About the job
At Genius Sports, we are revolutionizing the sports industry by merging cutting-edge technology with premium live data. Our mission is to create unparalleled experiences for sports fans around the globe, making every interaction more immersive, engaging, and personalized. Discover more about us at geniussports.com.
About the Role
We are on the lookout for a Staff Software Engineer who possesses extensive technical skills, a sense of ownership, and a commitment to continuous learning. In this pivotal role, you will navigate complex issues, influence technical direction, and foster a positive engineering culture.
Your responsibilities will include tackling intricate and ambiguous challenges, applying best practices in Agile software development, and adapting quickly to new technologies. We seek engineers focused on delivering meaningful results rather than being limited by specific programming languages or frameworks.
Your expertise in technical leadership and pragmatic decision-making will be essential as you balance immediate project demands with long-term system integrity. You will thrive in an Agile environment that champions continuous improvement and data-driven strategies. Formulating and testing hypotheses, validating assumptions through experimentation, and using data to inform architectural and product decisions will be key aspects of your role.
Key Responsibilities
- Lead the design, development, and enhancement of robust data platforms and backend systems.
- Serve as a technical authority across teams, impacting architectural decisions and establishing engineering standards.
- Collaborate with data engineers, product managers, and other stakeholders to define system boundaries, APIs, and long-term technical vision.
- Enhance performance, scalability, reliability, and maintainability of critical systems.
- Architect and implement efficient and resilient data storage and access methodologies.
- Produce high-quality, maintainable code while advocating for best practices in coding, testing, and documentation.
- Identify and address complex production issues, leading root-cause analysis and preventative actions.
- Promote continuous improvement through the assessment of new technologies and methodologies.

