipelines, container orchestration, multi-deployment packaging, release management, security automation, and platform observability. The engineer will support on-premises, cloud-native (AWS/GCP/Azure), hybrid edge-cloud, and air-gapped deployment targets across a multi-year, multi-release product roadmap.

KEY RESPONSIBILITIES

CI/CD Pipeline Engineering

  • Design, build, and optimize GitLab CI/CD pipelines for all microservices with independent deployment cycles
  • Implement multi-stage pipelines: build → test → security scan → package → deploy across all environments
  • Integrate automated unit, integration, and system-level tests; manage all pipeline configuration as code
  • Configure branch-based promotion strategies (dev → staging → production)

Container Orchestration & Infrastructure

  • Manage containerized deployments via Docker and Kubernetes on Linux and Windows Server
  • Provision and manage Kubernetes clusters (dev, staging, production) with horizontal pod autoscaling
  • Configure service mesh (Istio/Linkerd) for inter-service mTLS; manage container image registry lifecycle
  • Implement Infrastructure as Code using Terraform and/or Ansible for cloud and on-premises resources

Multi-Deployment Operations

  • Build on-premises Docker/Kubernetes deployment automation for Linux and Windows Server targets
  • Develop cloud-native automation for AWS, GCP, and Azure (EKS/GKE/AKS) including multi-region config
  • Engineer hybrid edge-cloud pipelines; package air-gapped artefact bundles for offline/classified environments
  • Implement zero-downtime rolling updates, blue-green deployments, and automated rollback strategies

Release Management

  • Orchestrate software releases across the multi-release product roadmap; coordinate cross-functional readiness
  • Manage versioning, release tagging, changelog generation, and artefact storage across all microservices
  • Produce deployment runbooks, release notes, and rollback procedures for each release milestone

Security & Compliance Automation

  • Integrate SAST, DAST, container image scanning (Trivy/Snyk/Clair), and dependency vulnerability checks
  • Automate SBOM generation, open-source license compliance, and software supply chain tracking
  • Configure secrets management (HashiCorp Vault), TLS certificate automation, and PKI for microservices
  • Implement pipeline controls for SOC 2, EU Cyber Resilience Act, and FedRAMP readiness

Monitoring, Observability & Reliability

  • Deploy centralized logging (ELK/Loki), metrics (Prometheus/Grafana), and distributed tracing (Jaeger)
  • Configure Kubernetes cluster monitoring, pod health dashboards, and alerting/on-call integration
  • Drive proactive reliability engineering to meet high-availability platform SLA targets

Automation & Cross-Functional Collaboration

  • Create Bash/Python automation for infrastructure operations, environment provisioning, and self-healing
  • Interface with software architects, developers, QA, and product management on delivery and planning
  • Guide development teams on DevOps best practices, containerization patterns, and pipeline design

REQUIRED TECHNICAL SKILLS

Infrastructure & Platform: Linux (Ubuntu, RHEL, CentOS) production admin (5+ yrs)

  • Docker & Kubernetes (Helm, RBAC, autoscaling)
  • Service mesh: Istio/Linkerd
  • Windows Server 2019+ for on-premises targets

CI/CD & Version Control: GitLab CI/CD administration & pipeline YAML (5+ yrs)

  • Multi-service microservices pipelines
  • Artefact management: GitLab, ECR, GCR, ACR
  • GitOps with Helm chart management

Cloud & Multi-Deployment: AWS, GCP, or Azure (multi-cloud preferred)

  • EKS/GKE/AKS auto-scaling & multi-region
  • Hybrid edge-cloud
  • Air-gapped offline artefact packaging
  • Terraform & Ansible (5+ yrs)

Development & Automation: Advanced Bash & Python scripting

  • YAML/JSON for Kubernetes manifests & Helm
  • REST API automation
  • Go (Golang) familiarity for microservices platform context

Security & Compliance: Container scanning: Trivy, Snyk, or Clair

  • SAST/DAST pipeline integration
  • SBOM: Syft/CycloneDX
  • HashiCorp Vault
  • TLS/PKI automation
  • SOC 2, EU CRA, FedRAMP pipeline controls

Monitoring & Observability: ELK/EFK, Loki, or Splunk

  • Prometheus & Grafana (production-grade)
  • Distributed tracing: Jaeger/Zipkin
  • Kubernetes cluster monitoring
  • SLA reliability metrics

GOOD-TO-HAVE SKILLS

  • Cloud certifications: AWS DevOps Engineer, Google Professional DevOps, or Azure DevOps Expert
  • CKA/CKAD, Kubernetes operator development, and service mesh deep expertise
  • GitOps tooling: ArgoCD or Flux for continuous delivery
  • SRE practices: error budget management, chaos engineering (LitmusChaos, Chaos Monkey)
  • Time-series DB operations: InfluxDB or TimescaleDB backup, scaling, schema migration
  • Message broker management: Kafka or NATS cluster operations and monitoring
  • Edge node provisioning, remote management, and telemetry collection from distributed agents
  • Internal Developer Platform (IDP) tooling and developer self-service workflows

REQUIRED QUALIFICATIONS

  • Bachelor's Degree in Computer Science, Information Technology, Electrical Engineering, or related field
  • Minimum 8 years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering
  • 5+ years of Linux system administration in production environments (Ubuntu, RHEL, CentOS)
  • 5+ years of Docker and Kubernetes container orchestration in production
  • 5+ years of CI/CD pipeline management (GitLab CI preferred)
  • 5+ years of cloud platform deployments: AWS, GCP, or Azure
  • Proven track record delivering end-to-end CI/CD pipelines for microservices architectures
  • Strong background in Infrastructure as Code (Terraform, Ansible, or equivalent)
  • Experience integrating security and compliance tooling into DevOps workflows

SOFT SKILLS & EDUCATION

  • Strong problem-solving and root-cause analysis in complex distributed systems
  • Clear written and verbal communication for cross-functional engineering collaboration
  • Proactive ownership mindset with a strong bias toward automation over manual operations
  • Ability to manage competing priorities in a fast-paced agile product development environment
  • Team collaboration and informal DevOps culture leadership; comfort with ambiguity

Education: B.E. / B.Tech / M.E. / M.Tech in Computer Science, IT, or related field. Cloud/DevOps certifications (CKA/CKAD, AWS/GCP/Azure) are a plus.

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