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 consumer and community banking- data technology, 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
- Oversee all aspects of data strategy, governance, data risk management, reporting and analytics.
- Work with product owners, data owners and customers to evaluate data requirements and identify right technology solutions and implementation.
- Demonstrate practical experience in integrating AI technologies into business banking solutions, maintain a commitment to ethical and responsible AI use, and actively pursue ongoing learning in the rapidly evolving AI landscape.
- Design, develop, code, test, debug and deploy applications for scalable and extensible applications.
- Produce high quality code utilizing Test Driven Development techniques.
- Participate in retrospectives to drive continuous improvement within the feature team.
- Participating in code reviews and ensuring that all solutions are aligned to pre-defined architectural specifications.
- Implement Automation: Continuous Integration and Continuous Delivery.
- 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
- 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.
- Manage Cloud Development and Deployment: Support development and deployment of applications into AWS Public clouds.
Required qualifications, capabilities, and skills.
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Advanced knowledge of architecture, design and business processes
- Expert-level implementation skills with Java, AWS, Database technologies, Python, Scala, Spark, Ab Initio or Informatica.
- Experience with the development and decomposition of complex SQL (RDMS Platforms)
- Experience with Data Warehousing concepts (including Star Schema).
- Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions and industry best practices.
- Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption).
- Aware of various Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modelling, etc.)
- Experience with one or more leading cloud providers (AWS/Azure/GCP)
- 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.
Preferred qualifications, capabilities, and skills
- Ability to work fast and quickly ramp up on new technologies and strategies.
- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals.
- Appreciation of Controls and Compliance processes for applications and data.
- In depth understanding of data technologies and solutions is preferable.
- Drive Process improvements and implement process changes as necessary.
- Knowledge of industry-wide Big Data technology trends and best practices
Skills Required
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Advanced knowledge of architecture, design and business processes.
- Expert-level implementation skills with Java.
- Expert-level implementation skills with AWS.
- Expert-level implementation skills with Database technologies (SQL, RDBMS).
- Expert-level implementation skills with Python.
- Expert-level implementation skills with Scala.
- Expert-level implementation skills with Spark.
- Experience with Ab Initio or Informatica.
- Experience with development and decomposition of complex SQL (RDMS Platforms).
- Experience with Data Warehousing concepts (including Star Schema).
- Practical experience delivering Data and Analytics, Big Data, Data Warehousing, or Business Intelligence projects.
- Proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption).
- Awareness of Data & Analytics tools and techniques (data mining, predictive analytics, machine learning, data modelling).
- Experience with one or more leading cloud providers (AWS/Azure/GCP).
- Hands-on experience using enterprise-authorized AI-assisted software development tools and validating AI outputs.
- Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and resiliency/security expectations.
- Experience producing high-quality code using Test Driven Development (TDD).
- Experience implementing Continuous Integration and Continuous Delivery (CI/CD) automation.
- Experience supporting development and deployment of applications into AWS public clouds.
- Ability to work fast and quickly ramp up on new technologies and strategies.
- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals.
- Appreciation of Controls and Compliance processes for applications and data.
- In-depth understanding of data technologies and solutions.
- Drive process improvements and implement process changes as necessary.
- Knowledge of industry-wide Big Data technology trends and best practices.
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 — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
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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