Dear Applicant,
We at Computacenter have few opportunities for Senior AI DevOps Engineer for Bangalore location.
If this opportunity interests you, please share your updated resume to [Confidential Information] with below details.
Total Experience:
Relevant Experience:
Current CTC:
Expected CTC:
Notice Period:
Life on the team
The Senior Software Developer – Senior AI DevOps Engineer is responsible for designing and delivering enterprise-scale AI and automation solutions that support Computacenter's technology strategy. This role combines software engineering, DevOps, automation architecture, and AI platform expertise to deliver secure, scalable, and maintainable solutions. The Senior Engineer provides technical leadership, mentors junior engineers, and collaborates with architects and stakeholders to establish best practices and drive innovation across automation and AI initiatives.
What you'll do
- Lead the design and implementation of enterprise AI and DevOps solutions.
- Define solution architectures supporting automation, AI, and cloud-native services.
- Create and maintain Infrastructure as Code (IaC) solutions using Terraform and Ansible.
- Design and implement Azure-based AI and automation platforms leveraging Azure AI Foundry and Copilot Studio.
- Drive DevOps maturity through Azure DevOps Boards, Repos, and Pipelines.
- Lead technical discussions, reviews, and architecture workshops.
- Mentor junior developers and provide technical guidance to project teams.
- Establish development standards, security controls, and deployment best practices.
- Collaborate with service management teams to align automation solutions with ITSM processes.
- Evaluate emerging technologies including Agentic AI and intelligent automation frameworks.
- Ensure delivery of scalable, resilient, and supportable enterprise solutions.
What you'll need
Essential
- Strong experience in DevOps engineering and cloud solution delivery.
- Deep understanding of Azure platform services.
- Experience with Solution Architecture and enterprise integration patterns.
- Expertise in Terraform and Ansible.
- Experience with Azure AI Foundry and Copilot Studio.
- Strong knowledge of Agile and DevOps methodologies.
- Experience delivering enterprise-scale automation solutions.
- Strong stakeholder management and communication skills.
- Experience leading technical teams and mentoring engineers.
Desirable
- Knowledge of Agentic Automation frameworks.
- Experience integrating automation with ServiceNow and ITSM processes.
- Strong working knowledge of Azure DevOps Boards, Repos, and Pipelines.
- Experience with AI governance and responsible AI principles.
- Exposure to enterprise platform engineering practices.
Critical Success Factors
- Successful delivery of enterprise-scale AI and automation platforms.
- Establishment of technical standards and engineering best practices.
- Effective mentoring and development of engineering capability.
- High-quality architecture and solution design outcomes.
- Continuous innovation through adoption of emerging AI technologies.
