Lead Software Engineer - Java, Low Latency (Payment domain)

JPMorgan Chase & Co.; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru, India is seeking a Lead Software Engineer specializing in Java for low-latency payment domain, to contribute to high-performance, secure, scalable systems.

You will be an integral member of an agile team delivering trusted technology products across the firm. The role emphasizes design, code quality, reviews, and collaboration with product owners and architects to meet aggressive timelines with robust solutions.

Qualifications

• Formal training or certification on software engineering concepts.
• 5+ years applied experience in software development.
• Excellent understanding of Java 17+ fundamentals and Spring Boot frameworks.
• Strong knowledge of object-oriented programming, multithreading, and networking.
• Experience with low-latency programming techniques and IPC, memory-mapped files, ring buffers, gRPC, and Protocol Buffers.
• Experience with distributed systems and relational databases (PostgreSQL, CockroachDB).
• Experience with distributed messaging (Kafka) and AI-assisted software development tools.

Responsibilities

• Designs and develops high-performance, latency-sensitive Java code with security in mind.
• Writes secure code and automated tests.
• Collaborates with Product Owners, Analysts, Architects, and Senior Engineers to define technical design.
• Translates business requirements into technical solutions and guides engineering efforts to meet timelines.
• Produces architecture and design artifacts for complex applications and ensures design constraints are met.
• Drives architectural reviews, code reviews, and demos to stakeholders.
• Assesses compliance, risks, and security; ensures scalable operation.
• Promotes enterprise AI-assisted engineering practices and sets validation standards.
• Utilizes SDLC tools to improve automation and value.
• Contributes to team development including mentoring and paired programming.

Skills

Java 17+

Spring Boot

OOP

Multithreading

Low-latency

gRPC/Protobuf

Distributed systems

PostgreSQL

Kafka

AI-assisted tooling

Responsible AI

Diagramming tools

SDLC/Agile

Technical writing

Tools

PlantUML

Lucid

Draw.io

Visio

Terraform

Job description

Lead Software Engineer - Java, Low Latency (Payment domain)

Job Information

• Job Identification 210775759
• Job Category Software Engineering
• Business Unit Commercial & Investment Bank
• Posting Date 08/06/2026, 09:32 AM
• Job Schedule Full time

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 JPMorganChase within the Commercial & Investment Bank, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Designs and develops robust, high-performance, latency-sensitive code; incorporates security requirements; and reviews code written by team members using software engineering best practices.
• Writes secure, high-quality code and automated tests.
• Works closely with Product Owners, Solutions Analysts, Technical Architects, and Senior Engineers to define the best technical design and development approach.
• Translates business requirements into technical solutions, recommends alternative technical and business approaches, and leads engineering efforts to meet ambitious timelines with optimal solutions.
• Helps refine the technical aspects of epics in collaboration with Solutions Analysts.
• Produces architecture and design artifacts for complex applications while ensuring design constraints are met by code.
• Drives architectural reviews, code reviews, and business demos.
• Assesses compliance, risks, and vulnerabilities to ensure all systems and baselines are operationally sound, performant at scale, and exceed customer expectations.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• 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.
• Contributes to the ongoing development of the team, including recruitment, paired programming, peer review, and mentoring.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Excellent understanding of Java 17+ fundamentals and frameworks such as Spring Boot
• Strong knowledge of object-oriented programming paradigms, multithreading, messaging technologies, and computer networks
• Experience with low-latency programming techniques and technologies such as Inter-Process Communication (IPC), memory-mapped files, and ring buffers. Experience with gRPC and Google Protocol Buffers
• Experience working on distributed systems, including detailed knowledge of distributed-systems design patterns
• Detailed knowledge of relational databases (e.g., PostgreSQL, CockroachDB) including resiliency, recoverability, scalability, and security
• Experience with distributed messaging technologies such as Kafka
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Experience with diagramming tools (PlantUML, Lucid, Draw.io, Visio) and technical writing; passion for technical innovation, staying current with emerging technologies, understanding the SDLC and agile methodologies, and demonstrated coaching/mentoring experience

Preferred qualifications, capabilities, and skills

• Hands-on experience with another statically compiled language such as Golang, Rust, or C++.
• Experience with Apache Ignite, GridGain, Hazelcast, or Redis.
• Experience with infrastructure as code software such as Terraform.
• Awareness of key architectural patterns/approaches, algorithms, data structures, cryptography, security protocols (e.g., TLS and OAuth/OIDC), secure system design and Threat Modelling.