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:
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Architect and manage scalable, secure, and flexible cloud platforms (Azure/AWS/GCP) to support multi-domain engineering needs.
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Design and implement cloud-based CI/CD pipelines integrating development, testing, and validation workflows.
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Enable end-to-end automation across build, test, verification, validation, and deployment processes.
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Define and standardize engineering processes, methods, and toolchains across teams.
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Establish cloud-based Verification & Validation (V&V) frameworks, including test automation, simulation, and traceability.
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Lead virtualization and containerization strategies to enable reproducible and scalable environments.
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Integrate diverse tools (ALM, DevOps, testing, simulation) into unified cloud-based ecosystems.
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Ensure best practices in cloud security, compliance, cost optimization, and observability.
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Support digital engineering initiatives such as model-based development and virtual validation environments.
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Provide technical leadership, mentoring, and guidance across teams and domains.
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Continuously evaluate and adopt emerging cloud technologies and tools.
Required Skills:
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6–10 years of strong hands-on experience in Cloud Engineering, DevOps, or Platform Engineering roles.
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Strong expertise in at least one major cloud platform (Azure, AWS, or GCP). Should be able to work on any similar company specific platform.
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Mandatory Experience in large-scale or multi-tenant cloud environments.
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Proven experience in designing CI/CD pipelines and DevOps workflows.
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Strong understanding of engineering processes, methods, and toolchain integration.
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Experience in Verification & Validation (V&V), including test automation and validation strategies.
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Proficiency in scripting and automation (Python, Bash, PowerShell).
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Hands-on experience with containerization and virtualization technologies.
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Solid understanding of Linux/Unix environments and system troubleshooting.
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Strong problem-solving and cross-domain collaboration skills.
Preferred Skills:
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Familiarity with standards such as ISO 26262, ASPICE
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Exposure to AI/ML tools for automation, testing, or operations (AIOps).
Tools & Technologies (Expected Exposure):
Cloud Platforms:
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Microsoft Azure, AWS, Google Cloud Platform
CI/CD & DevOps:
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GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps
Infrastructure as Code & Automation:
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Terraform, Pulumi, Bicep, ARM Templates, AWS CloudFormation
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Ansible, Chef
Containerization & Orchestration:
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Docker, Kubernetes (AKS, EKS, GKE), OpenShift
Virtualization & Environment Management:
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VMware, Hyper-V, VirtualBox, KVM
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Vagrant
Verification & Validation / Testing:
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Selenium, Cypress, Playwright
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Robot Framework, pytest, JUnit
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Postman, REST Assured
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MATLAB/Simulink (for simulation use cases)
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dSPACE, Vector tools (CANoe/CANalyzer) – where applicable
Observability & Monitoring:
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Prometheus, Grafana, ELK Stack, Loki
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Azure Monitor, AWS CloudWatch, GCP Operations Suite
Security & DevSecOps:
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HashiCorp Vault, Azure Key Vault, AWS Secrets Manager
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Snyk, Trivy, SonarQube, OWASP ZAP
Collaboration & ALM Tools:
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Jira, Confluence, Polarion, Azure Boards
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Git (GitHub, GitLab, Bitbucket)
Emerging & Advanced:
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AI-assisted DevOps tools (GitHub Copilot, Azure AI, Vertex AI)
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Cloud-based simulation tools
Qualifications
B.E/ B.Tech
Additional Information
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