Lead Software Engineer Java Full Stack Developer

JPMorgan Chase & Co.; Hyderabad; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

JPMorgan Chase & Co. in Hyderabad, India, is seeking a Manager of Software Engineering to lead design, development, and delivery of innovative software solutions. You will mentor engineers, drive scalable architectures, and champion AI-assisted development within Corporate Technology.

The role emphasizes secure, production-grade code, data-intensive workloads, and collaboration across cross-functional teams in a hybrid data ecosystem. This is a senior leadership engineering role.

Qualifications

• 10+ years of hands-on software engineering experience with formal training or equivalent.
• Strong proficiency in Java and Spring Boot; SQL and React knowledge.
• Designing scalable, secure distributed systems with modern architectures.

Responsibilities

• Lead design, development, and delivery of innovative software solutions.
• Mentor engineers, ensure code quality and production-grade output.
• Drive architecture decisions for scalability, resiliency, and zero-downtime deployments.
• Automate operations and improve platform stability and efficiency.
• Develop data-intensive solutions using Java/Scala on large datasets.
• Design AI-enabled applications and agentic workflows.
• Promote enterprise AI-assisted SDLC practices and automation.
• Collaborate across hybrid data ecosystems (AWS, Databricks, Kubernetes).
• Ensure secure handling of inputs/outputs and governance expectations.

Skills

Java

Spring Boot

SQL

React

Distributed systems

Microservices

API design

CI/CD pipelines

Docker

Kubernetes

AWS

Generative AI

Tools

AWS

Databricks

LangChain

LlamaIndex

Job description

Join us to advance your software engineering career while building impactful technology solutions. Grow your skills and make a difference with a collaborative team.

As a Manager of Software Engineering at JPMorgan Chase within Corporate Technology , you will lead the design, development, and delivery of innovative software solutions.

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
• Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives.
• 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

• 10+ years of hands-on 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 leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.
• 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: (Retrieval-Augmented Generation) architecture, AI orchestration frameworks (LangChain, LlamaIndex, etc.) and 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