Senior Azure DevOps Engineer

Ardent SoftSol Inc. is seeking a Senior Azure DevOps Engineer to lead the modernization, governance, and scaling of developer tooling platforms with a focus on enterprise AI integration. The role involves managing GitHub Actions, infrastructure as code, Kubernetes, Terraform, enterprise AI platforms, tooling migrations, artifact management, security governance, and dependency management.

Responsibilities:

• Enterprise GitHub Actions Management: Configure, manage, and scale GitHub Actions at an enterprise level. Oversee self-hosted runner infrastructure, runner groups, network/proxy constraints, and secure pipeline designs
• Infrastructure as Code & Orchestration: Leverage Terraform, Docker, and Kubernetes (EKS/AKS) to automate, provision, and scale ephemeral runner environments and platform services
• Enterprise AI & GenAI Platform Enablement :
• Lead the engineering, deployment, and optimization of enterprise AI platforms, coding assistants (e.g., GitHub Copilot or similar), and AI-enabled developer tools
• Design and maintain resilient infrastructures for LLM observability solutions, model gateways, and AI evaluation frameworks
• Manage and scale development platforms utilizing popular agent frameworks
• Tool Migration & Integration: Plan, coordinate, and execute migrations of enterprise-level development tooling from on-prem to SaaS (planning, stakeholder management, phased rollout)
• Artifact & Package Management: Manage and optimize Artifactory architecture, including repository structures (Maven, npm, PyPI, NuGet, Docker), replication, permission structures, and retention policies
• Security & Compliance Governance: Enforce security best practices in CI/CD (least-privilege tokens, environment protection, CODEOWNERS, signed actions). Oversee SonarQube/SonarCloud platform administration, defining Quality Gates and Pull Request analysis
• Dependency Management: Configure and scale Dependabot across diverse ecosystems (scheduling, dependency grouping, security vulnerability remediation)

Requirements:

• 8+ years of experience in Developer Platform Engineering, Systems Administration, or DevOps with a platform-centric focus
• Hands-on Experience with GenAI / AI Infrastructure: Proven experience building, deploying, or supporting enterprise AI platforms, coding assistants, or AI-enabled developer tools
• Technical Familiarity with LLMOps: Experience working with agent frameworks, model gateways, AI evaluation frameworks, and LLM observability solutions
• Advanced, hands-on experience configuring, managing, and scaling GitHub Actions at an enterprise scale (Candidates must demonstrate deep technical understanding beyond listing the tool on a resume)
• Strong, practical experience with Docker, Kubernetes, and Terraform in enterprise environments
• Proven experience migrating at least one major tooling platform (e.g., CI/CD, Artifactory, Sonar) to SaaS
• Solid understanding of package management (JFrog Artifactory) and dependency tools (Dependabot)
• Strong scripting skills (Python, Bash, or Go) and networking fundamentals (TLS, proxies, DNS)