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.