Job Description

Job Summary:

We are seeking a Senior Cloud Engineering Expert with the ability to operate across domains, including engineering processes, methods, toolchains, verification & validation (V&V), and virtualization.

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:

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:

6-10 years of strong hands-on experience in Cloud Engineering, DevOps, or Platform Engineering roles.
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.

Preferred Skills:

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

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

Qualifications

B.E/ B.Tech

Additional Information

9

Cloud expert for XC PMT