Job Summary
Role Summary
We are seeking a highly motivated Cloud DevOps Engineer with strong expertise in cloud infrastructure, CI/CD automation, containerization, and Infrastructure as Code (IaC). The candidate will be responsible for designing, implementing, and supporting scalable DevOps solutions across cloud and hybrid environments. Experience supporting engineering or PLM platforms is highly desirable.
Key Responsibilities
Design, build, and maintain CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
Automate application build, deployment, testing, and release management processes.
IManage and optimize cloud infrastructure on AWS, Azure(Prefered).
Deploy and maintain containerized applications using Docker and Kubernetes/OpenShift.
Implement monitoring, logging, and observability solutions using tools such as Prometheus, Grafana, ELK, Datadog, or similar.
Implement Infrastructure as Code (IaC) using Terraform, Ansible, or equivalent technologies.
Collaborate with development, QA, security, and operations teams to improve software delivery efficiency.
Support DevSecOps practices including vulnerability scans, code quality checks, secrets management, and compliance automation.
Troubleshoot build, deployment, infrastructure, and performance issues across environments.
Create and maintain technical documentation, runbooks, and operational procedures.
Mandatory Skills
Cloud Platforms
AWS and/or Azure (preferred)
Strong understanding of IAM, Networking, Compute, Storage, Load Balancers, Security Groups, Monitoring Services
DevOps & CI/CD
Git, GitHub, GitLab, Azure Repo
Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps Pipelines
Branching strategies and release management
Containerization & Orchestration
Docker
Kubernetes / OpenShift
Helm Charts
Infrastructure as Code
Terraform
Ansible
Scripting & Automation
Python
Shell/Bash
PowerShell (good to have)
Monitoring & Observability
Prometheus
Grafana
NagiosXI
Cloud-native monitoring solutions
DevSecOps
SonarQube
SAST/DAST tools
Artifact management (JFrog Artifactory, Nexus)
Good to Have
PLM / Engineering Platform Experience
Teamcenter, Windchill, Enovia, or similar PLM platforms
Experience implementing or supporting PLM CI/CD pipelines
Build and deployment automation for Teamcenter components (BMIDE, ITK, Dispatcher, Web Tier, Pool Manager, etc.)
PLM environment monitoring and automation
Understanding of engineering application release processes
Additional Skills
ArgoCD / GitOps
ServiceNow integrations
AI-assisted DevOps tools
Cloud cost optimization
SRE practices
Desired Competencies
Strong analytical and troubleshooting skills
Excellent communication and stakeholder management
Ability to work independently in global teams
Continuous improvement mindset
Experience working in Agile/Scrum environments