Software Engineer III - Java, Kafka

JPMorganChase; Bengaluru; Vor Ort; INR 900.000 - 1.500.000; Vollzeit

Zusammenfassung

JPMorgan Chase in Bengaluru is seeking a Software Engineer III to join the Commercial & Investment Bank Payments Technology team. You will work in an agile environment designing and delivering reliable, secure, scalable backend services in Java.

You will implement production code, write tests, and contribute to architecture while using AI-assisted tools and following secure coding standards. Ideal candidates have 3+ years of Java experience, strong problem-solving, and collaboration across

Qualifikationen

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Hands-on experience in enterprise software development, modern testing tools (JUnit, Mockito, Spring Test Framework).
• Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks.
• Experience in Linux environment, containers and cloud architectures and services.
• Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders.
• Understanding of the full software development lifecycle and agile approach.
• Hands-on experience with event driven architecture and distributed messaging technologies (Kafka).
• Hands-on experience using AI-assisted software development tools with critical evaluation and secure coding practices.
• Understanding of responsible AI use in engineering workflows including data sensitivity considerations.

Aufgaben

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches.
• Creates secure production code and maintains algorithms that run with appropriate systems.
• Produces architecture and design artifacts for complex applications and ensures design constraints are met.
• Gathers, analyzes, and visualizes data to inform continuous improvement of software applications.
• Identifies hidden problems and uses insights to improve coding hygiene and system architecture.
• Contributes to engineering communities of practice and explores new technologies.
• Leverages enterprise AI coding assist tools to improve code quality, speed, and productivity with peer review.
• Applies SDLC tools, including AI-assisted development, to improve automation value.

Kenntnisse

Java fundamentals

Spring Boot

OO programming

Multithreading

Messaging technologies

Linux familiarity

Containers

Cloud architectures

Agile methodology

Team collaboration

AI-assisted development tools

Secure coding practices

Architectural thinking

Data-driven debugging

Tools

JUnit

Mockito

Spring Test Framework

Kafka

Redis

Terraform

Kubernetes

ReactJs

Protobufs

gRPC

CockroachDB

Docker

CI/CD tooling

Jobbeschreibung

• Business Unit Commercial & Investment Bank
• Posting Date 11/06/2026, 05:06 AM
• Apply Before 11/08/2026, 05:00 AM
• Job Schedule Full time

Job Description

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 Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• 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
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on experience in enterprise software development, modern testing tools (JUnit, Mockito, Spring Test Framework)
• Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks Experience in building high-performance, latency-sensitive Java applications
• Experience in maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services
• Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders
• Understanding of the full software development lifecycle and agile approach
• Hands-on experience with event driven architecture and distributed messaging technologies (Kafka)
• 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
• Hands-on practical experience in system design, application development, testing, and operational stability. Proficient in coding in one or more languages

Preferred qualifications, capabilities, and skills

• Hands on experience another statically compiled language like Golang, Rust
• Experience with gRPC and Google Protocol Buffers, caching technologies, e.g. Redis
• Experience with infrastructure as code software, e.g. Terraform, designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB)
• Familiarity with front-end technologies, like ReactJs. Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications)