Bosch Group: Cloud expert for XC PMT — bangalore, India

Bosch Group lists a Cloud expert for XC PMT opening in bangalore, India. The position is listed as full-time. The job description covers Python, AWS, Azure, Google Cloud, Kubernetes, Docker, Linux.

Recruitment overview

OrganisationBosch Group
Post / roleCloud expert for XC PMT
Employment typeFull-time
Notification / job IDREF279308N
Job locationbangalore, India
Work arrangementOn-site
Educational qualificationDegree / qualification: B.E/ B
Experience requiredAssociate
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About Bosch Group

Bosch's India activities span mobility, industrial technology, consumer goods, and energy and building technology. Its employer description identifies engineering development, manufacturing and commercial operations within that range. The group operates through multiple Indian businesses, including activities in automotive systems, software and engineering, industrial technology and home appliances. This makes Bosch a collection of related technology businesses rather than a single product operation, with different entities serving different industrial and consumer applications.

The position and its setting

Bosch Group lists Cloud expert for XC PMT in bangalore, India, under reference REF279308N. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Employment type: Full-time
  • Employer listing date: 22 July 2026
  • Contract type: Unlimited
  • Legal Entity: Bosch Global Software Technologies Private Limited
  • Brands: Bosch Group

Responsibilities and work described

  • 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 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
  • Architecture: 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
  • Establishment: cloud-based Verification & Validation (V&V) frameworks, including test automation, simulation, and traceability
  • Leadership: virtualization and containerization strategies to enable reproducible and scalable environments
  • Integration: diverse tools (ALM, DevOps, testing, simulation) into unified cloud-based ecosystems
  • Quality / delivery: best practices in cloud security, compliance, cost optimization, and observability
  • Support: digital engineering initiatives such as model-based development and virtual validation environments
  • Delivery: technical leadership, mentoring, and guidance across teams and domains
  • Continuously evaluate and adopt emerging cloud technologies and tools
  • 6–10 years of hands-on experience in Cloud Engineering, DevOps, or Platform Engineering roles

Essential requirements and candidate background

  • Expertise in at least one major cloud platform (Azure, AWS, or GCP)
  • Should be able to work on any similar company specific platform
  • Experience: designing CI/CD pipelines and DevOps workflows
  • Understanding: engineering processes, methods, and toolchain integration
  • Experience: Verification & Validation (V&V), including test automation and validation strategies
  • Proficiency: scripting and automation (Python, Bash, PowerShell)
  • Experience: containerization and virtualization technologies
  • Understanding: Linux/Unix environments and system troubleshooting
  • B.E/ B
  • Tech

Preferred experience and additional strengths

  • Familiarity: standards such as ISO 26262, ASPICE
  • Exposure: 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

Location, schedule and contract conditions

  • Work arrangement: On-site
  • Advertised location: bangalore, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Cloud expert for XC PMT vacancy is not an offer for reference REF279308N; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Bosch Group

Applications follow the official employer page linked below.

Open the official Bosch Group posting below and match the title and reference REF279308N.

Compare your qualifications and experience with the essential conditions for the bangalore, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

  • Python
  • Kubernetes
  • CI/CD
  • Docker
  • AWS
  • GCP
  • Azure
  • REST APIs
  • AI/ML
  • MATLAB
  • ISO
  • Google Cloud
  • Linux
  • Git

Important links

Official notification / job descriptionOpen official page
Online application portalOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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