Cloud expert for XC PMT

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. 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