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Full-time · Bengaluru

Cloud expert for XC PMT

Bosch · Bengaluru

  • Bengaluru
  • Full-time
  • 6-10 Yrs
  • Engineering
  • Posted 2026-07-22
Apply on Bosch's careers site ↗Free · opens the employer's official posting

Job 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 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

 

B.E/ B.Tech

9

Posting text © Bosch, shown from its public careers page for reference; the employer's page is the authoritative version. Posted 2026-07-22; listed here until 2026-09-20 unless the employer closes it earlier.

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