About this opportunity
Battle Tested lists this Lead Technology Genai Platform opportunity in city of jersey city, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Build the platform that brings generative AI into global financial markets.
Do not wait to apply after reading this description a high application volume is expected for this opportunity.
We are seeking a hands-on Feature Lead to help design, build, and deliver an enterprise Generative AI platform supporting Sales & Trading, Quantitative Strategies, Research, and Operations.
This role combines software engineering, architecture, and technical leadership. You will develop production-ready capabilities, guide engineers, and translate business requirements into reusable, scalable platform solutions. The platform will support a growing portfolio of use cases using proprietary and open-source large language models and large structured and unstructured datasets.
This is an individual contributor role with team leadership responsibilities and substantial hands-on development.
What You’ll Do
Own end-to-end feature delivery, from requirements and architecture through development, testing, deployment, and ongoing improvement.
Design and implement multi-tier, microservices-based application architectures.
Build, optimize, and troubleshoot high-performance APIs using Python and FastAPI .
Implement containerization, distributed caching, and message queues to support scalable, reliable systems.
Integrate business use cases into shared platform capabilities that teams can reuse and extend.
Work with Product Owners and business stakeholders to clarify requirements, prioritize work, and define acceptance criteria.
Break complex initiatives into actionable development tasks, estimates, and delivery plans.
Establish and maintain CI/CD pipelines for automated testing and deployment.
Automate development lifecycle activities to improve delivery speed and reduce manual effort.
Lead code reviews, guide architecture decisions, and apply enterprise engineering standards.
Mentor engineers in solution design, troubleshooting, estimation, and development practices.
Identify performance bottlenecks and implement software enhancements and infrastructure upgrades.
Manage technical debt while maintaining platform quality and supporting continued growth.
Required Qualifications
Software Engineering and Architecture
Strong hands-on Python development expertise.
Proficiency in Unix/Linux scripting.
Experience designing and implementing multi-tier applications and microservices-based platforms.
Experience developing and optimizing APIs using FastAPI.
Experience across the full software development lifecycle.
Data and Databases
Strong knowledge of relational databases, including Oracle and MySQL .
Strong knowledge of NoSQL databases, including MongoDB .
Experience processing and integrating large structured and unstructured datasets.
Front-End Development
Working knowledge of HTML/CSS, JavaScript, XML, React, and jQuery , with the ability to support end-to-end application delivery.
Platform and Distributed Systems
Experience with containerization technologies, distributed caching, and message queues.
Experience designing scalable, high-performance systems.
Experience implementing and automating CI/CD pipelines.
Technical Leadership and Collaboration
Experience guiding solution design and architecture decisions.
Ability to estimate work, decompose complex requirements, and guide execution.
Experience conducting code reviews and mentoring development teams.
Ability to balance feature delivery, engineering quality, and technical debt.
Strong stakeholder communication, critical thinking, and problem-solving skills.
Preferred Qualifications
Experience delivering data analytics, AI, or GenAI solutions.
Familiarity with TensorFlow or PyTorch .
Knowledge of large language model fine-tuning, Retrieval-Augmented Generation (RAG) , and tools for agentic AI solutions.
Experience with asynchronous programming, Redis or similar distributed caching technologies, and OpenTelemetry.
Knowledge of authentication and authorization mechanisms.
Experience building enterprise platforms in financial services, capital markets, or similarly complex environments.
What Success Looks Like in the First 90–120 Days
Feature delivery: Deliver agreed-upon platform features and business use case integrations through testing, acceptance, and deployment.
Scalability and performance: Establish performance baselines, identify bottlenecks, and implement improvements against agreed API and platform performance targets.
Engineering efficiency: Implement or improve automated testing and deployment pipelines, with measurable reductions in manual steps.
Engineering quality: Meet documented acceptance criteria, apply coding and architecture standards, and maintain a prioritized technical debt backlog.
Team execution: Establish clear work breakdowns, estimates, code review practices, and technical guidance that support predictable delivery. xzgxqkn
Education
Bachelor’s degree or equivalent work experience.
Worksite address
city of jersey city, NJ, 07305, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.