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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing secure Cloud architectures in Microsoft Azure or Amazon AWS, with a strong focus on AI applications and compliance standards. Proficient in Infrastructure as Code using Terraform, Bicep, and implementing CI/CD practices for secure software delivery.
Highest-signal resume keywords
Microsoft Azure Cloud ArchitectureAmazon AWS Cloud ArchitectureInfrastructure as Code (Terraform, Bicep)Cloud Security ExpertiseCI/CD Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud Architecture DesignAI Solutions SecurityIdentity ManagementSecrets ManagementEncryptionNetwork SegmentationTerraformAzure DevOpsGitHub EnterpriseDatabricks
Soft Skills
MentoringCollaborationTechnical Direction
Tools & Technologies
Azure AI ServicesKubernetesAzure FunctionsGitHub ActionsAzure Container Apps
Certifications & Qualifications
Microsoft Certified: Azure Solutions Architect ExpertMicrosoft Certified: Azure Security Engineer AssociateMicrosoft Certified: DevOps Engineer ExpertAWS Certified Solutions Architect - AssociateHashiCorp Terraform Certification
Industry Keywords
Zero-Trust AccessSecure Software DeliveryAudit-Ready EngineeringRuntime IsolationControlled Access
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityFirewallsKubernetesTerraform
About the role
Key responsibilities & impact- Design secure Cloud architectures in Microsoft Azure or Amazon AWS for AI applications, analytics platforms, and enterprise digital products
- Define reference architectures and security patterns for AI solutions consuming data from Databricks and other enterprise data platforms
- Establish secure architecture for AI agents, sandboxed code execution, runtime isolation, network segmentation, and controlled access to enterprise services and data
- Develop standards for identity management, secrets management, encryption, zero-trust access, secure connectivity, logging, monitoring, and auditing
- Define and maintain Infrastructure as Code standards using Terraform, Bicep or ARM
- Lead and support migration initiatives to Azure DevOps or GitHub Enterprise
- Establish modern CI/CD practices, including repository governance, branching strategies, pull request workflows, automated testing, release controls, and deployment approvals
- Create standards for secure software delivery, release traceability, compliance evidence, and audit readiness
- Partner with engineering teams to deliver reusable templates, secure pipelines, and reference Cloud architecture
- Conduct architecture and design reviews, identifying risks and recommending secure, scalable, and maintainable solutions
- Collaborate with Cloud, security, AI, data, quality engineering, compliance, and product teams
- Mentor engineers and contribute to adoption of engineering best practices across cloud, security, DevOps, and AI infrastructure domains
Requirements
What you’ll need- Bachelor’s Degree in IT / Computer Science / Computer Engineering / Cybersecurity / Information Systems or relevant discipline
- At least 3 years of practical experience and design of solutions in Microsoft Azure or Amazon AWS Cloud
- At least 1 year of experience in building or securing AI solutions
- Strong Cloud security expertise, including identity, networking, encryption, secrets management, logging, monitoring, and secure access patterns
- Experience designing secure infrastructure for AI applications, AI agents, APIs, data-consuming applications, or internal developer platforms
- Strong knowledge of network segregation, private endpoints, firewalls, virtual networks, controlled egress, and runtime isolation
- Experience with Terraform, ARM or Bicep for infrastructure provisioning and Cloud architecture enablement
- Experience with GitHub Enterprise, GitHub Actions, repository governance, branch protection, pull requests, and secure CI/CD patterns
- Experience with Azure DevOps, ideally including migration from Azure DevOps to GitHub
- Understanding of secure software delivery, release controls, traceability, and audit-ready engineering practices
- Ability to work hands-on with engineers while also setting architecture direction and technical standards
- Experience with Azure AI services, Azure OpenAI, Azure AI Foundry, agent frameworks, or secure GenAI application patterns
- Experience with Databricks as a data source for downstream applications
- Experience with containers, Kubernetes, Azure Container Apps, Azure Functions, or similar runtime platforms
- Experience with Azure DevOps, GitHub Advanced Security, code scanning, secret scanning, dependency scanning, or policy-as-code
- Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure Security Engineer Associate, Microsoft Certified: DevOps Engineer Expert, AWS Certified Solutions Architect - Associate, GitHub Actions or GitHub Advanced Security certification, or HashiCorp Terraform certification
Benefits
Comp & perks- Coaching and training programs
- Latest technology and tools
- Flexible work arrangements
- Continuous learning opportunities
- Leadership development through insights, coaching and confidence-building
- Diverse and inclusive culture
- Global network of colleagues, mentors and leaders