Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.
As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platforms team, you will be instrumental in building automation and tooling to improve the scalability and resiliency of the AI/ML and Data Platform that runs the firm. You will also engage in root cause analysis, production changes, budgetary considerations, and staffing challenges. Your experience will be vital in managing and mentoring team members to drive strategic change, both within your team and in partnership with colleagues across JPMorgan Chase & Co.'s global network of innovators.
Job Responsibilities:
- Identify and Implement tooling that will expedite issue detection and resolution for multiple technologies such as Databricks, Snowflake, AWS, Kubernetes, etc.
- Develop and support AI/ML solutions for troubleshooting and incident resolution.
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
- Performs platform design, set-up and configuration, providing engineering support to data engineering teams, Data Science/ML, and Application/integration teams.
- Collaborates with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence.
- Mentor and guide team members to foster innovation and strategic change.
- 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.
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 8+ years applied experience
- Proficient in Python, PySpark, and/or Java application program development with use of automated unit testing.
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Must be able to reduce toil by building new tools to automate repeated tasks.
- Strong understanding of SLI/SLO/SLA and Error Budgets
- Hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery
- Understanding of network topologies, load balancing, and content delivery networks.
- Awareness of risk controls and compliance with departmental and company-wide standards.
- 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
Preferred qualifications, capabilities and skills
- Experience in Data pipelines using Spark
- Exposure to AWS & Databricks Platform administration
- Knowledge of containerization (Docker, Kubernetes) and orchestration
- Familiarity with distributed systems and large-scale data processing
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
