We are seeking a skilled Software Engineer, Product to join our dynamic team at Game Theory. This role is primarily focused on developing high-performance mobile applications using React Native with some backend involvement. The successful candidate will contribute to both the technical and strategic aspects of product development, ensuring our apps provide an exceptional user experience and redefine the way people play sports. Key Responsibilities: Mobile App Development : Design, develop, and maintain high-quality mobile applications using React Native as your primary focus, ensuring they align with the product vision and goals. React Component Development : Create reusable, efficient, and we'll-tested React components that form the building blocks of our mobile applications. Cross-Platform Implementation : Leverage React Native to deliver consistent user experiences across both iOS and Android platforms. UI/UX Implementation : Collaborate with designers to transform wireframes and mockups into responsive, intuitive mobile interfaces that delight our users. Frontend Performance : Optimize React/React Native application performance through efficient rendering, state management, and memory usage. Supporting Backend Work : Contribute to backend development using NodeJS and MongoDB when needed to support frontend features and functionality. API Integration : Connect mobile applications with backend services through RESTful APIs and ensure robust data flow. Code Quality : Write clean, maintainable, and efficient code, adhering to React/React Native best practices and coding standards. Testing QA : Implement component testing, integration testing, and participate in QA processes to ensure application reliability. Collaboration : Work closely with cross-functional teams, including designers, product managers, and backend engineers, to deliver high-quality products. Required Qualifications: Experience : 2-4 years of full-time work experience as a Software/Product Engineer, with a primary focus on React and mobile app development. Technical Skills : Strong proficiency in JavaScript/TypeScript and React (must-have) Experience with React Native or willingness to quickly learn (preferred) Understanding of React component lifecycle, hooks, and state management Knowledge of responsive design principles and cross-platform considerations Familiarity with RESTful APIs and mobile networking Supporting Skills : Basic understanding of NodeJS and MongoDB (helpful) Experience with version control systems (Git) Knowledge of modern front-end build pipelines and tools Product Focus : Ability to understand and translate product requirements into technical solutions. Problem-Solving : Excellent analytical and problem-solving skills. Communication : Strong verbal and written communication skills. Education : Bachelors degree in Computer Science, Engineering, or a related field. Preferred Qualifications: Professional experience specifically with React Native development. Experience with mobile app deployment processes for both iOS and Android. Familiarity with state management libraries like Redux, MobX, or Recoil. Understanding of the full mobile development life cycle from concept to deployment. Experience with UI testing frameworks for React/React Native. Experience working in an agile development environment. Knowledge of native module integration in React Native applications. Excellent component architecture and system design skills. What We Offer: The opportunity to be at the forefront of sports technology innovation. A dynamic and challenging environment that promotes personal and professional growth. Autonomy to steer projects with a significant impact on the sports industry. Competitive compensation package, including equity options

We are seeking a skilled Software Engineer, Infrastructure (DevOps) to join our dynamic team at Game Theory. This role is essential in building and maintaining robust infrastructure, deployment pipelines, and cloud resources that power our mobile applications and backend services. The successful candidate will contribute to both infrastructure management and backend development, ensuring our systems are scalable, reliable, and secure while helping redefine the way people play sports. Key Responsibilities: Infrastructure as Code : Design, implement, and maintain cloud infrastructure using IaC tools like Terraform or CloudFormation, ensuring scalability, reliability, and security. CI/CD Pipeline Management : Build and optimize continuous integration and continuous deployment pipelines to enable fast, reliable software delivery. Container Orchestration : Manage containerized applications using Kubernetes or similar orchestration systems to ensure efficient resource utilization. Cloud Services : Architect and implement cloud-based solutions (AWS/GCP/Azure) for application hosting, data storage, and processing. Monitoring and Alerting : Implement comprehensive monitoring, logging, and alerting systems to ensure application health and performance. Security Implementation : Design and enforce security best practices across infrastructure and application deployment. Backend Development : Contribute to backend development using NodeJS and MongoDB, collaborating with the development team on architectural decisions. Performance Optimization : Analyze and optimize application performance, database queries, and infrastructure costs. Disaster Recovery : Design and implement backup and recovery strategies to ensure business continuity. Documentation : Create and maintain comprehensive documentation for infrastructure, deployment