Devops Expert

About This Role

Being a Senior DevOps Cloud Engineering Specialist means driving digital transformation by designing and enabling scalable, cloud-based ecosystems. This role supports development, testing, simulation, and validation across diverse engineering domains. It requires strong capabilities in cloud infrastructure, DevOps practices, CI/CD pipelines, engineering methodologies, containerization, and virtualization technologies.

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

Requirements

• 12+ 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) and ability 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

Nice to have:

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

Important Details