Devops Expert

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 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

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12+ years of strong hands-on experience in Cloud Engineering, DevOps, or Platform Engineering roles.

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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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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.

Qualifications

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).

Additional Information

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