Total 3 job vacancies by Rapsodo

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.
We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.
As a Full Stack Developer, you will design, develop, and deploy robust, secure, and user-centric applications while leveraging the power of cloud technologies. You will work across the entire tech stack, ensuring our applications are scalable, efficient, and aligned with business goals.

Location:

Singapore

Key Responsibilities:

• Develop Full-Stack Applications: Design, build, and maintain responsive front-end interfaces and secure, scalable back-end services.
• Cloud Integration: Leverage cloud platforms (AWS, Azure, Google Cloud) to develop and deploy cloud-native solutions, ensuring optimal scalability and performance.
• Collaborate Across Teams: Work closely with product managers, designers, and DevOps engineers to deliver seamless user experiences.
• Optimize Performance: Ensure applications perform reliably under high usage, implementing best practices for scalability and security.
• Innovate: Stay ahead of industry trends and bring new ideas to enhance our offerings.

• 8+ years in full-stack development with expertise in front-end frameworks (React, Angular, or Vue.js) and back-end technologies (Node.js, Python, Go, etc.).
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of CI/CD pipelines and DevOps tools.
• Proficiency in building RESTful APIs and microservices architecture.
• Familiarity with containerization (Docker, Kubernetes) and serverless computing.
• Experience with both SQL and NoSQL databases.
• Excellent problem-solving and analytical abilities.
• Strong communication skills to work effectively with cross-functional teams.
• Self-motivated, team-oriented, and driven to innovate.
• A natural curiosity for new technologies and trends in cloud computing and software development.

We are a global leader in sports vision technology, powered by a team that believes in failing fast, learning faster, and winning as a team. At Rapsodo, you'll thrive in a culture driven by customer focus, achieving more with less, and redefining what's possible. If you are eager to work independently while contributing to a dynamic, innovative, and passionate team, we encourage you to submit your application.

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable, and easy to use to empower athletes at all skill levels to analyze and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for very driven team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

Job Description

Our algorithm team designs, develops and implements state of the art computer vision solutions to address needs of complex Rapsodo products. As a Senior Computer Vision Engineer, you will be part of a world-class, skilled engineering team developing state of the art measurement solutions which help athletes reach their full potential. This role requires a highly versatile skill set and you will have opportunities to contribute in all relevant domains. Your responsibilities will include development of new products and enhancing existing products.

• Masters or PhD in Computer Science or related fields with specialization in Computer Vision, and Image Processing
• Minimum 6-8 years of relevant working experience
• Strong knowledge and hands-on experience in 3D Vision, Camera Calibration, Image Classification, Segmentation and Feature Extraction
• Strong knowledge in Linear Algebra, Numerical Optimization, Probability and Statistics
• Hands-on experience with OpenCV
• Excellent C/C++ programming skills with some Python experience
• Experience with software architecture and/or API design, complemented by robust integration skills
• The ability to communicate technical information clearly and succinctly to both technical and non-technical team members

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

About the role:

As a Data Engineering Intern at Rapsodo, you’ll play an essential role in building and optimizing the data infrastructure that powers decision-making and innovation throughout our organization. This role is ideal for students passionate about data engineering, with a foundational knowledge of data analytics to support meaningful insights. You’ll gain hands-on experience with cutting-edge technologies, applying your skills to bridge data engineering and analytics, and making an impact on projects in sports technology and business strategy.

Key Responsibilities:

·       Participate in the design, development, and maintenance of Rapsodo’s data systems, using tools like Google BigQuery, Kafka, and GCP Pub/Sub.

·       Support data ingestion, processing, and ETL (Extract, Transform, Load) processes to deliver reliable data for analytics teams.

·       Collaborate with data analysts and scientists to ensure clean, structured data is available for analysis, reporting, and visualization.

·       Assist in the setup and monitoring of real-time data pipelines, learning to identify ways to streamline data ingestion and reduce latency.

·       Work on data collection, cleaning, and preprocessing, preparing data for analytics and helping generate insights for diverse projects.

·       Collaborate with the team to troubleshoot and improve data pipeline and infrastructure efficiency.

·       Create basic reports, dashboards, and visualizations with tools like Tableau or Power BI, conveying valuable insights to business stakeholders.

·       Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.

·       Knowledge of SQL and familiarity with Google BigQuery or other data warehousing solutions.

·       Exposure to programming languages such as Python or R and experience with data manipulation, cleaning, and preprocessing techniques.

·       Interest in or exposure to data streaming technologies (e.g., Kafka, GCP Pub/Sub) and ETL development.

·       Basic understanding of statistical analysis and hypothesis testing to support data-driven insights.

·       Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI, or Matplotlib) is a plus.

·       Excellent written and verbal communication skills.

·       Strong analytical skills, attention to detail, and problem-solving abilities.

·       Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

·       An inquisitive mindset, coupled with a desire for continuous learning and growth.