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 Asset & Wealth Management, 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
- Involves in building and operating highly sophisticated LLM driven applications.
- Partners directly with other technology teams on LLM projects to advise and assist as needed.
- Collaborates with Data Science, Cybersecurity to deliver state of the art ML products.
- Collaborates with Devops engineers to plan and deploy data storage and processing systems,
- 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.
- Stays abreast of the latest advancements in AI technologies, and drive their integration into our operations.
- 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
- Advanced python programming skills. Proven experience in building and operating scalable ML-driven products.
- Azure and/or AWS Certifications ( Architect, Big Data, AI/ML ) . Hands on experience in Azure and AWS.
- Proficiency with cloud technologies like Kubernetes, Airflow. Experience working in a highly regulated environment.
- Proven ability to iterate quickly. Proficient in all aspects of the Software Development Life Cycle.
- Terraform, IaaC experience. Experience with design & delivery of large scale cloud-native architectures.
- Experience with microservices performance tuning, performance optimization, real-time applications.
- 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.
Preferred qualifications, capabilities, and skills
- Experience with financial data and data science. Experience in developing AI solutions using agentic frameworks.
- Experience fine-tuning LLMs with advanced techniques to enhance performance.
- Experience with prompt optimisation to improve the effectiveness of AI applications.
- Demonstrated ability to design and implement robust AI application architectures.
Skills Required
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Advanced Python programming skills
- Proven experience in building and operating scalable ML-driven products (LLM-driven applications)
- Azure and/or AWS certifications and hands-on experience in Azure and AWS
- Proficiency with Kubernetes and Apache Airflow
- Experience working in a highly regulated environment
- Terraform and Infrastructure-as-Code (IaC) experience
- Experience with microservices performance tuning, optimization, and real-time applications
- Proficiency in all aspects of the Software Development Life Cycle and ability to develop secure production code
- Hands-on experience using enterprise-authorized AI-assisted software development tools and validating AI-generated outputs
- Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, resiliency and security expectations
- Experience with financial data and data science
- Experience developing AI solutions using agentic frameworks
- Experience fine-tuning LLMs using advanced techniques
- Experience with prompt optimization to improve AI application effectiveness
- Demonstrated ability to design and implement robust AI application architectures
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 — 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.
-
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.
-
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.
Gallery
