JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Java Low Latency

Backend EngineeringPosted on Nov 11

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 5 years of applied experience.
Strong understanding of Java 17+ fundamentals and frameworks such as Spring Boot, object-oriented programming paradigms, multithreading, messaging technologies, and computer networks.
Experience with low-latency programming techniques and technologies such as inter-process communication, memory-mapped files, and ring buffers.
Experience with gRPC and Google Protocol Buffers.
Experience working on distributed systems and detailed knowledge of distributed systems design patterns.
Detailed knowledge of relational database technologies such as PostgreSQL and CockroachDB, including database resiliency, recoverability, scalability, and security.
Experience with event-driven architecture and distributed messaging technologies such as Kafka.
Experience with diagramming software such as Lucid, Draw.io, or Visio, and technical writing.
Understanding of the full software development lifecycle and agile methodologies.
Demonstrated experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, and setting team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

Responsibilities

Design and develop robust, high-performance, latency-sensitive code; incorporate security requirements; review team members’ code using software engineering best practices; and write secure, high-quality code and automated tests.
Work with Product Owners, Solutions Analysts, Technical Architects, and Senior Engineers to design technical approaches, translate business requirements into technical solutions, recommend alternative technical and business approaches, and lead engineering efforts to meet timelines with optimal solutions.
Refine technical aspects of epics in collaboration with Solutions Analysts.
Produce architecture and design artifacts for complex applications and ensure design constraints are met by code.
Drive architectural reviews, code reviews, and business demonstrations.
Assess compliance, risks, and vulnerabilities to ensure systems and baselines are operationally sound, performant at scale, and meet customer expectations.
Contribute to the ongoing development of the team through recruitment, paired programming, peer review, and mentoring.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establish validation standards for secure coding, peer review, and automated testing; and promote reuse of effective patterns across the team.
Apply knowledge of software development lifecycle toolchain capabilities, including enterprise-authorized AI-assisted development and automation, to improve the value realized by automation.

Desired Qualifications

Hands-on experience with another statically compiled language such as Golang, Rust, or C++.
Experience with caching technologies such as Apache Ignite, GridGain, Hazelcast, or Redis.
Experience with infrastructure-as-code software such as Terraform.

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 Commercial & Investment Bank, Payments Technology, you are 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, incorporate security requirements and reviewing 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 design the best technical design and approach for technical development. Translates business requirements into technical solutions, recommend alternative technical and business approaches, and lead engineering efforts to meet ambitious timelines with optimal solutions.
Helps refine the technical aspects of epics in collaboration with the Solutions Analysts.
Translates business requirements into technical solutions, recommend alternative technical and business approaches, and lead engineering efforts to meet ambitious timelines with optimal solutions.
Produces architecture and design artifacts for complex applications while being accountable for 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.
Contributes to the on-going development of the team, including recruitment, paired programming, peer review and mentoring.
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.

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 (e.g. Spring Boot), OO programming paradigms, multi threading, messaging technologies, and computer networks. Experience of low-latency programming techniques and technologies (e.g. Inter-Process Communication, Memory-Mapped Files and Ring Buffers).
Experience with gRPC and Google Protocol Buffers. Experience of working on distributed systems and detailed knowledge of distributed systems design patterns.
Detailed knowledge of relational database technologies (e.g., PostgreSQL and CockroachDB), database resiliency, recoverability, scalability, and security.
Experience with event-driven architecture and distributed messaging technologies (Kafka). Experience with diagramming software (e.g., Lucid, Draw.io, Visio) and technical writing.
Passion for technical innovation and staying up to date with emerging technologies.
Understanding of the full software development lifecycle and agile methodologies.
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

Preferred qualifications, capabilities, and skills

Hands on experience another statically compiled language like Golang, Rust or C++.
Experience with caching technologies, e.g. Apache Ignite, GridGain, Hazelcast or Redis.
Experience with infrastructure as code software, e.g. Terraform

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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