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