JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Java - Multiple Teams

Backend EngineeringPosted on Nov 5

Full-timeHyderabad, Telangana, 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 system design skills for distributed systems, including scalability, resiliency, security, and performance best practices.
Advanced proficiency in Java 17 or 21 and later, and Spring Boot for scalable RESTful microservices.
Strong command of Kafka for event-driven architectures, including topic design, partitions, consumer groups, and delivery semantics.
Strong hands-on coding expertise in Java and experience with Spring Boot or Spring Framework, AWS Cloud, and Kafka, including deep expertise in event streaming and messaging.
In-depth knowledge of Cassandra for distributed data modeling, partition strategy, and query tuning at scale.
Extensive experience with AWS data lake and ETL technologies, including S3, Glue, EMR, Lambda, and Step Functions, and Maven for build and dependency management.
Expertise in containerization and orchestration using Docker and Kubernetes, deploying workloads on AWS EKS and ECS.
Hands-on expertise in Apache Spark for batch and streaming data processing and performance optimization.
Proven capability in Jenkins-based CI/CD automation, including pipelines, quality gates, artifact publishing, and deployments.
Effective use of AI agents and skills for coding assistance, test generation, refactoring, documentation, and faster troubleshooting.
Experience leading the use of approved AI-assisted software development tools for coding, code review, test acceleration, and troubleshooting, including setting team expectations for validating AI outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

Responsibilities

Execute software solutions, design, development, and technical troubleshooting, using approaches beyond routine methods to build solutions and break down technical problems.
Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
Use enterprise-authorized AI coding assistance in the work environment to improve code quality, delivery speed, and productivity across complex deliverables, including code generation and refactoring, unit-test creation, and documentation; validate outputs through peer review, automated testing, and secure coding standards, and contribute reusable patterns and learnings.
Apply software development life cycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation, to improve the value realized through automation.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, including code review and refactoring, test strategy acceleration, and incident and root-cause analysis support; establish validation standards and promote effective pattern reuse.
Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to continuously improve software applications and systems.
Identify hidden problems and patterns in data and use the insights to improve coding hygiene and system architecture.

Desired Qualifications

Familiarity with modern front-end technologies.
Experience with Cassandra and Python.

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 Consumer and Community Banking - Trust and Security, 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

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
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.
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
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Excellent system design skills for designing distributed systems with scalability, resiliency, security, and performance best practices.
Advanced proficiency in Java (17/21+) and Spring Boot for building scalable RESTful microservices.
Strong command of Kafka for event-driven architectures, including topic design, partitions, consumer groups, and delivery semantics.
Strong experience in Java (Strong hands-on coding expertise), Spring Boot / Spring Framework, AWS Cloud and Kafka (Deep expertise in event streaming and messaging)
In-depth knowledge of Cassandra for distributed data modeling, partition strategy, and query tuning at scale.
Extensive experience with AWS data lake & ETL technologies (S3, Glue, EMR, Lambda, Step Functions) and Maven for build/dependency management.
Solid expertise in containerization and orchestration using Docker and Kubernetes, deploying workloads on AWS EKS and ECS.
Hands-on mastery of Apache Spark (batch + streaming) for large-scale data processing and performance optimization.Proven capability in Jenkins-based CI/CD automation, including pipelines, quality gates, artifact publishing, and deployments.
Effective AI utilization to boost development productivity by leveraging AI agents/skills for coding assistance, test generation, refactoring, documentation, and faster troubleshooting.
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

Familiarity with modern front-end technologies.
Cassandra, Python

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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