JP Morgan Chase

Runs a consumer bank and an investment bank

Software Engineer 3 - Multiple Teams

Backend EngineeringConfirmed live in the last 24 hours

Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification on software engineering concepts and at least 3 years of applied experience.
Excellent system design skills for distributed systems, including 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.
Extensive experience with AWS data lake and ETL technologies (S3, Glue, EMR, Lambda, and Step Functions), Maven for build and dependency management, and containerization and orchestration with Docker and Kubernetes; experience deploying workloads on AWS EKS and ECS.
Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, and ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Responsibilities

Execute software solutions, design, development, and technical troubleshooting, using approaches beyond routine methods to solve technical problems.
Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
Use enterprise-authorized AI coding-assistance tools to improve code quality, delivery speed, and productivity across complex deliverables, validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness.
Apply software development life cycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized from automation.
Produce architecture and design artifacts for complex applications and ensure software code 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 insights to improve coding hygiene and system architecture.

Desired Qualifications

Familiarity with modern front-end technologies.
Knowledge of Cassandra for distributed data modeling, partition strategy, and query tuning at scale.
Knowledge of Apache Spark for batch and streaming large-scale data processing and performance optimization, and capability in Jenkins-based continuous integration and continuous delivery.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Consumer and Community Banking - Trust and Security team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out 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.
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 3+ 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.
Extensive experience with AWS data lake & ETL technologies (S3, Glue, EMR, Lambda, Step Functions) and Maven for build/dependency management and solid expertise in containerization and orchestration using Docker and Kubernetes, deploying workloads on AWS EKS and ECS.
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies.
Knowledge of Cassandra for distributed data modeling, partition strategy, and query tuning at scale.
Knowledge of Apache Spark (batch + streaming) for large-scale data processing and performance optimization, and proven capability in Jenkins-based CI/CD

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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