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 Bank's 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 firm's 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 data products and data-intensive applications to bolster the Research Technology client intelligence agenda. This role provides an opportunity for hands-on technical experience and may also include managerial responsibilities.

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 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 Adds to team culture of diversity, equity, inclusion, and respect 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 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 (e.g., ETL, Glue, S3, Athena, RedShift), PySpark Experience developing APIs and Backend services         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 Familiarity with data quality, observability and lineage tooling Experience developing APIs and Backend services       Experience collaborating with data analysts, reporting teams  or business analysts     Familiarity with modern Business Intelligence and reporting tools