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 JPMorganChase within Consumer and Community Banking, 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
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Designs, builds, and supports batch processing systems and data pipelines (e.g., scheduled/triggered workflows, ETL/ELT processing, backfills/reprocessing), including operational monitoring, alerting, and incident triage
- Implements and enforces data management concepts such as data quality, validation, metadata, lineage, access controls, retention, and auditability aligned to platform standards
- Builds and maintains APIs and backend services using Spring Boot, including integration patterns, service contracts, error handling, authentication/authorization integration, and documentation
- Leverages AWS cloud services to deliver scalable, resilient, and cost-aware solutions; applies security best practices such as IAM least privilege, encryption, secrets management, and logging
- 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
- 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
Required qualifications, capabilities, and skills
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Strong coding ability in Java and/or Python, with production experience building reliable services and data processing components
- Hands-on experience building and operating batch processing systems and associated data workflows in production environments
- Strong knowledge of AWS cloud services and cloud-native engineering practices (security, scalability, resiliency, observability, cost awareness)
- Practical experience building APIs using Spring Boot (REST services, validation, testing, performance tuning, documentation)
- 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
- Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies and Exposure to cloud technologies
- Experience with data platform patterns (data lake/warehouse, distributed processing frameworks, orchestration) and implementing data quality/metadata/lineage capabilities at scale
- Experience with infrastructure-as-code and automated environment provisioning (e.g., Terraform/CloudFormation or equivalent), and strong observability practices (metrics/logging/tracing)
Skills Required
- Practical experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining code in a large corporate environment
- Experience with modern programming languages and database querying languages
- Production coding experience with Java and/or Python
- Experience building and operating batch processing systems and data workflows in production
- Strong knowledge of AWS cloud services and cloud-native engineering practices
- Experience building APIs using Spring Boot, including REST services, validation, testing, performance tuning, and documentation
- Hands-on experience using enterprise-authorized AI-assisted software development tools
- Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs and outputs
- Ability to guide peers on safe and effective AI-assisted development practices
- Overall knowledge of the Software Development Life Cycle
- Understanding of agile methodologies, CI/CD, application resiliency, and security
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
- Experience with data lake or warehouse patterns, distributed processing frameworks, orchestration, and data quality, metadata, and lineage capabilities
- Experience with infrastructure as code and automated environment provisioning using Terraform, CloudFormation, or equivalent
- Strong observability practices involving metrics, logging, and tracing
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 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.
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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.
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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
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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