Software Engineer II - Java, UI, Spark, Kafka

Posted Yesterday
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Mumbai, Maharashtra, IND
Hybrid
Junior
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Design, build, and maintain full-stack Java-based applications and responsive UIs. Develop backend services/APIs, integrate with data platforms and event streams, apply CI/CD and automated testing, ensure security and production readiness, troubleshoot production issues, and collaborate on data quality, observability, and system design.
Summary Generated by Built In

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 - Java Full Stack Developer at JPMorgan Chase within the Commercial & Investment Bank, you'll be a 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

 

  • Design, build, and maintain end-to-end full-stack solutions using Java technologies and modern UI frameworks.
  • Develop and support backend services and APIs (REST/GraphQL as applicable), including authentication/authorization, integration patterns, and error handling.
  • 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.
  • 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
  • Build responsive, accessible frontend experiences and reusable UI components aligned to engineering standards.
  • Enable data-centric use cases by integrating with data platforms, data services, and event streams to expose reliable datasets and metrics to upstream/downstream consumers.
  • Collaborate with the data horizontal team to improve data quality, observability, lineage, and governance where required by the applications.
  • Apply strong engineering practices: code reviews, unit/integration testing, CI/CD, performance tuning, and production support.
  • Contribute to system design discussions and drive non-functional requirements (security, resiliency, scalability, latency).
  • Troubleshoot complex production issues across UI, services, and data interactions; implement sustainable fixes and automation.

 

Required qualifications, capabilities, and skills

 

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Professional software engineering experience with significant full-stack delivery.
  • Strong proficiency in Java and enterprise backend development (e.g., Spring / Spring Boot).
  • Experience building microservices and well-designed APIs (REST).
  • Solid understanding of frontend development with at least one modern framework (e.g., React, Angular, or Vue) plus HTML/CSS/TypeScript/JavaScript.
  • Strong knowledge of relational databases and SQL (e.g., PostgreSQL/Oracle), including schema design and query optimization.
  • Hands-on experience with engineering practices such as CI/CD pipelines, automated testing, and source control (Git).
  • 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.
  • Practical knowledge of security concepts (OAuth2/JWT, secure coding, secrets management) and production readiness.
  • Strong problem-solving skills, ability to work across teams, and excellent written/verbal communication.

 

Preferred qualifications, capabilities, and skills

 

  • Experience with data engineering and data platform integrations, such as: Messaging/streaming: Kafka (or equivalent), Data processing: Spark (or equivalent), Data warehousing/lakes: Snowflake/Databricks/Hive (or similar), Orchestration: Airflow (or similar)
  • Familiarity with data governance concepts: metadata/lineage, data quality checks, access controls, and auditability.
  • Experience with observability tooling: centralized logging, metrics, tracing (e.g., OpenTelemetry concepts).
  • Containerization and orchestration: Docker and Kubernetes (or equivalent).
  • Domain exposure to loan origination / servicing systems or regulated financial workflows (helpful but not required).

Skills Required

  • Formal training or certification in software engineering and 2+ years applied experience
  • Significant professional full-stack delivery experience
  • Proficiency in Java and enterprise backend development
  • Experience with Spring / Spring Boot
  • Experience building microservices and REST APIs
  • Frontend development with a modern framework (React, Angular, or Vue) and HTML/CSS/TypeScript/JavaScript
  • Strong knowledge of relational databases and SQL (e.g., PostgreSQL, Oracle)
  • Hands-on experience with CI/CD pipelines, automated testing, and Git
  • Experience using enterprise-authorized AI-assisted development tools and ability to validate outputs
  • Understanding of responsible AI use, data sensitivity, and secure handling of inputs/outputs
  • Practical knowledge of security concepts (OAuth2/JWT, secure coding, secrets management) and production readiness
  • Strong problem-solving skills and excellent written/verbal communication
  • Experience with Kafka (or equivalent messaging/streaming)
  • Experience with Spark (or equivalent data processing)
  • Familiarity with Snowflake, Databricks, or Hive
  • Experience with Airflow (or similar orchestration)
  • Familiarity with data governance concepts (metadata/lineage, data quality, access controls)
  • Experience with observability tooling / OpenTelemetry concepts
  • Containerization and orchestration experience (Docker, Kubernetes)
  • Domain exposure to loan origination/servicing or regulated financial workflows

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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