Lead Software Engineer - Python, AIML, Cloud

• Design, develop, and troubleshoot software solutions for complex business challenges
• Write secure, high-quality production code and review code from team members
• Identify and automate remediation of recurring issues to improve system stability
• Lead architectural design sessions and provide technical guidance for on-premises and cloud systems
• Promote adoption of new technologies through internal communities of practice
• Foster a culture of diversity, equity, and respect within the team
• Develop and maintain applications using Python and AWS
• Create and review architecture and design deliverables, ensuring best practices are followed
• Integrate AI/ML solutions into domain-specific operations processing systems
• Lead code reviews, design discussions, and agile planning sessions
• Collaborate with Site Reliability Engineering and monitoring teams to ensure system reliability and performance

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong experience building and running applications on AWS or other public cloud platforms
• Advanced proficiency in Python programming
• Proven experience in system design, application development, testing, and maintaining operational stability
• Skilled in automation, continuous delivery, and the full Software Development Life Cycle
• Experience with data processing pipelines and Directed Acyclic Graphs (DAGs) for machine learning or data workflows
• Demonstrated expertise in cloud, artificial intelligence, and machine learning technologies
• Understanding of IT systems in the financial services industry
• Experience with code reviews and agile methodologies
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Commitment to continuous learning and creative problem-solving

• Experience with Cloud services, Infrastructure as Code (e.g., Terraform), and containerized application development
• Familiarity with data storage systems such as Postgres and Open Search, and AWS services including S3, Sage Maker, and Bedrock
• Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), and event-driven systems
• Knowledge of security best practices in cloud and application development
• Experience integrating AI/ML models into production environments
• Ability to mentor and guide junior engineers
• Participation in technology events or software engineering communities

JPMorgan

Chase, 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 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…