processes, and operational procedures. Required Qualifications: Experience : 2-4 years of full-time work experience as a DevOps Engineer, Site Reliability Engineer, or Infrastructure Engineer. Technical Skills : Strong proficiency in at least one scripting language (Python, Bash, JavaScript) Experience with infrastructure as code tools (Terraform, Ansible, CloudFormation) Hands-on experience with containerization technologies (Docker, Kubernetes) Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI) Familiarity with cloud platforms (AWS, GCP, or Azure) Knowledge of monitoring and logging solutions (Prometheus, Grafana, ELK stack) Understanding of networking concepts and security practices Backend Development : Working knowledge of NodeJS and MongoDB or similar technologies. Problem-Solving : Excellent analytical and troubleshooting skills with the ability to resolve complex infrastructure issues. Communication : Strong verbal and written communication skills to collaborate with cross-functional teams. Education : Bachelors degree in Computer Science, Engineering, or related field. Preferred Qualifications: Cloud platform certifications (AWS, GCP, or Azure). Experience with microservices architecture and serverless computing. Familiarity with database administration and optimization. Knowledge of security best practices and compliance requirements. Experience working in an agile development environment. Understanding of cost optimization strategies for cloud resources. Experience supporting mobile application backends and APIs. Ability to mentor and guide other team members on infrastructure best practices. What We Offer: The opportunity to be at the forefront of sports technology innovation. A dynamic and challenging environment that promotes personal and professional growth. Autonomy to architect and implement infrastructure solutions with significant impact. Competitive compensation package, including equity options

We are seeking a skilled Data Engineer to join our dynamic team at Game Theory. This role is pivotal in building and maintaining our data infrastructure, ensuring the efficient collection, storage, processing, and analysis of data related to sports games and events. The successful candidate will work closely with cross-functional teams to drive data-driven decision-making and enhance our sports technology solutions, including preparing high-quality datasets to power our AI models. Key Responsibilities: Data Pipeline Development : Design, develop, and maintain robust ETL pipelines to process sports game data, including scores, computer vision analysis, skill scores, win/loss ratios, streaks, and leaderboards. NoSQL Database Management : Create and optimize MongoDB collections, indexes, and aggregation pipelines to ensure efficient data storage and retrieval. Data Integration : Integrate various data sources, ensuring data consistency and reliability across the platform. Database Management : Create and manage database schemas for both SQL and NoSQL databases, optimize query performance, and ensure data integrity. Data Cleaning and Preparation : Perform data cleaning, transformation, and aggregation to prepare datasets for analysis, reporting, and AI model training. AI Model Data Preparation : Develop processes to transform raw data into structured formats suitable for machine learning models, including feature engineering and dataset balancing. Metrics Generation : Develop and maintain metrics and dashboards that provide insights into player performance, game statistics, and other key indicators. Data Quality Assurance : Implement data quality checks and monitoring processes to ensure data accuracy and completeness. Collaboration : Work closely with data scientists, analysts, and software engineers to understand data needs and deliver solutions that meet business requirements. Documentation and Best Practices : Document data processes, pipelines, and best practices to ensure maintainability and reproducibility. Required Qualifications: 2-4 years as a Data Engineer, preferably within a tech startup or sports technology company. Strong proficiency in SQL and experience with relational databases (eg, PostgreSQL, MySQL). Experience with NoSQL databases, particularly MongoDB, including schema design, aggregation framework, and performance optimization. Experience with ETL tools and frameworks (eg, Apache Airflow, Apache NiFi). Proficiency in programming languages such as Python or Scala. Familiarity with data modelling, data warehousing, and big data technologies (eg, Hadoop, Spark). Knowledge of data preparation techniques for machine learning applications. Strong analytical and problem-solving skills with attention to detail. Excellent communication and collaboration skills. Bachelors degree in Computer Science, Engineering, or a related field. Preferred Qualifications: Experience with cloud-based data platforms (eg, AWS, GCP, Azure). Knowledge of sports data and metrics, including ELO ratings, win/loss ratios, and leaderboards. Experience with data visualization tools. Understanding of AI/ML workflows and the specific data requirements for training models. Experience with data streaming technologies (eg, Kafka, Kinesis). Knowledge of data governance and compliance requirements. Masters degree in a related field. What We Offer: The opportunity to be at the forefront of sports technology innovation. A dynamic and challenging environment that promotes personal and professional growth. Autonomy to steer projects with a significant impact on the sports industry. Competitive compensation package, including equity options