We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Python / Spark Big Data Lead Software Engineer at JPMorgan Chase within the Capital Technology team, you will play a crucial role in an agile team, focusing on the enhancement, construction, and delivery of top-tier technology products in a secure, stable, and scalable manner. Your core technical contributions will involve developing vital technology solutions across a range of technical areas, supporting various business functions to achieve the firm's business objectives.
Job responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure and high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Provide guidance through leading, mentoring and coaching a team of software engineers Directly lead a team of software engineers and technically lead as we continue to modernise our Capital Reporting processes within JPMorgan Chase
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and advanced applied experience Advanced in Python & PySpark Hands-on practical experience delivering system design, application development, testing, and operational stability Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Practical cloud native experience Managing expectations of non-technical stakeholders.
Preferred qualifications, capabilities, and skills:
Familiar with AWS via hands on experience or certification Familiarity with orchestration tools like Airflow Familiarity with BASEL regulatory reporting framework Familiarity with engineering in a regulatory controlled environment
