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Devops Expert

Bosch Group -
Bengaluru, Karnataka

Quick apply

Job details

Full-time
5 days ago

Qualifications

Jira
CI/CD
MATLAB
Cloud infrastructure
Azure
JUnit
Kubernetes
Ansible
DevOps
UNIX
Test automation
Selenium
Git
Google Cloud Platform
Bash (Unix shell)
AWS
Docker
Confluence
Virtualization
Terraform
Continuous integration
Simulink
REST
Scripting
GitHub
VMWare
Linux
Chef
AI
Jenkins
GitLab
Python
PowerShell
AWS CloudFormation

Full job description

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:

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.

Qualifications

Preferred Skills:

Familiarity with standards such as ISO 26262, ASPICE
Exposure to AI/ML tools for automation, testing, or operations (AIOps).

Additional Information

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

Quick apply

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