Lead Software Engineer Python, Data, Cloud

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Banks Markets Research Technology Team your role will be pivotal in an agile team tasked with the design and delivery of secure robust and cutting-edge technology products. You will be instrumental in implementing vital technology solutions across a range of technical domains and business functions to further the firms business goals. Your contributions will be part of a high-profile data modernization project where your duty will be to build a scalable cloud-native data platform in accordance with strategic modern data practices. Your responsibilities will also encompass the development of a core data platform data products and data-intensive applications to advance the Research Technology business and client intelligence agenda.

Job responsibilities

• Provides technical guidance and direction to support the business and its technical teams contractors and vendors
• Develops secure and high-quality production code and reviews and debugs code written by others
• 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.
• Drives decisions that influence the product design application functionality and technical operations and processes
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Builds end-to-end modern data pipelines and solutions migrating data products to cloud-native platforms
• Designs and implements data engineering solutions leveraging cloud-native data technologies and aligning with modern data architecture strategies
• Designs and implements hands-on solutions while providing technical leadership and mentorship to more junior team members
• Embraces a passion for learning problem-solving creative thinking and a can-do attitude

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied experience
• Hands-on practical experience delivering large-scale cloud-native data platforms
• Proficient in system design application development testing and operational stability
• Advanced experience in one or more programming language(s) - Python/Java and experience developing APIs and Backend services
• 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
• Proven track record in system design architecting and developing microservices distributed systems and data-intensive applications
• Experience with Cloud services Infrastructure as Code containerized application development big data and modern data engineering technologies
• Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments
• Familiarity with Cloud Data engineering services and technologies (e.g. ETL Glue S3 Athena Redshift Snowflake)
• Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds

Preferred qualifications capabilities and skills

• Experience with data and application migration to AWS in commercial settings
• Practical experience with Snowflake or Databricks
• Familiarity with data quality observability and lineage tooling
• Experience developing APIs and Backend services
• Experience collaborating with data analysts reporting teamsor business analysts
• Familiarity with modern Business Intelligence and reporting tools