Lead Software Engineer – Data Engineer, Python, Java, SQL, Snowflake, Azure

Blue Yonder

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

Posted 9/19/2026full-timeBangalore • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, developing, and maintaining cloud-native applications and backend services, with a strong focus on CI/CD automation, infrastructure as code, and container orchestration. Proficient in Azure Cloud technologies, including Azure AI Foundry, and skilled in implementing observability and security best practices.

Highest-signal resume keywords

Azure Cloud ExperienceCI/CD Automation Using GitHub ActionsInfrastructure As Code Using TerraformKubernetes And Docker DeploymentsMicroservices Development With Java, Python, Or Node.js

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CI/CD AutomationMicroservices DevelopmentInfrastructure As CodeREST API DesignSQL And Distributed Data PlatformsSystem DebuggingPerformance TuningRelease AutomationCloud-Native Application DevelopmentObservability Frameworks

Soft Skills

CollaborationProblem-SolvingContinuous Improvement

Tools & Technologies

Azure AI FoundryTerraformKubernetesDockerGitHub ActionsPrometheusGrafanaElasticAzure Key VaultSnowflake

Industry Keywords

DevOpsAgileCloud InfrastructureContainerizationSecurity Best Practices

Tech Stack

Tools & technologies

AzureCloudDockerGrafanaJavaJavaScriptKubernetesMicroservicesNode.jsPrometheusPythonSQLTerraformVault

About the role

Key responsibilities & impact

Design, develop, and maintain backend services and cloud-native applications
Build and automate CI/CD pipelines for application code and Azure AI Foundry models and 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 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
Design, develop, and maintain application features while owning CI/CD pipelines, infrastructure automation, deployments, and environment reliability
Support Azure Foundry-based workloads, including model deployments, agent pipelines, evaluation workflows, and operational monitoring

Requirements

What you’ll need

Bachelor’s degree in computer science, Engineering, or related discipline (or equivalent hands-on experience)
7–9 years of combined DevOps + Development experience
Experience with Azure Cloud and Azure AI Foundry, including model deployment, agent operations, and flow orchestration
Experience developing microservices with Java, Python, or Node.js
Experience with CI/CD automation using GitHub Actions
Experience with Kubernetes, Docker, and container-based deployments
Experience with Infrastructure as Code using Terraform
Experience with REST API design and integration
Experience with SQL and distributed data platforms; Snowflake preferred
Core programming and scripting expertise, with experience using microservices frameworks
Azure Foundry workspace setup, model region support, and model/agent lifecycle management
Git branching strategies and deployment governance
Observability frameworks including Prometheus, Grafana, or Elastic
Secure development practices and secret management using Azure Key Vault
System debugging, performance tuning, and release automation