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Senior Software Developer – Senior AI DevOps Engineer
Computacenter. Lead the design and implementation of enterprise AI and DevOps solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing enterprise AI and DevOps solutions, with a strong focus on Azure platform services, Infrastructure as Code using Terraform and Ansible, and automation integration with ITSM processes. Proven ability to lead technical teams, mentor junior developers, and establish best practices for scalable and resilient solutions.
Highest-signal resume keywords
DevOps EngineeringAzure Platform ServicesTerraformAnsibleSolution Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Infrastructure as CodeAutomation SolutionsEnterprise Integration PatternsAgile MethodologiesAI GovernanceResponsible AI PrinciplesAgentic Automation FrameworksAzure DevOps BoardsAzure DevOps ReposAzure DevOps Pipelines
Soft Skills
Stakeholder ManagementCommunication SkillsMentoringTechnical Guidance
Tools & Technologies
Azure AI FoundryCopilot StudioServiceNow
Industry Keywords
Enterprise AICloud-Native ServicesDevOps MaturityITSM ProcessesEnterprise Platform Engineering
Tech Stack
Tools & technologiesAnsibleAzureCloudITSMServiceNowTerraform
About the role
Key responsibilities & impact- 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 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
Requirements
What you’ll need- 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
- 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
Benefits
Comp & perks- Friendly, open working environment
- Teamwork and performance-focused culture
- Supportive and empowering workplace
- Mentoring and development opportunities