Lead Software Engineer Java Full Stack Developer

Aumni; Hyderabad; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

JPMorganChase in Hyderabad seeks a Lead Software Engineer to guide design, development, and delivery of secure, scalable software solutions. You will mentor engineers and drive architecture decisions across teams to deliver enterprise-grade platforms.

Expect hands-on work with Java/Spring Boot, REST/GraphQL, and modern data platforms on AWS and Kubernetes, plus building AI-enabled applications and agentic workflows in a fast-paced agile environment.

Qualifications

• Significant software engineering experience with Java/Spring Boot.
• Strong understanding of scalable, secure distributed systems.
• Experience in modern architecture patterns (microservices, API-first).
• Familiarity with CI/CD, containers, and IaC.
• Hands-on with AWS or other clouds; AI-enabled apps a plus.

Responsibilities

• Lead design, development, and delivery of secure, scalable software solutions.
• Mentor engineers and review work; drive architecture decisions.
• Support zero-downtime deployments and platform resilience.
• Automate operations and improve platform stability.
• Develop AI-enabled applications and agentic architectures.

Skills

Java/Spring

Microservices

Distributed Systems

AI/Gen AI

CI/CD

REST/GraphQL

AWS/Kubernetes

Education

Bachelor's degree in CS/SE

Tools

Docker

Kubernetes

AWS

Job description

We have an exciting opportunity to advance your career and drive meaningful impact by pushing the limits of modern engineering.

As a Lead Software Engineer at JPMorganChase within Corporate Technology, you will be a key technical leader within an agile team responsible for designing, building, and delivering secure, scalable, and high-performing technology solutions. You will contribute across multiple domains, partnering with business and technology stakeholders to deliver strategic platforms that enable the firm’s objectives.

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.

Lead and inspire teams to design, build, and deliver secure, scalable, high performing software that powers key business platforms.