Job Description
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
