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Lead Software Engineer Java Full Stack Developer

JPMorgan Chase
Hyderabad, IND
Full-time
Lead
Onsite
Discovered 2 weeks ago
JavaSQLDockerKubernetesAWSOracle

Full Job Posting

Job Responsibilities

  • Lead the design, development, and delivery of innovative software solutions, solving complex problems with creative and forward-thinking approaches
  • Build and maintain high-quality, secure, and production-grade code, while mentoring and reviewing the work of other engineers
  • Drive architecture decisions to ensure scalability, resiliency, and zero-downtime deployments
  • Identify opportunities to automate operational processes and eliminate recurring issues, improving platform stability and efficiency
  • Develop and implement data-intensive and statistical solutions using Java/Scala on large-scale datasets
  • Design and build AI-enabled applications, including AI Agents and agentic workflows
  • Work across hybrid data ecosystems (AWS, Databricks, Kubernetes)
  • Ensure code quality through unit testing, integration testing, and continuous validation practices
  • Collaborate with cross-functional teams to deliver end-to-end solutions aligned with enterprise standards

Required Qualifications, Capabilities, and Skills

  • Significant experience in software engineering with formal training or equivalent practical expertise
  • Strong proficiency in Java and Spring Boot, with working knowledge of SQL and modern front-end frameworks (e.g., React)
  • Demonstrated experience in designing scalable, secure, and resilient distributed systems
  • Strong understanding of modern architecture patterns (microservices, event-driven, API-first)
  • Experience with CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), and Infrastructure as Code
  • Expertise in API design (REST, GraphQL) and integration patterns
  • Hands-on experience building applications on AWS or other public cloud platforms
  • Experience with Generative AI systems, including:
  • RAG (Retrieval-Augmented Generation) architecture
  • AI orchestration frameworks (LangChain, LlamaIndex, etc.)
  • LLM evaluation frameworks and responsible AI practices (guardrails, content filtering)

Preferred Qualifications, Capabilities, and Skills

  • Deep expertise in Java, object-oriented design, and system design
  • Experience with ElasticSearch, Oracle, MongoDB, and modern data platforms
  • Proven experience building AI-enabled applications and agentic architecture
  • Experience developing reusable AI Agent skills/frameworks to accelerate engineering teams.

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