Python Developer; GenAI

Overview

Role:
Python Developer

Employment type:

Contract

Location:

Jersey City, NJ

Must haves:

• Hands on Python Development
• Autosys
• All local NJ profiles need to have Financial Experience (Global Markets, Investment banking, capital markets, brokerage exp team for example)

Generative AI (GenAI) presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Technology will collaborate with Global Markets Sales Trading, Quantitative Strategies Data Group (QSDG) Platform teams to the design and buildout its global GenAI platform.

• Code solutions in Python and implement automated unit tests to deliver a requirement/story per the defined acceptance criteria and compliance requirements
• Design, develop, and modify architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
• Execute story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
• Perform proof of concept as necessary to implement new ideas or mitigate risk
• Automate manual release activities
• Design, develop, and maintain automated test suites (integration, regression, performance)
• Ensure solution meets product acceptance criteria with minimal technical debt
• Troubleshoot build and setup failures and facilitate resolution
• Ensure execution and delivery meets technology's expectations in terms of the functionality, quality, performance, reliability, and timeline
• Communicate status frequently to technology partners

• 6+ years of experience
• Bachelors (or higher) degree in Computer Science, related subject
• Hands-on experience in application development in one or more areas Mongo
  
  DB, Redis, React Framework, Impala, Autosys, FAST API services, Containerization
• Experience working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs (e.g. VS Code rather than Jupyter Notebooks), Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing
• Hands-on Dev Ops experience with one or more of the following enterprise development tools:
  Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (Sonar Qube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible)
• Experience with agile development methodologies and building supportability into applications
• Strong understanding of software architecture principles
• Excellent analytical and problem-solving skills
• Able to break down complex problems into smaller problems, manage dependencies, and efficiently drive through to a solution
• Detail oriented, highly organized
• Ability to communicate clearly and effectively to a wide range of audience (business stakeholders, developer support teams)
• Adaptable to shifting competing priorities
• Committed and pro-active in ensuring high quality of service

• Experience with developing frameworks and tools specific to AI/ML applications
• Familiarity with cloud platforms and development in cloud environments

• Director

• Contract

• Information Technology

• Banking, Investment Banking, and Financial Services