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Jda

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

Bangalore

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What you’ll work on

Full posting

  • 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.

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

From the employer’s posting
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.
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.
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.

What you’ll bring

All qualifications

Core experience

  • SQL and distributed data platforms

Preferred experience

  • Snowflake preferred
Qualification wording
SQL and distributed data platforms (Snowflake preferred)
Education & alternatives
What we are looking for: - 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

Tools in this posting

  • Java
  • Python
  • Azure
  • Docker
  • Kubernetes
  • Snowflake
  • Terraform
  • Fastapi
  • SQL
  • Google Cloud (GCP)
  • Kafka
  • PostgreSQL
  • Grafana
  • Node.js
Source — Tool mentions in context
Software: - Programming: Python, Java, Node.js - Build & CI/CD: GitHub Actions
- Azure Cloud and Azure AI Foundry (model deployment, agent operations, flow orchestration) - Microservices development (Java/Python/Node.js) - CI/CD automation (GitHub Actions)
Scope: 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. Our current technical environment:
- Monitoring/Logging: Prometheus, Grafana/ELK/EFK, - Could Provider: Azure and GCP - Messaging: Apache Kafka
- 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
- 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
- Spring Boot, FastAPI, Express.js - Azure Foundry SDK, Model lifecycle workflows - Docker images, Helm charts
- 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.
Experience in: - Azure Cloud and Azure AI Foundry (model deployment, agent operations, flow orchestration) - Microservices development (Java/Python/Node.js)
- 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
- IaC & Config: Terraform, Ansible - Containers/Orchestration: Docker, Kubernetes (AKS), Helm 3.0 - APIs/Standards: REST, JSON, YAML, OpenAPI
- Azure Foundry SDK, Model lifecycle workflows - Docker images, Helm charts - Git, Postman, JIRA
- CI/CD automation (GitHub Actions) - Kubernetes, Docker, container-based deployments - Infrastructure as Code using Terraform
- 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.
- 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.
- APIs/Standards: REST, JSON, YAML, OpenAPI - Databases: Snowflake, PostgreSQL - Monitoring/Logging: Prometheus, Grafana/ELK/EFK,
- REST API design and integration - SQL and distributed data platforms (Snowflake preferred) Expertise in:
- Build & CI/CD: GitHub Actions - IaC & Config: Terraform, Ansible - Containers/Orchestration: Docker, Kubernetes (AKS), Helm 3.0
- 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.
- Kubernetes, Docker, container-based deployments - Infrastructure as Code using Terraform - REST API design and integration
Frameworks/Others: - Spring Boot, FastAPI, Express.js - Azure Foundry SDK, Model lifecycle workflows
- Could Provider: Azure and GCP - Messaging: Apache Kafka - SCM: Github
- Databases: Snowflake, PostgreSQL - Monitoring/Logging: Prometheus, Grafana/ELK/EFK, - Could Provider: Azure and GCP
- Git branching strategies, deployment governance - Observability frameworks: Prometheus, Grafana/Elastic - Secure development practices and secret management (Azure Key Vault)

Job description

View original posting ↗

Scope:

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.

Our current technical environment:

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: 7–9 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:

  • 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

    Our Values


    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.

    Your next step

    • Have your CV and examples of relevant work ready.
    • Check the listed location, eligibility and core experience before starting.
    • Ask the employer about the salary range before committing time to the process.

    Complete your application on jda.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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    Source & posting history

    View original posting ↗

    Source notes

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    Pay

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    Location & working pattern

    Bangalore

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    Open source at jda.wd5.myworkdayjobs.com ↗Read the full description ↓
    Status in our records
    Active
    First seen by us
    Aug 26, 2026
    Recorded sightings
    75
    Last seen by us
    Oct 10, 2026

    These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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