Sr Devops Engineer · Bengaluru

Software:

• Programming: Python, Java, Node.js

• Build & CI/CD: GitHub Actions

• IaC & Config: Terraform, Ansible

• Containers/Orchestration: Docker, Kubernetes (AKS), Helm 3.0

• APIs/Standards: REST, JSON, YAML, OpenAPI

• Databases: Snowflake, PostgreSQL

• Monitoring/Logging: Prometheus, Grafana/ELK/EFK,

• Could Provider: Azure and GCP

• Messaging: Apache Kafka

• SCM: Github

Application Architecture:

• Microservices designed using an API-first approach with agent orchestration and event-driven processing.

• Containerized workloads deployed on Kubernetes for scalable and resilient services.

• Azure Foundry–integrated pipelines enabling model/agent deployments, flows, and execution endpoints.

• Distributed, cloud-native architecture with Git-based release governance and automated deployment workflows.

Cloud Architecture:

• Azure Cloud Services (App Service, AKS, APIM, Key Vault, Storage, Functions)

• Azure AI Foundry: Model deployments, agents, flows, prompt management

• End-to-end governance with GitHub Actions

• Infrastructure-as-Code for provisioning and drift management

Frameworks/Others:

• Spring Boot, FastAPI, Express.js

• Azure Foundry SDK, Model lifecycle workflows

• Docker images, Helm charts

• Git, Postman, JIRA

What you’ll do:

• Design, develop, and maintain backend services and cloud-native applications.

• Build and automate CI/CD pipelines for both application code and AI Foundry models/agents.

• Automate cloud infrastructure provisioning using Terraform.

• Manage Azure Foundry deployments, including model endpoints, agent workflows, service configurations, and lifecycle tracking.

• Deploy containerized workloads on Kubernetes (AKS) and manage Helm-based releases.

• Implement monitoring, alerting, and observability for applications, Foundry agents, and pipelines.

• Perform debugging, root-cause analysis, and environment support for production systems.

• Integrate automation tests and validation steps into CI/CD pipelines.

• Collaborate with product, AI, and engineering teams to build scalable and reliable solutions.

• Maintain strong coding standards, security best practices, and version control discipline.

• Participate in Agile ceremonies and contribute to continuous improvement.

• Identify performance, cost, and security optimization opportunities across cloud and AI workloads.

What we are looking for:

• Education: Bachelor’s degree in computer science, Engineering, or related discipline (or equivalent hands-on experience)

• Years of Experience: 5–7 years of combined DevOps + Development experience

Experience in:

• Azure Cloud and Azure AI Foundry (model deployment, agent operations, flow orchestration)

• Microservices development (Java/Python/Node.js)

• CI/CD automation (GitHub Actions)

• Kubernetes, Docker, container-based deployments

• Infrastructure as Code using Terraform

• REST API design and integration

• SQL and distributed data platforms (Snowflake preferred)

Expertise in:

• Azure Foundry workspace setup, model region support, model/agent lifecycle

• Git branching strategies, deployment governance

• Observability frameworks: Prometheus, Grafana/Elastic

• Secure development practices and secret management (Azure Key Vault)

• System debugging, performance tuning, and release automation