Devops Expert

Job Summary:

We are seeking a Senior DevOps Cloud Engineering Specialist with extensive experience in cloud infrastructure DevOps practices CI/CD pipelines engineering methodologies containerization and virtualization technologies.

This role goes beyond traditional cloud engineering and requires a strong capability to design and enable scalable cloud-based ecosystems that support development testing simulation and validation across diverse engineering domains. The candidate will act as a key enabler for digital transformation driving standardization automation and adoption of modern tools and practices.

Key Responsibilities:

• 12  years of strong hands-on experience in Cloud Engineering DevOps or Platform Engineering roles.
• Architect and manage scalable secure and flexible cloud platforms (Azure/AWS/GCP) to support multi-domain engineering needs.
• Design and implement cloud-based CI/CD pipelines integrating development testing and validation workflows.
• Enable end-to-end automation across build test verification validation and deployment processes.
• Define and standardize engineering processes methods and toolchains across teams.
• Establish cloud-based Verification & Validation (V&V) frameworks including test automation simulation and traceability.
• Lead virtualization and containerization strategies to enable reproducible and scalable environments.
• Integrate diverse tools (ALM DevOps testing simulation) into unified cloud-based ecosystems.
• Ensure best practices in cloud security compliance cost optimization and observability.
• Support digital engineering initiatives such as model-based development and virtual validation environments.
• Provide technical leadership mentoring and guidance across teams and domains.
• Continuously evaluate and adopt emerging cloud technologies and tools.

Required Skills:

• Strong expertise in at least one major cloud platform (Azure AWS or GCP). Should be able to work on any similar company specific platform.
• Mandatory Experience in large-scale or multi-tenant cloud environments.
• Proven experience in designing CI/CD pipelines and DevOps workflows.
• Strong understanding of engineering processes methods and toolchain integration.
• Experience in Verification & Validation (V&V) including test automation and validation strategies.
• Proficiency in scripting and automation (Python Bash PowerShell).
• Hands-on experience with containerization and virtualization technologies.
• Solid understanding of Linux/Unix environments and system troubleshooting.
• Strong problem-solving and cross-domain collaboration skills.

Qualifications :

Preferred Skills:

• Familiarity with standards such as ISO 26262 ASPICE
• Exposure to AI/ML tools for automation testing or operations (AIOps).

Additional Information :

Tools & Technologies (Expected Exposure):

Cloud Platforms:

• Microsoft Azure AWS Google Cloud Platform

CI/CD & DevOps:

• GitHub Actions GitLab CI/CD Jenkins Azure DevOps

Infrastructure as Code & Automation:

• Terraform Pulumi Bicep ARM Templates AWS CloudFormation
• Ansible Chef

Containerization & Orchestration:

• Docker Kubernetes (AKS EKS GKE) OpenShift

Virtualization & Environment Management:

• VMware Hyper-V VirtualBox KVM
• Vagrant

Verification & Validation / Testing:

• Selenium Cypress Playwright
• Robot Framework pytest JUnit
• Postman REST Assured
• MATLAB/Simulink (for simulation use cases)
• dSPACE Vector tools (CANoe/CANalyzer) where applicable

Observability & Monitoring:

• Prometheus Grafana ELK Stack Loki
• Azure Monitor AWS CloudWatch GCP Operations Suite

Security & DevSecOps:

• HashiCorp Vault Azure Key Vault AWS Secrets Manager
• Snyk Trivy SonarQube OWASP ZAP

Collaboration & ALM Tools:

• Jira Confluence Polarion Azure Boards
• Git (GitHub GitLab Bitbucket)

Emerging & Advanced:

• AI-assisted DevOps tools (GitHub Copilot Azure AI Vertex AI)
• Cloud-based simulation tools

Remote Work :

No

Employment Type :

Full-time