Senior AI DevOps Engineer

Computacenter

Bengaluru

On-site

INR 1,800,000 - 2,700,000

Full time

14 days+

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Job summary

Computacenter is seeking a Senior Software Developer in Bangalore to design and deliver enterprise-scale AI and automation solutions, combining software engineering, DevOps, automation architecture and AI platform expertise.

You will mentor junior engineers, lead architecture workshops, define standards, and collaborate with architects and service management to align ITSM processes. The role emphasizes secure, scalable, maintainable solutions and innovation across automation initiatives.

Qualifications

  • Must have extensive experience in DevOps and cloud-based solution delivery.
  • Strong background in Azure platform services and enterprise integration.
  • Proven ability to lead architecture discussions and set technical direction.

Responsibilities

  • Lead the design and implementation of enterprise AI and DevOps solutions.
  • Define architectures for automation, AI, and cloud-native services.
  • Create IaC via Terraform and Ansible.
  • Design Azure-based AI and automation platforms leveraging Azure AI Foundry and Copilot Studio.
  • Advance DevOps maturity using Azure DevOps Boards, Repos, and Pipelines.
  • Provide technical leadership and mentor junior engineers.

Skills

DevOps engineering
Azure platform
Solution Architecture
Terraform
Ansible
Azure AI Foundry
Copilot Studio
Agile methodologies
Stakeholder management
Mentoring

Tools

Terraform
Ansible
Azure DevOps Boards
Azure DevOps Repos
Azure Pipelines
ServiceNow
Copilot Studio
Azure AI Foundry

Job description

Senior Software Developer Location: IN - Bangalore 24/7 | Job-ID: 218807 | Contract type: Standard | Business Unit: Information Technology Life on the team The Senior Software Developer 9aDevs 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 youll 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 youll 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.
About us

Computacenter is a leading independent provider of IT infrastructure services, with about 21,000 employees worldwide. We work at the heart of digitisation, advising organisations on IT strategy, implementing the most appropriate technology and managing our customers7 infrastructures. We offer a friendly, open working environment without too much fuss about hierarchy. We are looking for professionals with diverse competencies, personalities and strengths who want to live our shared value of teamwork and performance. Interested in joining a company with a strong sense of community? We7re growing. We7re hiring. We encourage. We empower. We support. #winningtogether #peoplematter Experience Level Senior Level

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