Bosch Chassis Systems India Private Ltd. is hiring a Devops Expert

Job Summary: We are seeking a Senior DevOps Cloud Engineering Specialist with extensive experience in cloud infrastructure, DevOps practices, CI/CD pipelines, engineering methodologies, containerization, and virtualization technologies. 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: 12+ years of strong hands-on experience in Cloud Engineering, DevOps, or Platform Engineering roles. 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: 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