JPMorgan Director Software Engineering - AIML 

United States, New Jersey, Jersey City 

247475758

Bring your Software Engineering skills to the next level and join the AIML and Data Platforms team. As a Director of Software Engineering you will assist the AMDP team in overcoming the toughest challenges in financial services, with a view to delivering impact in the bank. You will help evolve projects from early-stage code into production.

Job responsibilities

• Hands-on leadership and direction of a small team, charged with delivering innovation at scale
• Focuses on delivering the Synthetic Data product including Privacy Enhancement Techniques (PETs) and Cryptographic methods across the firm
• Integrates these seamlessly into the firm’s business systems, withing the constraints of a highly regulated and opinionated technology environment
• Creates robust pipelines for repeatable model delivery

Required qualifications, capabilities, and skills

• Formal training or certification on Software Engineering concepts and 10+ years applied experience
• Experience shipping 0-1 products
• Experience shipping products as python packages, running services
• Experience in working with large scale data and manipulating 100Ms of data at scale, reliably
• Exceptional Cloud Engineering skills (both public and private), and a proven track record of navigating a complex technical environment and delivering robust solutions within those constraints
• Up-to-date understanding of Model Development Lifecycle, and best practices for managing the fast-moving model provisioning environment
• Strong track record of developing high quality, production code in Python
• Advanced understanding of engineering methodologies such as CI/CD, Application Resiliency, Networking and Security
• Great interpersonal skills and able to interface with data scientists, quantitative researchers and other engineers
• Exceptional problem-solving skills in a complex technical environment
• Strong understanding of modern development practices

Preferred qualifications, capabilities, and skills

• Experience in Privacy Enhancement Techniques (PETs), Cryptography and implementing them as product deliverables
• Track record of Big Data specific infrastructure (e.g. Spark)
• Experience integrating new tools/libraries into frameworks