The engineer will design, develop, and optimize UniData/Universe applications to manage complex commission-processing logic and distributor hierarchies. They will also perform data extraction, transformation, and reconciliation while ensuring the accuracy of high-volume transactional data.
Design, build, and ship production-grade AI agents for enterprise planning. Develop supporting infrastructure including data pipelines, retrieval systems, and evaluation harnesses.
Lead the design and maintenance of automated testing frameworks for web, mobile, and API applications. Integrate automated tests into CI/CD pipelines and manage the end-to-end testing lifecycle including defect management and root cause analysis.
Design, build, and deploy systematic trading strategies and research infrastructure for various asset classes. Integrate machine learning models into trading workflows and monitor performance to improve risk-adjusted returns.
Lead and scale agency and strategic partnerships to drive revenue growth within the Shopify ecosystem. Define the end-to-end partnership strategy and manage high-value relationships to optimize partner performance and ROI.
The role involves testing web applications, monitoring production reliability, and analyzing customer behavior to improve product quality. Additionally, the engineer will review 3D printability of uploaded CAD files and perform light engineering fixes in the codebase.
Create and modify 3D CAD models from various inputs, prepare them for 3D printing across multiple processes, and ensure manufacturability and compliance with design rules. Collaborate with the Accio3D team to recommend design changes, build repeatable workflows, and maintain organized documentation for each part.
Modernize legacy services using AI to analyze codebases and implement migration patterns like the strangler fig. Build AI-powered development infrastructure, including MCP servers and automated CI/CD pipelines for code review and testing.
Contribute to the development and design of cloud-native products and services. Monitor and improve the performance, scalability, and reliability of the product line while supporting infrastructure deployments.
Design, develop, and maintain high-quality iOS applications using Swift within a collaborative environment. Implement CI/CD pipelines and utilize TDD and pair programming to ensure software quality.
Design and implement AI-powered features such as automation and copilots by integrating LLMs and machine learning models into existing services. Collaborate with product teams to translate business requirements into scalable, reliable, and cost-efficient AI-driven solutions.
The developer will be responsible for designing, building, testing, and maintaining scalable full-stack applications using Java for the backend and React/Next.js for the frontend. Key activities include building robust backend services, developing responsive user interfaces, and writing well-tested code using TDD.
As a Lead Engineer, you will design and architect complex, scalable systems while mentoring team members and driving engineering excellence. You will collaborate with cross-functional teams to align technical solutions with business needs and continuously improve trading platforms.
