DevOps Engineer
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Role Name: Senior DevOps Engineer — On-Premises Automation
Location: Pune, Chennai, Bangalore, Hyderabad (5 days onsite)
Employment Type: 6-month contract
Shift: UK Timings (2pm- 11pm)
Job Description
Project Scope:
This engagement automates end-to-end infrastructure build provisioning across on-prem and Azure. The team will build a shared ServiceNow-led intake, approval, orchestration, and closed-loop status model, using Jenkins/Ansible for on-prem builds and Azure DevOps/Terraform for cloud builds. Automation includes standards, security/compliance controls, scan gates, CMDB/change updates, and handover.
Role Summary:
Lead secure and repeatable on-prem build provisioning pipelines.
Key Responsibilities:
• Lead Jenkins CI/CD for automated on-prem provisioning and configuration.
• Create pipeline templates for VM/physical host, OS deployment, configuration, certification, and rollback.
• Embed hardened-image validation, scan gates, secrets handling, approvals, and audit evidence.
• Lead Ansible roles, PowerShell modules, test automation, and code reviews.
• Implement logging, monitoring, and root-cause analysis; support UAT and hypercare.
Required Skills:
Qualifications:
• 8–10 years in DevOps, platform engineering, or infrastructure automation.
• Bachelor's degree or equivalent experience.
Job ID: 153515289
Skills:
S3, RDS, Datadog, Jenkins, Lambda, Docker, Terraform, ECS, Sqs, Python, Kubernetes, Api Gateway, AWS, EKS, Watchdog, AI-powered observability tools
Skills:
Linux Administration, Iptables, Networking, Prometheus, Dns, Pulumi, Grafana, BGP, Datadog, Vlans, routing, Terraform, Ansible, Load Balancing, Kubernetes, Python, ECMP, Linux hardening, secrets management, Go, nftables, Security, rbac
Skills:
Github, Prometheus, Nodejs, Grafana, Datadog, React, Terraform, Docker, MySQL, Postgres, Oracle, AWS, Java, Express.Js, Cloudformation, Dynamodb, Spring, Linux, Influxdb, Amazon Rds, Kubernetes, AWS Bedrock, Microservices architecture, Agentic AI frameworks
Skills:
Aws Services, Cloudformation, Prometheus, Bash, AWS CloudWatch, Elk Stack, Grafana, Datadog, Jenkins, Docker, Terraform, AWS CodePipeline, Kubernetes, Python, Go, GitHub Actions
Skills:
AI-assisted engineering tools e.g. GitHub Copilot, Scripting Python PowerShell or Bash, Operations Troubleshooting incident response and reliability engineering, CI CD Azure DevOps and or GitHub Actions, Cloud Azure core services networking IAM, Containers Docker and Kubernetes AKS preferred, Infrastructure as Code Terraform, Observability Monitoring logging and alerting fundamentals, Security Secrets management vulnerability scanning secure SDLC practices
