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 the Infrastructure Platforms organization, 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.
As a Software Engineer III, you contribute to the design, development, testing, deployment, and ongoing improvement of secure, production-ready applications that combine Java-based software engineering with Python-based AI/ML capabilities. The role works across the delivery lifecycle to solve business problems, improve customer experiences, and increase operational efficiency in cloud and hybrid data environments. You use your elevated technical skills to support the design and development of metrics reporting and dashboards to enable Operations Management to execute their strategic objectives and ensure conformance with all controls, policies, and procedures.
Job Responsibilities
Translate stakeholder and business requirements into well-defined technical solutions, prototypes, and delivery plans.
Using Java and Python, create secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Use SQL to analyze large, heterogeneous datasets, validate assumptions, generate insights, and measure solution impact.
Contribute to scalable, resilient architectures and support reliable deployment, monitoring, validation, troubleshooting, and iterative improvement.
Automate operational processes and help eliminate recurring issues to improve platform stability and efficiency.
Create unit and integration tests and participate in code reviews and continuous validation practices.
Collaborate with product owners, operations, marketing, engineering, data, and other cross-functional teams to deliver end-to-end solutions aligned with enterprise standards.
Produce clear technical documentation, reports, and presentations for technical and non-technical audiences.
Support model and data governance by documenting solution design and providing technical input to risk, privacy, and controls assessments
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.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on practical experience in system design, application development (SDLC), testing (unit and integration), and operational stability for building enterprise cloud native applications. Understanding of software engineering fundamentals, APIs, source control, testing, debugging, and continuous integration and delivery practices.
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Java & Python) and database querying languages (SQL)
Experience with frameworks like Spring boot, Hibernate, Envers, etc.
Experience with data-intensive and statistical applications such as Jupiter notebooks
Data engineering experience working with BigData, Data Mesh, Data Lake architecture, relational/graph databases, PL/SQL, data analytics and dashboards (Tableau, Qlik-sense,etc.)
Working with Telemetry systems using tools like Splunk, Elastic Search, etc.
Experience and solid understanding of Retrieval-Augmented Generation (RAG), agentic workflows, prompt engineering, model development and testing.
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.
Exposure to cloud or hybrid platforms such as AWS and modern data or container platforms such as Databricks or Kubernetes.
Preferred qualifications, capabilities, and skills
Bachelor’s degree in Computer Science, with specialization
Experience with Data Analytics
Experience with Oracle, MongoDB etc.
Experience with deploying a vector database on services like Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS)
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering concepts
- At least 3 years of applied software engineering experience
- Experience with system design, application development, SDLC, unit and integration testing, debugging, APIs, source control, CI/CD, and operational stability
- Experience developing, debugging, and maintaining code in a large corporate environment
- Proficiency with Java and Python
- Proficiency with SQL and database querying languages
- Experience with Spring Boot, Hibernate, or Envers
- Experience with data-intensive and statistical applications such as Jupyter Notebooks
- Data engineering experience with Big Data, Data Mesh, Data Lake architecture, relational or graph databases, PL/SQL, analytics, and dashboards
- Experience with telemetry systems such as Splunk or Elasticsearch
- Understanding of RAG, agentic workflows, prompt engineering, model development, and model testing
- Hands-on experience with enterprise-authorized AI-assisted software development tools and validation of AI-generated outputs
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security practices
- Exposure to AWS and modern data or container platforms such as Databricks or Kubernetes
- Bachelor's degree in Computer Science with specialization
- Experience with data analytics
- Experience with Oracle or MongoDB
- Experience deploying vector databases on GKE or EKS
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.
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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