Python / Spark Big Data Lead Software Engineer

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