Tech.

We are looking for a Senior Software Engineer with strong Game Engine experience to join a team developing technology that powers high-quality online casino games.   The ideal candidate is a hands-on engineer with a strong software engineering background and proven experience working on game engines, game frameworks, or core game technology. Experience in iGaming, online casino, slots, or other real-money gaming environments is highly desirable.   Key Responsibilities - Design, develop, and maintain game engine and core gaming technologies. - Build reusable components and frameworks used across multiple casino games. - Develop and optimize game logic, game states, animations, rendering, and core game functionality. - Improve engine performance, scalability, reliability, and maintainability. - Work closely with Game Developers, Artists, Product Managers, QA, and other engineering teams. - Contribute to technical architecture and make decisions around the evolution of the game engine. - Troubleshoot complex technical and performance issues. - Write clean, maintainable, well-tested, and production-ready code. - Mentor other engineers and contribute to engineering best practices.   Must-Have Requirements Strong professional experience developing or working with a Game Engine or Game Framework. - Senior-level experience in software engineering. -Strong programming skills in JavaScript/TypeScript, C++, C#, or another relevant language. Solid understanding of game architecture, game loops, state management, and game mechanics. Experience with 2D/3D rendering, graphics, animation, WebGL, Canvas, or similar technologies. - Experience building reusable and scalable game components/frameworks.

Quantitative Trader (Prediction Markets) — Remote Europe A fully remote trading company operating in prediction markets is looking for a Quantitative Trader to join a senior team building high-performance automated trading systems. The business is backed by an established tier 1 iGaming and sports betting operator and benefits from significant industry expertise, technology, and resources. The role is focused on overseeing highly automated live trading, improving trading strategies, identifying and validating edge, and safely rolling improvements into production. Performance will be measured through areas such as EV gains, fill quality, and trading-system uptime. This is a live-markets position. It is not a traditional 9-to-5 role, and some weekend coverage is expected as part of the trading team's shared schedule. Main Responsibilities: Monitor live automated trading, including performance, exposure, market behaviour, and risk during sporting events. Adjust algorithmic trading behaviour when required and intervene through hedging or halting when markets, models, or data behave unexpectedly. Research, test, and improve pricing, signals, quoting strategies, models, and risk logic across sports prediction markets. Manage the safe rollout of strategy changes using shadow, canary, or staged-exposure approaches. Analyse trading data including P&L attribution, fill quality, slippage, exposure, and model performance. Backtest and simulate strategy changes before they are introduced into live markets. Work closely with trading-systems engineers to translate strategy ideas into production logic and improve trading tools, controls, and guardrails. Contribute trader judgement to product decisions around instrument design, pricing, settlement, and risk. Desired experience: Strong sports betting domain knowledge is essential. Experience within a sportsbook, betting exchange, betting operator, financial trading environment, or a demonstrable personal betting track record. Good understanding of probability, statistics, expected value, edge, risk, and market dynamics. Comfortable analysing trading data using Python and/or SQL. Experience using AI tools to support research, analysis, and reporting. Python skills are sufficient for the role. C#/.NET knowledge is advantageous but not mandatory. Quantitative background through Mathematics, Computer Science, Engineering, Statistics, Economics, or equivalent practical experience. Willingness and genuine interest in working around US sporting events, including some weekends. Comfortable working with ownership and ambiguity in an early-stage environment. Experience with prediction markets, exchange-style products, sports modelling, machine learning, automated trading strategies, BI/reporting, or C#/.NET would be advantageous but is not 100% mandatory.      

I am looking for a motivated Quality Manager to join my client's team at their Parma office. The successful candidate will contribute to the continuous development of our management system, ensuring compliance with international standards and promoting a culture of continuous improvement. Requirements Qualifications University degree and a minimum of 3 years of experience in a similar role. Excellent command of English (C1 level). Strong organisational skills and excellent attention to detail. Certification in quality auditing or a related field is considered a plus. Proven ability to work collaboratively with internal teams and external stakeholders. Responsibilities Maintain and develop, including the modification or extension of, the ISO/IEC 17020, ISO/IEC 17025, ISO/IEC 17065, and ISO/IEC 17021-1 standards within the CAB management system, as well as related accreditation activities. Coordinate and oversee the company’s entire management system, ensuring that all procedures comply with the applicable standards. Coordinate internal and external audit activities and manage relationships with accreditation bodies, consultants, and contracted auditors. Manage non-conformities and implement appropriate corrective actions.