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The Role
Develop secure, scalable backend and data solutions using Java, Python, Spring Boot, Databricks, Kafka, and cloud technologies. Responsibilities include designing microservices and event-driven architectures, integrating SQL and NoSQL databases, building data workflows, writing automated tests, reviewing code, troubleshooting production systems, and improving operational stability through automation. The role also contributes to agile practices, AI-assisted development, communities of practice, and enterprise software engineering standards.
Summary Generated by Built In
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III (Java/Python Developer) at JPMorgan Chase within the Commercial and Investment Banking Emerging Markets Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading 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.
As a Software Engineer III (Java/Python Developer) at JPMorgan Chase within the Commercial and Investment Banking Emerging Markets Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading 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
- Partners with product and design teams to build functionality that meets core business outcomes.
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Develops secure high-quality production code, and reviews and debugs code written by others.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- Apply agile methodologies and use collaborative tools for effective teamwork and knowledge sharing.
- Implement and maintain unit and integration tests to ensure reliability and performance.
- Participate in code reviews to improve quality and share knowledge.
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge 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.
- Adds to team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and applied experience in Core Java, J2EE, and Spring Boot with strong coding skills.
- Good working knowledge of AWS, Databricks and Python.
- Experience across the data lifecycle.
- Strong proficiency using Spring framework and understanding of inversion of control and dependency injection.
- Hands-on experience designing and implementing event-driven architectures with different message brokers, including Kafka.
- Experience creating RESTful microservices and handling asynchronous data.
- Experience integrating with both SQL Databases (Oracle) and No-SQL Databases (DynamoDB, MongoDB).
- Advanced at SQL, including joins and aggregations.
- Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
- Experience with Maven/Gradle.
- Experience using version control with GitHub/Bitbucket.
- Experience with modern testing tools (JUnit, Mockito, Spring Test Framework, Cucumber)
- Hands-on practical experience delivering application development, testing, and operational stability.
- Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- 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.
Preferred qualifications, capabilities, and skills
- Develop workflows and ELT pipelines using Python and Databricks.
- Familiarity with the Standardised data layer practices (Medallion architecture)
- Familiarity with modern backend technologies including Java 21+.
- Familiarity with Domain Driven Design as an approach to begin implementing system designs.
- Proficiency with AI code assistants for rapid prototyping and end delivery of Backend functionality.
- Experience with deploying Backend services to cloud providers (e.g. AWS, Google Cloud, Azure).
- Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Skills Required
- Formal training or certification in software engineering concepts
- Applied experience with Core Java, J2EE, and Spring Boot
- Working knowledge of AWS, Databricks, and Python
- Experience across the data lifecycle
- Strong proficiency with Spring Framework, inversion of control, and dependency injection
- Experience designing and implementing event-driven architectures with message brokers, including Kafka
- Experience creating RESTful microservices and handling asynchronous data
- Experience integrating SQL databases including Oracle and NoSQL databases including DynamoDB and MongoDB
- Advanced SQL skills, including joins and aggregations
- Significant experience with statistical data analysis and selecting appropriate analytical tools and data patterns
- Experience with Maven or Gradle
- Version control experience with GitHub or Bitbucket
- Experience with JUnit, Mockito, Spring Test Framework, and Cucumber
- Practical experience delivering application development, testing, and operational stability
- Understanding of agile methodologies, CI/CD, application resiliency, and security
- Experience developing workflows and ELT pipelines using Python and Databricks
- Familiarity with standardized data layer practices and Medallion architecture
- Familiarity with modern backend technologies including Java 21 or later
- Familiarity with Domain Driven Design
- Proficiency with AI code assistants
- Experience deploying backend services to cloud providers such as AWS, Google Cloud, or Azure
- Skills in data modeling, normalization, denormalization, schema design, relational schemas, and star schemas
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.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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The Company
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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