Senior AI & DevOps Engineer – Azure, AWS & Generative AI

Senior AI & DevOps Engineer – Azure, AWS & Generative AI

Must-Have Skills

• 10+ years of experience as a DevOps expert in cloud technologies, primarily Microsoft Azure and AWS.
  
• Experience in setting up infrastructure and architecture for DevOps tools such as Git, Jenkins, Ansible, Azure ARM Templates, AWS CloudFormation, etc., including ongoing support.
  
• Hands-on experience in CI/CD automation of build and release strategies and pipelines.
  
• Experience onboarding applications to start using CI/CD automation (e.g., Jenkins pipelines).
  
• Knowledge of infrastructure, network, and application security best practices, including secure transport and storage of sensitive/private data.
  
• Hands-on scripting skills (Python, Ruby, Perl, etc.).
  
• Code management and versioning via GitHub, GitLab, or other code repositories.
  
• Knowledge of ARM Templates and familiarity with containers such as OpenShift, Kubernetes, and Docker.
  
• Expert-level knowledge in Cloud Foundation design and Disaster Recovery scenarios.
  
• Experience preparing complex cloud designs and strong problem-solving skills, including developing and deploying Infrastructure as Code (IaC) using Ansible, Azure Bicep, Terraform, GitHub, or other code repositories.
  

Good-to-Have Skills

• Exposure to Maven/Gradle, Docker, JFrog Artifactory, and Cucumber.
  
• Experience with Docker and Docker orchestration products.
  
• Certification in Azure or AWS DevOps.
  
• Azure Administrator Associate and any one of the Architect certifications – Microsoft Azure 70-534 or 70-535.
  
• Azure Solutions Architect Expert certification.
  
• Azure DevOps Engineer Expert certification.
  
• AWS Certified Solutions Architect certification.
  
• Experience handling multi-cloud platforms.
  

Technical Skills

1. Azure Fundamentals

• Comprehensive understanding of Azure services, solutions, and management tools.
  
• Familiarity with Azure architecture, including regions, availability zones, and resource groups.
  

2. Infrastructure Management

• Proficiency in creating and managing virtual machines, networks, and storage solutions.
  
• Experience with Azure Virtual Network, VPN Gateway, and ExpressRoute.
  

3. CI/CD and DevOps

• Knowledge of continuous integration and continuous deployment (CI/CD) practices.
  
• Experience with Azure DevOps, GitHub Actions, and other CI/CD tools.
  
• Automating deployment processes using pipelines and Infrastructure as Code (IaC) with ARM Templates, Ansible, Bicep, Terraform, or GitLab.
  

4. Identity and Access Management (IAM)

• Managing identities and access with Azure Active Directory (Azure AD).
  
• Implementing role-based access control (RBAC) and managing security policies.
  

5. Database Management

• Expertise in Azure SQL Database, Azure Cosmos DB, and other database services.
  
• Skills in database design, optimization, and maintenance.
  

6. Security and Compliance

• Implementing security best practices and maintaining compliance with industry standards.
  
• Experience with Azure Security Center, Azure Policy, and Azure Sentinel.
  

7. Monitoring and Optimization

• Using Azure Monitor, Log Analytics, and Application Insights for performance monitoring and optimization.
  
• Troubleshooting and resolving issues to ensure high availability and reliability.
  

8. AI Automation

• Building and shipping GenAI or LLM-driven products.
  
• Advanced Python (FastAPI, PyTorch, Hugging Face), plus proficiency in TypeScript/Node.js, Go, or Java.
  
• Production experience on AWS or Azure with GPU workloads (SageMaker, Bedrock, Maven, JFrog, Azure ML).
  
• Strong grasp of algorithms, distributed systems, and data engineering (LangChain, Spark, Kafka, Delta Lake).
  
• Commitment to responsible AI, data governance, and cybersecurity best practices for critical infrastructure.
  

Soft Skills

1. Problem-Solving

• Analytical thinking and the ability to troubleshoot complex issues.
  
• Creativity in designing innovative solutions.
  

2. Communication

• Effective communication with technical and non-technical stakeholders.
  
• Ability to document and present architectural designs and solutions clearly.
  

3. Continuous Learning

• Staying updated with the latest Azure features, best practices, and industry trends.
  
• Pursuing relevant certifications and training programs.
  

Responsibilities

• Set up and support DevOps tools: Jenkins, Git, Ansible, Azure ARM Templates, AWS CloudFormation, etc.
  
• Build and implement CI/CD automation setups for build and release pipelines.
  
• Establish and roll out standard release strategies.
  
• Implement Infrastructure as Code on Azure and AWS using Ansible.
  
• Establish standards based on the organizational ecosystem and industry best practices.
  
• Implement various development, testing, automation tools, and IT infrastructure.
  
• Define and set up development, test, release, update, and support processes for DevOps operations.
  
• Review, verify, and validate software code developed in the project.
  
• Apply troubleshooting techniques and fix code bugs.
  
• Monitor processes throughout the entire lifecycle to ensure adherence and update or create new processes for continuous improvement.