Devops Engineer

Job Description:

Senior DevOps Engineer Azure AKS Automation & AI Enablement

Role Summary

We are seeking a highly skilled Senior DevOps Engineer with deep expertise in Azure infrastructure cloud networking and particularly Azure Kubernetes Service (AKS). The ideal candidate will have strong experience in InfrastructureasCode (IaC) using Terraform and working knowledge of Ansible for configuration management.

This role requires someone who is not only technically strong but also forwardthinking with a mindset to experiment with AI adopt MCPs and use AI-driven automation to improve speed reliability and developer productivity across the engineering ecosystem.

The candidate must also have proven experience building and optimizing Azure DevOps (ADO) pipelines and familiarity with GitHub Actions is a strong plus.

Key Responsibilities

Cloud Infrastructure & AKS

• Design deploy and maintain Azure infrastructure including VNets subnets firewalls Application Gateways Private Links and NSGs.
• Architect configure and optimize AKS clusters including node pools autoscaling workload identity networking models and cluster governance.
• Implement secure cluster networking (CNI Azure CNI overlay ingress controllers).

Automation & Infrastructure-as-Code

• Build and maintain reusable IaC modules using Terraform (preferred) and Ansible.
• Ensure consistent environment provisioning across dev QA staging and production.
• Implement GitOps-style workflows for deployments and infrastructure state management.

DevOps CI/CD & Observability

• Design build and maintain Azure DevOps pipelines for build deploy test and security automation.
• Contribute to OR lead migration or parallel adoption of GitHub Actions workflows.
• Enhance observability with tooling such as Azure Monitor Log Analytics Prometheus/Grafana and distributed tracing solutions.

AI-Driven Engineering & MCP Automation

• Identify opportunities to use AI agents MCPs and automation frameworks to accelerate deployments detect issues earlier or simplify operational processes.
• Create AI-based workflows and scripts for faster infrastructure debugging document generation or environment provisioning.
• Encourage and influence a culture of AI-first engineering experimentation.

Security Governance & Compliance

• Implement best practices in Azure security including workload identity RBAC Key Vault managed identities and network isolation.
• Collaborate with architecture security and infra teams to ensure compliance with enterprise standards.

Required Skills & Experience

Core Cloud & Kubernetes Skills

• 610 years in DevOps SRE or cloud engineering roles.
• Strong knowledge of Azure infrastructure (networking compute storage identity).
• Deep hands-on experience with AKS cluster architecture operations and scaling.
• Proficiency in containerization (Docker) container security and Kubernetes networking.

Automation & IaC

• Strong experience in Terraform for multi-environment IaC.
• Working knowledge of Ansible for provisioning and configuration.
• Solid understanding of GitOps principles (Argo CD or Flux is a plus).

CI/CD & Code Repositories

• Strong experience building Azure DevOps pipelines (YAML-based preferred).
• Knowledge of GitHub Actions and workflow optimization.

Scripting & Tooling

• Proficiency in PowerShell Bash or Python scripting.
• Experience with Helm Kustomize and Kubernetes package management.

AI Mindset & Continuous Innovation

• Curiosity and drive to adopt AI/automation tools to enhance engineering velocity.
• Ability to create or integrate AI-driven workflows and MCPs.

Preferred / Nice-to-Have

• Experience implementing service mesh (Istio/Linkerd).
• Exposure to Azure API Management (APIM).
• Experience with cost optimization and FinOps practices.
• Previous work with Azure Container Apps Functions or event-driven architecture.
• Understanding of SRE principles (SLIs SLOs error budgets).

Candidate Profile

This role is ideal for someone who:

• Thrives in modern cloud-native environments.
• Can own end-to-end DevOps engineering for large-scale distributed systems.
• Has a builder and automator mindset especially using AI tools.
• Enjoys improving engineering workflows and reducing toil.
• Stays updated on DevOps Kubernetes and AI automation trends.

At DXC Technology we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing productivity individual work styles and life circumstances. Were committed to fostering an inclusive environment where everyone can thrive.

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