Top Tech Jobs & Startup Jobs

Develop and maintain scalable full-stack applications for the Risk and Regulatory team using TypeScript, React, JavaScript, Golang, SQL, and Google Cloud Platform. Responsibilities include enhancing application codebases, building automation and tooling, identifying technical improvements, supporting product owners and testing teams, contributing to solution proposals, and estimating work within an agile Scrum environment.

Lead the development and deployment of probabilistic and machine learning models powering real-time sports betting markets. Analyze large datasets, validate models against historical and live data, optimize accuracy and scalability, collaborate with trading and software teams, research novel techniques, and mentor junior data scientists.

Leads the development and deployment of probabilistic and machine learning models for real-time sports betting markets. Responsibilities include analyzing large datasets, pricing betting products, validating models against historical and live data, optimizing accuracy and efficiency, researching new techniques, collaborating with trading and engineering teams, identifying data-driven opportunities, and mentoring junior data scientists.

Develop and maintain scalable full-stack software for the Risk and Regulatory team. Responsibilities include building application features and tooling, supporting existing codebases, improving technical quality, collaborating with Product Owners and Testing teams, contributing to solution proposals, and estimating work. The role uses TypeScript, React, JavaScript, Golang, SQL, Google Cloud Platform, and agile development practices in a high-volume, low-latency environment.

Build and maintain the backend platform for the FollowScores football app. Develop scalable, high-performance Golang microservices, WebSocket and REST API systems, and integrate third-party services using Redis and GCP. Deliver reliable, maintainable solutions for high-availability, multi-user, multi-client environments while collaborating with technical teams and addressing business requirements.

Develop and support a business-critical Martech Content Platform using full-stack technologies and cloud platforms. The role leads technical delivery, designs scalable and highly available systems, provides technical governance, estimates work, produces solution documentation, and mentors developers. Responsibilities include hands-on development from design through production, supporting operational systems, ensuring code quality and performance, and acting as an escalation point for the team.

Lead development of a business-critical verification platform undergoing re-architecture with Golang, React, cloud platforms, Kafka, SQL, .NET, and TypeScript. Drive solution design, code quality, scalability, performance, availability, and production delivery. Mentor developers, review technical output, estimate work, document solutions, support operational escalations, and collaborate with managers and architects to deliver reliable verification systems including real-time facial recognition capabilities.

Develop and support a business-critical verification platform during a re-architecture to Golang, React, and cloud platforms. The role involves designing scalable, high-availability systems, implementing real-time facial recognition and operational tooling, leading a small development team, owning technical delivery, mentoring developers, governing solution design, and ensuring code quality, performance, documentation, and successful project completion.

Lead development of Cerberus, a scalable real-time facial recognition and identity platform. Design and deliver reliable full-stack systems, oversee architecture and code quality, mentor developers, manage technical delivery, and serve as an escalation point for incidents. The role emphasizes AI-driven engineering, image analysis, high availability, technical documentation, solution governance, and collaboration across development and operational teams.

Develop machine learning solutions, statistical models, predictive analytics, and experiments to support data-driven decisions across sports and gaming products. Responsibilities include sourcing and validating datasets, exploratory analysis, model deployment, scalable data infrastructure, A/B testing, stakeholder collaboration, and communicating insights through visualizations and presentations.