JP Morgan Chase

Runs a consumer bank and an investment bank

Software Engineer 3

Backend EngineeringPosted on Nov 13

Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 3 years of applied experience.
Expertise in Java technologies and frameworks such as Spring and Spring Boot, and REST-based services.
Proficiency in Unix/Linux environments, including navigating the system and investigating processes and logs.
Hands-on practical experience in system design, application development, testing, and operational stability.
Proficiency in Java/JEE and REST APIs, Web Services, and experience building event-driven microservices and Kafka streaming.
Experience using and managing AWS services in public cloud infrastructure.
Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, with the 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 use within team practices.
Overall knowledge of the Software Development Life Cycle.
Solid understanding of agile methodologies, including CI/CD, application resiliency, and security.

Responsibilities

Execute software solutions, design, development, and technical troubleshooting, applying approaches beyond routine or conventional methods to build solutions or 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 tools to improve code quality, delivery speed, and productivity across complex deliverables, including code generation or refactoring, unit test creation, and documentation; validate outputs through peer review, automated testing, and secure coding standards, and contribute learnings and reusable patterns to improve team effectiveness.
Apply knowledge of Software Development Life Cycle toolchain capabilities, including enterprise-authorized AI-assisted development and automation, to improve the value realized through automation.
Produce architecture and design artifacts for complex applications and ensure design constraints are met through software code development.
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.
Drive adoption and governance of approved AI-assisted engineering practices across teams, including AI-assisted code review and refactoring, test acceleration, release readiness, and incident/root-cause analysis; establish measurable validation standards for secure coding, peer review, and automated testing, and promote reuse of proven patterns and automation within the SDLC/TLM toolchain.

Desired Qualifications

Exposure to AWS cloud technologies.
Exposure to AI-powered development tools such as GitHub Copilot, Claude Code, or similar coding assistants, and the SDD framework, to accelerate development workflows.

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 JPMorgan Chase within the Deposits 2.0, 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
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Expertise in Java technologies/frameworks such as Spring/Spring Boot, and REST based services
Proficiency in Unix/Linux environments, ability to navigate the system, investigate processes and logs
Hands-on practical experience in system design, application development, testing, and operational stability
Proficiency in Java/JEE and REST APIs, Web Services and experience in building event-driven Micro Services and Kafka streaming.
Experience with using/managing AWS Services in public cloud infrastructure
Hands-on practical experience in system design, application development, testing, and operational stability
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.
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

Exposure to AWS cloud technologies
Exposure with AI-powered development tools such as GitHub Copilot, Claude Code, or similar coding assistants and framework SDD to accelerate development workflows

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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