Top Tech Jobs & Startup Jobs

Design and evolve high-fidelity user experiences for a global sports betting product. Create visual designs, prototypes, user flows, and design systems using Figma, while collaborating with lead designers, developers, and stakeholders. Translate business requirements into intuitive interfaces, maintain visual consistency, incorporate feedback, improve usability, and present design rationale across digital platforms.

Design intuitive gaming product experiences and visual interfaces across digital platforms. Responsibilities include creating high-fidelity designs and prototypes, developing style guides, collaborating with stakeholders and developers, researching design trends, reviewing content, presenting design rationale, and iterating based on feedback while maintaining consistent design standards.

Lead development and re-architecture of a business-critical verification platform using Golang, React, cloud technologies, and real-time facial recognition. Responsibilities include technical leadership, solution design, code quality governance, scalability and performance improvements, technical documentation, estimation, production support, stakeholder collaboration, mentoring, and ownership of solutions from development through deployment.

Provide German- and English-language customer support for betting, payment, and account queries through live chat, email, and phone. Resolve issues, investigate complaints, maintain policy and licensing knowledge, escalate when needed, and promote safer gambling. The role requires multitasking across a flexible schedule including evenings, weekends, and public holidays.

Leads development and re-architecture of a business-critical verification platform using Golang, React, cloud technologies, and AI-powered facial recognition. Oversees solution design, code quality, scalability, performance, documentation, estimation, and production delivery. Mentors developers, reviews team output, resolves escalations, collaborates with architects and stakeholders, and ensures reliable high-availability systems meet business requirements.

Develop machine learning models, perform statistical analysis, and extract actionable insights from large datasets. Responsibilities include data sourcing and validation, exploratory analysis, predictive modeling, A/B testing, scalable data science infrastructure, stakeholder collaboration, and communicating findings through visualizations and presentations. The role supports data-driven decisions across fraud, responsible gambling, trading, branding, sports, and gaming products.

Develop machine learning and statistical models, analyze large datasets, conduct exploratory analysis and controlled experiments, and deliver actionable insights for sports and gaming products. The role partners with Fraud, Responsible Gambling, Trading, Branding, and other stakeholders to solve business problems, maintain scalable data science infrastructure, communicate findings, and promote innovative data science practices.

Provide customer support for an online gambling platform through live chat, telephone, and email. Investigate and resolve inquiries, complaints, and account issues using internal tools, escalating when needed. Explain policies and licensing requirements accurately, collaborate across departments, and promote responsible gambling. The role includes an eight-week training program, rotating evening, weekend, and holiday schedules, and requires strong communication, multitasking, attention to detail, problem-solving, and customer-service skills.

Develop and maintain sports trading and tools applications and platforms using .NET, C#, and SQL Server. Build scalable, low-latency, highly available software handling high-volume real-time data. Support existing 24/7 trading systems, perform root-cause analysis, collaborate with product owners and testing teams, contribute to solution proposals and estimates, and mentor technical team members. The role will also expand into Golang, React, and Google Cloud Platform.

Develop and evolve a high-throughput, low-latency US sports betting platform using distributed systems and microservices. Build resilient, scalable services for peak sporting events, collaborate with technical and non-technical stakeholders, contribute to architectural direction, and mentor junior engineers. The role also involves cloud infrastructure, Kubernetes, reliability, concurrency, debugging, and delivery of quality software in an agile environment.