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 - Risk Technology Portfolio team, you will be part of an agile team that builds and delivers trusted technology products in a secure, stable, and scalable way. You will take ownership of technical deliverables, contribute to design decisions, and work across cloud, data, and machine learning domains to solve real business problems.
Job Responsibilities:
- Design, build, and maintain platform components that support end-to-end ML model lifecycle — from development and training to deployment and monitoring
- Develop and maintain data and feature pipelines that feed ML models in production
- Build and manage cloud-based infrastructure on AWS (including Databricks, EMR, ECS, and S3) to support model training and serving workloads
- Automate model deployment, testing, and release processes within the SDLC/MLOps toolchain
- Support migration of legacy ML workloads to cloud-native, scalable platforms with zero downtime
- Monitor platform health and model serving infrastructure; identify and resolve performance and stability issues
- Apply AI-assisted development tools and best practices to improve code quality and delivery speed
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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.
- Collaborate with data scientists and model developers to understand requirements and translate them into reliable platform capabilities
- Contribute to a team culture of diversity, inclusion, and continuous improvement
Required Qualifications, Capabilities, and Skills:
- Formal training or certification in software engineering and 3+ years of applied experience
- Hands-on experience building and maintaining production data or ML pipelines
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Proficiency in Python and experience with ML libraries and frameworks (Pandas, NumPy, Scikit-learn, etc.)
- Working knowledge of cloud platforms, particularly AWS, and cloud-native development patterns
- Experience with Big Data processing frameworks (Spark preferred)
- Practical experience with infrastructure-as-code and deployment automation (Terraform preferred)
- Ability to work independently on platform problems with moderate oversight
Preferred Qualifications, Capabilities, and Skills:
- Experience with Databricks for model training and data pipeline development
- Familiarity with MLOps practices — model versioning, experiment tracking, feature stores, and model monitoring
- AWS certifications (e.g., Solutions Architect Associate)
- Exposure to RAG architectures or GenAI/LLM integration patterns
- Knowledge of container-based deployment (Docker, ECS, or Kubernetes)
- Interest in AI-assisted engineering tools and automation within the SDLC
About Us
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
- 3+ years of applied software engineering experience
- Experience building and maintaining production data or machine learning pipelines
- Experience leading effective use of approved AI-assisted software development tools
- Ability to validate AI outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
- Experience coaching engineers on safe and compliant AI-assisted engineering adoption
- Proficiency in Python and experience with ML libraries and frameworks such as Pandas, NumPy, and Scikit-learn
- Working knowledge of AWS and cloud-native development patterns
- Experience with big data processing frameworks, preferably Spark
- Practical experience with infrastructure-as-code and deployment automation, preferably Terraform
- Ability to work independently on platform problems with moderate oversight
- Experience with Databricks for model training and data pipeline development
- Familiarity with MLOps practices including model versioning, experiment tracking, feature stores, and model monitoring
- AWS certification such as Solutions Architect Associate
- Exposure to RAG architectures or GenAI/LLM integration patterns
- Knowledge of container-based deployment using Docker, ECS, or Kubernetes
- Interest in AI-assisted engineering tools and SDLC automation
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 — 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.
-
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.
-
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.
Gallery
