Software Architect

BettingJobs are currently recruiting for a Software Architect for an innovative sports betting company. Working from their central London office, the Software Architect will be responsible for the overall software development strategy and execution, with a focus on Machine Learning projects.

This role would be well suited to an experienced Software Architect with experience managing a small team and a strong knowledge of sports data services within the betting industry.

Responsibilities:

• Develop and execute the software engineering strategy for the company
• Contribute directly to system design, problem solving, architecture review
• Integrate multiple products/tech-stacks into a unified architecture
• Define and foster the engineering culture, standards and approaches
• Ensure the quality (high-SLA) and scalability of systems
• Stay up-to-date on the latest engineering trends and technologies
• Lead a multilayered internationally distributed team of engineers in the development and delivery of services
• Hire and develop engineering talent

Requirements:

• Bachelor’s degree in Computer Science or related field
• Experience in a leadership role within a software engineering environment
• Track record of developing and delivering Machine Learning projects
• Experience in developing and delivering internet services (cloud)
• Excellent knowledge of sports data services within the sports betting industry
• Strong problem-solving and analytical skills
• Excellent communication and interpersonal skills
• Machine learning experience: model/algorithm selection, new model development, tuning, measurement, feature selection, data cleaning
• Expertise in many of the below technologies with familiarity with others preferred;
  • Modern IDE’s : CI/CD, automated testing, dev/beta/prod environments, experiment frameworks
  • Embedded systems : custom hardware, sensors, deployment, remote management, firmware build and update
  • Computer Vision : openCV, realtime video processing, content analysis/understanding.
  • Privacy, security, authentication systems
  • High qps, high SLAAPI deployment
  • Python, c#, c++, rust, javascript/typescript, github/gitlab, django, mongodb (or other nosql), mysql/postgres, react/react-native, Node.js, wordpress, tensorflow, jupyter, colab, ML feature stores, dashboards, monitoring