Requirements
Must have:
- Formal software engineering training or certification, with 5+ years of applied experience - Proven hands-on experience in system design, application development, testing, and operational reliability - Strong expertise in system design, domain-driven design, and microservices - Experience guiding a monolith-to-microservices transformation for a high-throughput, always-on platform - Background in architecture patterns for scalability, high availability, performance, and disaster recovery - Practical experience with core Java, Python, Spring, and REST services - Familiarity with Kubernetes, Docker, service mesh, SQL and NoSQL databases, CI/CD tools such as Jenkins, version control tools such as Bitbucket and Git, and work management tools such as JIRA - Experience promoting and working in Agile delivery practices such as TDD and BDD - Demonstrated proficiency in software applications and technical processes within a technical discipline such as cloud, AI, machine learning, or mobile - Experience leading the effective use of approved AI-assisted development tools, with clear standards for validating outputs for accuracy, performance, and security - Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resilient, secure delivery practices - Ability to coach engineers on safe and compliant adoption of AI tools within development workflows
Responsibilities:
- Design, build, and troubleshoot innovative software solutions beyond standard approaches - Develop secure, high-quality production code, and review and debug code written by others - Identify and automate the remediation of recurring issues to strengthen application and system stability - Lead sessions with external vendors, startups, and internal teams to evaluate architectural designs, technical capability, and fit within existing systems and information architecture - Drive communities of practice across software engineering to promote awareness and adoption of emerging technologies - Lead team adoption of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes - Apply knowledge of SDLC tools, including approved AI-enabled development and automation capabilities, to increase the value delivered through automation
Company:
We are hiring for a Lead Software Engineer - Python/Pyspark/Databricks/AI within our Consumer and Community Banking team at JPMorganChase.
We offer the chance to work in an agile environment building trusted, market-leading technology products in a secure, stable, and scalable way. Our team operates across core technical areas to support business objectives, and our broader organization provides a competitive total rewards package, eligible incentive compensation, and a wide range of benefits such as health coverage, wellness support, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We value diversity and inclusion, support reasonable accommodations, and serve customers through a broad range of financial services across personal banking, credit cards, mortgages, auto financing, investment advice, small business lending, and payment processing.
