Job Description
Join us to build market-leading technology products and grow your skills while working with a collaborative, high-performing engineering team.
Job summary
As a Lead Software Engineer within Corporate Sector in Governance and Controls Technology (GCT), you will design and deliver trusted, market-leading products in a secure, stable, and scalable way. You will work across multiple technical areas and business functions, partnering with your team to deliver solutions that matter to our customers and the firm. You help strengthen our engineering culture through ownership, continuous improvement, and inclusive collaboration.
Job responsibilities
- Execute software solutions through design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems
- Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems
- Produce architecture and design artifacts for complex applications and ensure design constraints are met through software code development
- 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.
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement of applications and systems
- Proactively identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture
- Contribute to software engineering communities of practice and events that explore new and emerging technologies
- Ability to independently work on modules with minimal support
Required qualifications, capabilities, and skills
- Practical experience in system design, application development, testing, and operational stability
- Hands-on experience in full stack software engineering, with a track record of developing and deploying business critical applications in production.
- Proficiency in Java, Spring Boot, JPA, SQL with the ability to learn additional programming languages as needed
- Experience with React and other front end technologies
- 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 incorporating AI use in engineering workflows, including data sensitivity considerations, curation of inputs, measuring performance, model fine tuning and adherence to resiliency and security expectations
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
- Knowledge of cloud-based development
- Experience developing, debugging, and maintaining code in a large corporate environment, including use of database querying languages
- Overall knowledge of the Software Development Life Cycle, including agile practices such as CI/CD, application resiliency, and security
Preferred qualifications, capabilities, and skills
- Experience in programming languages like Python for model development, experimentation, and integration with LLM API’s.
- Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
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
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