Software Engineer II - Low-Latency Java And Kafka

JPMorganChase; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

JPMorganChase in Bengaluru, India, seeks a Software Engineer II to join an agile team delivering secure, scalable software components. You will contribute across design, development, and troubleshooting of multiple components within a financial technology product.

You will work with Java, databases, and microservices, while applying enterprise AI-assisted tooling and secure coding practices to maintain high-quality code and performance.

Qualifications

• Formal training or certification in software engineering concepts with 2+ years of experience.
• Experience with Java and distributed databases (Oracle, MongoDB).
• Familiarity with secure coding and AI-assisted development tools.

Responsibilities

• Executes standard software solution design, development, and troubleshooting.
• Writes secure, high-quality code in at least one language with limited guidance.
• Leverages AI coding assist tools to improve quality and speed, validated by peer reviews.
• Designs and troubleshoots with awareness of upstream/downstream systems.
• Applies SDLC tools to improve automation and value delivery.
• Gathers and analyzes large data sets to inform secure, stable development.
• Learns processes and methods for secure, resilient code and systems.

Skills

Java

Distributed Databases

Messaging System / MQ

GRPC

System Design

CI/CD

Education

Software Engineering Certification

Tools

Terraform

AWS EC2

Kubernetes

Job description

Job Description:

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorganChase within the JPMorgan Chase within the Payments and Liquidity business, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

• Executes standard software solution, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• 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
• Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong)
• Hands-on practical experience in Java, Distributed Databases (Oracle / Mogodb), Messing System / MQ, GRPC, High Traffic, Low Latency, System Design concepts
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
• 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 across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Full stack Java developer experience in enterprise application development
• Strong experience in SDLC delivery in Agile methodologies
• At least two years experience in Java 17+
• Experience developing microservices, packaged into AWS Elastic Kubernetes Service and/or Elastic Container Service, and deployed to EC2 instances
• Experience writing Terraform scripts and deploying in AWS production environment
• Experience in at least one relational database management system (preferably Oracle or PostgreSQL)