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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining cloud-native infrastructure for AI workloads, with a strong focus on implementing Infrastructure as Code using Terraform and Bicep. Proficient in managing CI/CD pipelines, ensuring compliance with security standards, and optimizing performance and costs in AI environments.
Highest-signal resume keywords
Cloud-Native Infrastructure DesignInfrastructure as Code (Terraform, Bicep)CI/CD Pipeline ImplementationMicrosoft Azure ExperienceMonitoring and Observability Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
TerraformBicepDockerKubernetesCI/CD Pipeline ImplementationPowerShell ScriptingPython ScriptingAzure DevOpsBitbucketAzure AI Foundry
Soft Skills
Mentoring Development TeamsCollaboration with AI EngineersTroubleshooting Production Incidents
Tools & Technologies
Azure MonitorApplication InsightsGrafanaPrometheusAzure Key VaultMicrosoft Entra ID
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree (Preferred)
Industry Keywords
DevOpsPlatform EngineeringSite Reliability EngineeringMLOpsAI Governance
Tech Stack
Tools & technologiesAzureCloudDockerGrafanaKubernetesPrometheusPythonTerraformVault
About the role
Key responsibilities & impact- Design, build, and maintain cloud-native infrastructure supporting AI workloads
- Manage AI platform environments across development, test, UAT, and production
- Implement Infrastructure as Code using Terraform and Bicep
- Optimize infrastructure performance, costs, resilience, and availability
- Build and maintain CI/CD pipelines for AI and machine learning solutions
- Automate model deployment, validation, testing, and rollback processes
- Support model lifecycle management, versioning, monitoring, and governance
- Enable automated retraining and deployment workflows where required
- Implement security best practices across AI environments
- Manage identities, secrets, certificates, and access controls
- Ensure compliance with organizational security and governance standards
- Conduct vulnerability remediation and platform hardening activities
- Establish monitoring, alerting, logging, and observability frameworks
- Troubleshoot production incidents and perform root-cause analysis
- Define and monitor platform SLAs, SLOs, and operational metrics
- Drive continuous improvement of platform stability and performance
- Partner with AI Engineers and Solution Architects to operationalize AI solutions
- Support production releases and deployment readiness reviews
- Contribute to platform standards, reusable templates, and automation frameworks
- Mentor development teams on DevOps and AI operational best practices
Requirements
What you’ll need- 3+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or a similar role
- Bachelor's degree in computer science, Software Engineering, Data Science, Mathematics, Statistics, or related technical field
- Masters will be an added advantage
- Hands-on experience with Microsoft Azure
- Strong experience with Azure DevOps
- Strong experience with Bitbucket
- Strong experience with Terraform and/or Bicep
- Strong experience with Docker
- Strong experience with Kubernetes (AKS preferred)
- CI/CD pipeline implementation experience
- Experience with monitoring tools such as Azure Monitor, Application Insights, Grafana, or Prometheus
- Strong scripting skills in PowerShell, Python, or Bash
- Experience with one or more of Azure AI Foundry, Azure OpenAI Service, MLOps, model deployment and monitoring, vector databases and retrieval systems, LLM application deployment and operations, or AI governance and operational monitoring
- Experience with Microsoft Entra ID for identity and access management
- Experience with Azure Key Vault for secrets management
- Experience with security scanning and vulnerability management
- Experience working in regulated or enterprise environments
Benefits
Comp & perks- Opportunity to build enterprise-scale AI solutions
- Exposure to the latest Generative AI technologies
- Collaborative and innovation-driven engineering culture
- Career growth within a global technology organization
- The chance to help shape the future of AI-powered enterprise software
- Flexible and hybrid work opportunities
- Inclusive workplace experiences
- Sustainability-focused global organization
- Diverse and collaborative work environment