Lead Software Engineer - Data Engineer,Python,Java,Sql,snowflake,Azure

Core responsibilities include designing, developing, and maintaining application features while also owning CI/CD pipelines, infrastructure automation, deployments, and environment reliability. Develop scalable code and automate build/release processes to support continuous delivery and model lifecycle workflows. Support Azure Foundry-based workloads, including model deployments, agent pipelines, evaluation workflows, and operational monitoring. Collaborate with engineering, cloud, AI, QA, and operations teams to ensure reliable, secure, and scalable delivery. Open to learn and adapt to existing DevOps, Azure AI Foundry frameworks, and engineering practices used by the team.

• 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.

• 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

• Spring Boot, FastAPI, Express.js

• Azure Foundry SDK, Model lifecycle workflows

• Docker images, Helm charts

• Git, Postman, JIRA

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

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

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  Automate cloud infrastructure provisioning using Terraform.

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

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

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

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

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

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

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

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  Participate in Agile ceremonies and contribute to continuous improvement.

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

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

• Years of Experience: 7–9 years of combined DevOps + Development experience

• 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)

• Core programming and scripting. Should have used frameworks for microservices development.

• 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

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.