Experience Range (Min–Max): 6-8 years of relevant experience
- 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:
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Certifications in Azure, AWS, Kubernetes, or AI/ML.
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Experience with Kafka administration and distributed messaging systems.
- Strong analytical and troubleshooting skills.
Minimum Qualification
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Must - Hashi Corp Terraform Certified. Azure Cloud Infra Certified, AWS Associate Architect
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Terraform experience, Python Coding Required.
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Gitlab experience for IaC
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Knowledge on code scan tools - SonarQube
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Candidate must possess at least a Graduate or bachelor's degree in computer science/information technology, Engineering (Computer/Telecommunication) or equivalent.
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Cloud deployment: Google cloud platform/amazon/Microsoft azure
Experience in drafting solution architecture frameworks that rely on API’s and microservice
