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Artificial Intelligence • Cloud • Information Technology • Consulting
Designs and maintains network topology management and configuration systems for HPE’s hybrid cloud platform. Responsibilities include developing topology discovery pipelines, debugging distributed systems, improving reconciliation and observability, building diagnostic tooling, supporting network configuration workflows, enhancing operational UIs, and driving reliability, scalability, testing, monitoring, and incident response. The role requires strong Java, networking, network-device, API, pipeline, and production troubleshooting expertise, with preferred React, TypeScript, CI/CD, and resilient cloud architecture experience.
Top Skills:
APIsArista EosArubaAsynchronous WorkflowsBgpCi/CdCisco IosCisco Ios XeCisco Nx-OsContainerlabDockerGreIpsecJavaJunosL2/L3 NetworkingMicroservicesNetlabPostmanReactRoutingSnmpTypescriptVlan
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead modernization of legacy data ingestion, ETL, database, and analytics platforms into Azure-based cloud and big data solutions. Design enterprise data architectures, APIs, streaming applications, and reusable engineering frameworks. Ensure security and regulatory compliance for healthcare data, promote engineering best practices and open source, evaluate emerging technologies, collaborate across teams, and mentor junior engineers.
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Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead the architectural vision and technology strategy for an AI-powered decision intelligence platform. Design scalable, secure, cloud-native solutions using enterprise architecture, cloud, data, AI, and modern engineering practices. Establish architecture, security, and DevSecOps standards; partner with cross-functional leaders on roadmaps and complex technical challenges; mentor architects and senior engineers; and promote technical excellence. The role requires extensive enterprise software engineering and architecture leadership experience, preferably with Azure, GenAI, Agentic AI, and healthcare expertise.
Top Skills:
Agentic AiAPIsAzureAzure Ai ServicesAzure OpenaiCopilotDatabasesDevsecopsDistributed SystemsGenerative AiIntegration ArchitectureMessagingMicroservicesMlopsOrchestration FrameworksRagVector Databases
Design, develop, test, and maintain enterprise Java microservices on Azure; build automated tests; drive cloud-native architecture, reliability, security, and scalability; represent product and technical roadmaps and mitigate technical risks.
Scope:
- Develop features across multiple sub modules within our applications, including collaboration in requirements definition, prototyping, design, coding, testing, debugging, effort estimation, and continuous quality improvement of the design & code and deployment.
- Design, develop and manage automated unit and acceptance tests
Our current technical environment:
- Software: Java, Springboot, Gradle, GIT, Hibernate, Rest API, OAuth
- Application Architecture: Scalable, Resilient, event driven, secure multi-tenant Microservices architecture
- Cloud Architecture: MS Azure (ARM templates, AKS, HD insight, Application gateway, Virtue Networks, Event Hub, Azure AD)
- Frameworks/Others: Kubernetes, Kafka, Elasticsearch, NOSQL, RDBMS, Springboot, GITHub
What you’ll do:
- Drive architecture and designs to become simpler, more robust, and more efficient.
- Write and review service descriptions including relevant measures of service quality and drives architecture to deliver on these promises through self-healing, reliable services that require minimum manual intervention.
- Provide early visibility and mitigation to technical challenges through the journey.
- Confidently represents product and portfolio, including vision and functional and technical roadmaps, within the company and, when necessary, to strategic customers
What we are looking for:
- Bachelor’s degree (STEM preferred) and minimum 8 to 10 years of experience in Software development
- Strong programming experience and background in Enterprise Java
- Demonstrable experience Java, Springboot, Microservices, designing, building deploying and maintenance of enterprise cloud solutions in Azure
- Demonstrable experience with microservices based architecture on Cloud at scale.
- Experience with implementation of Event driven architecture using Kafka, Spark or similar technologies
- Hands-on development skills along with architecture/design experience; should not have moved away from software development
- Demonstrable experience, thorough knowledge and interests in Cloud native architecture, Distributed micro-services, Multi-tenant SaaS solution and Cloud Scalability, performance and High availability
- Experience with API management platforms & providing / consuming RESTful APIs
- Experience with varied tools such as Spring Boot, OAuth, REST, GraphQL, Hibernate, NoSQL, RDBMS, Docker, Kubernetes, Kafka, React.
- Experience with DevOps, Infrastructure as Code and infrastructure automation.
- Good Understanding of secure architectures, secure configuration, identity management.
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.
Blue Yonder Bengaluru, Karnataka, IND Office
Tower A, Mantri Commercio, Nr Sakra World Hospital, Outer Ring Road, Bengaluru, India, 560103
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
