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    Job · 13953351

    BENGALURU · FULLTIME

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

    Blue Yonder logo

    Blue Yonder

    Bengaluru · onsite · Posted 55d ago

    Sourced fromLinkedIn
    Undisclosed7–9 yrsfulltimeBengaluru

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    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.

    Software Our current technical environment:

    • 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.

    Sourced from linkedin

    Section · 02

    Skills

    Azure cloud servicesKey VaultStorageAPIMApp ServicefunctionsDocker ImagesGITinfrastructure as codeCi/CdAzure Foundry SDKPrometheusGrafanaDockerTerraformKubernetesGithubPostgresqlPostman ToolApache KafkaOpen Apigoogle cloud platformAksAzure StorageAzure App ServiceHelmElkGithub ActionsAzure Key VaultExpress.jsJSONEFKPythonJira AtlassianNode.JsREST APISpring BootJavaSnowflakeMicrosoft AzureAnsibleYamlFastAPIAzure Functionsazure APIMAzure AI FoundryAzure AKSEvent DrivenAPI-firstSQLMicroservices

    Section · Company

    About Blue Yonder

    Blue Yonder logo

    Blue Yonder

    Software Product

    3.8k+

    employees

    1985

    41 years old

    Scottsdale, Arizona

    United States (USA)

    About

    Blue Yonder, formerly JDA Software, has the world's leading digital fulfillment platform and end-to-end supply chain management solutions.

    Industries

    Software Product

    Employee ratings

    682 reviews

    3.6/ 5

    Culture

    3.5

    Career growth

    2.8

    Work-life

    3.7

    Employees rate it well for

    Work Life Balance145Work Culture104Salary70Senior Management63Learning45

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