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.
Senior DevOps Engineer Overview
The DevOps Engineer plays a critical role in enabling the deployment, scalability, and operational reliability of agentic AI applications in industrial environments.
This role bridges development and operations by building and maintaining the infrastructure, automation pipelines, and system integrations required to bring AI solutions into real-world manufacturing contexts. Working at the intersection of cloud technologies, enterprise IT, and AI engineering,
The DevOps Engineer ensures that our agentic framework runs smoothly, securely, and efficiently—both in customer environments and within Bosch.
Key Responsibilities
Develop and manage Azure CI/CD pipelines and automation workflows to support fast, reliable, and secure delivery of agentic AI applications.
Build and maintain infrastructure components, including container orchestration (e.g., Kubernetes), monitoring/logging, and system health management.
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Collaborate closely with the Engineering Lead Operations, AI engineers, and system integrators to ensure consistent system behavior and streamlined deployment processes.
Implement DevOps best practices for hybrid environments (cloud/on-prem), including environment provisioning, configuration management, and infrastructure-as-code.
Integrate agentic AI components with existing enterprise systems such as MES, ERP, and SCADA platforms.
Support security, compliance, and reliability requirements by embedding appropriate controls into development and operational workflows.
Diagnose and resolve infrastructure issues, performance bottlenecks, and system failures in collaboration with global teams.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
6 to 8 years of IT experience, Hands-on experience with Azure cloud platforms.
Proficiency in DevOps tools and technologies such as Docker, Kubernetes, Terraform, GitHub CI, Helm and monitoring stacks (e.g., Prometheus, Grafana).
Strong scripting and coding skills (e.g., Python, Bash, Go), with experience in backend system integration.
Familiarity with industrial IT environments (MES, ERP, SCADA) and hybrid IT landscapes is a strong plus.
Experience deploying and maintaining large-scale distributed systems in production environments.
Strong problem-solving skills, operational mindset, and ability to work effectively in cross-functional, international teams.
Excellent communication skills in English and a proactive, collaborative attitude
B.E B.Tech
6 to 8 years
