AI DevOps Engineer Full Time NEW

• Top Three Mandatory Skills: Must – Hashi Corp Terraform Certified. Azure Cloud Infra Certified, AWS Associate Architect, Experience with Azure OpenAI, AWS Bedrock, vector search, embeddings, retrieval augmented generation, and agent orchestration.
• Certifications (Required/Preferred): Terraform or Architect (Azure/AWS) Agentic AI certificates (good to have)

Description

Key responsibilities include:

• Designing and deploying agentic AI systems using Azure OpenAI, AWS Bedrock, and other LLM platforms.
• Must have experience on Models – GPT4.1, NovaPro, Document Intelligence, text embedding.
• Integrating AI agents with enterprise systems, APIs, databases, and event-driven architectures.
• Managing Azure AI Search indexes, vector embeddings, and retrieval pipelines.
• Optimizing LLM models and building retrieval-augmented workflows.

Cloud Platform Responsibilities Include

• Managing Azure Kubernetes Service clusters for AI workloads.
• Create and manage autoscaling of cluster, scale cluster/ nodepools based on usage.
• Create Ingress for usecase under Agentic AI projects, Manage Pods, understand logs and share insights with applications team
• Create and manage Pods, Secrets, Services, PV, PVCs
• Administering Azure Storage Accounts, Cosmos DB, and PostgreSQL Flexible Server.
• Implementing cross‑subscription connectivity, VNet peering, routing tables, and secure network design.
• Managing Kafka clusters and Azure Service Bus namespaces.
• Ensuring observability using Azure Monitor, Log Analytics, Grafana, or similar tools.

DevOps Responsibilities Include

• Building and maintaining GitLab CI/CD pipelines for application and infrastructure deployments.
• Work with team for creating branches and merge requests, code review and validate the deployments
• Developing Infrastructure‑as‑Code using Terraform, Bicep, or ARM templates.
• Automating provisioning of cloud and AI environments.
• Managing GitLab repositories, branching strategies, and deployment workflows.

Security And Governance Responsibilities Include

• Implementing cloud governance frameworks aligned with PCI and banking regulations.
• Enforcing firewalls, NSGs, private endpoints, and zero‑trust architecture.
• Ensuring encryption, secure access patterns, and compliance across all AI and cloud services.

Database Responsibilities Include

• Managing PostgreSQL Flexible Server with performance tuning, HA, and backup/restore.
• Create DB and users
• Knowledge on Managed Identity and Service Principles
• Administering Cosmos DB with indexing, partitioning, and throughput optimization.
• Overseeing data ingestion and storage for AI and analytics workloads.

Collaboration Responsibilities Include

• Working with product owners, data scientists, and application teams to deliver end‑to‑end AI solutions.
• Providing technical leadership and guidance on AI, cloud, and DevOps best practices.
• Supporting troubleshooting, performance optimization, and production incident resolution.
• Coordinate with Enterprise Architect team for project executions

Required Skills And Experience Include

• Experience with Azure OpenAI, AWS Bedrock, vector search, embeddings, retrieval‑augmented generation, and agent orchestration.
• Expertise in Azure services such as AKS, Storage, Cosmos DB, PostgreSQL Flexible Server, and Service Bus.
• Strong understanding of VNet design, routing tables, firewalls, private endpoints, and cross‑subscription networking.
• GitLab expertise for CI/CD and IaC.
• Knowledge of PCI DSS, cloud governance, identity management, and secure cloud patterns.
• Experience in banking or financial services environments.

Preferred Qualifications Include

• Certifications in Azure, AWS, Kubernetes, or AI/ML.
• Experience with Kafka administration and distributed messaging systems.
• Strong analytical and troubleshooting skills.

Minimum Qualification

• Must – Hashi Corp Terraform Certified. Azure Cloud Infra Certified, AWS Associate Architect
• Terraform experience, Python Coding Required.
• Gitlab experience for IaC
• Knowledge on code scan tools – SonarQube
• Candidate must possess at least a Graduate or bachelor’s degree in computer science/information technology, Engineering (Computer/Telecommunication) or equivalent.
• Cloud deployment: Google cloud platform/amazon/Microsoft azure

Experience in drafting solution architecture frameworks that rely on API’s and microservice