Lead Software Engineer - Devops, Python, Azure

blueyonder

Bengaluru, India 5 Years Exp Posted 18d ago

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