Similar Jobs
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.
Top Skills:
AgileAi/MlAPIsAzureBig DataCloud ComputingContinuous DeliveryContinuous IntegrationData WarehousingDatabasesDevOpsETLOpen SourceSafeStreaming Applications
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
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Data Technology, you are an integral part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you will be responsible for implementing critical technology solutions across multiple technical areas, supporting various business functions to achieve the firm's business objectives.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Data Technology, you are an integral part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you will be responsible for implementing critical technology solutions across multiple technical areas, supporting various business functions to achieve the firm's business objectives.
Job responsibilities
- Design, develop, and maintain scalable data pipelines and architectures for data processing and integration.
- Build and optimize data systems and infrastructure (e.g., databases, data warehouses, ETL processes).
- Ensure data quality, integrity, and security across all data platforms.
- Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver solutions.
- Implement data governance and best practices for data management.
- Monitor and troubleshoot data pipeline performance and resolve issues.
- Automate repetitive data tasks and processes.
- Document data workflows, architecture, and processes.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with SQL and relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake).
- Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).
- Experience with cloud platforms AWS and data services.
- Knowledge of ETL tools and data integration frameworks.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
Preferred qualifications, capabilities, and skills
- Experience with data modeling and data warehousing concepts.
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Understanding of data privacy and compliance regulations.
JPMorganChase Hyderabad, Telangana, IND Office
JP Morgan Tower, Salarpuria Sattva Knowledge City, HITEC City, Raidurgam, Hyderabad, Telangana, India, 500081
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.


