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.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.AWS Certified Solutions Architect certification.Experience handling multi-cloud platforms.Technical Skills
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.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.
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