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Genius Sports

Staff Software Engineer ( Ad-Tech)

Reposted 10 Hours Ago
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Hybrid
New York, NY
215K-250K Annually
Senior level
Easy Apply
Hybrid
New York, NY
215K-250K Annually
Senior level
The Staff Software Engineer will lead backend system design, improve data platforms, mentor engineers, and drive technical direction in Agile development environments.
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By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.

About the Role  

We are looking for a Staff Software Engineer who brings deep technical expertise, strong ownership, and a continuous learning mindset to the tools and products they build. At this level, we believe great engineers operate effectively across problem spaces, lead through influence, and help shape both technical direction and engineering culture.

You will be trusted to take on complex, ambiguous problems and drive them to successful outcomes, applying best practices in Agile software development along the way. We value engineers who can adapt quickly, learn new technologies as needed, and focus on delivering meaningful impact rather than being constrained by specific languages or frameworks.

We will lean on your technical leadership, pragmatic decision-making, and ability to balance short-term delivery with long-term system health. You will work in an environment that prioritizes Agile principles, continuous improvement, and data-driven decision-making. You are comfortable forming and testing hypotheses, validating assumptions through experimentation, and using evidence to guide architectural and product decisions.  

Key Responsibilities 

  • Lead the design, development, and evolution of robust data platforms and backend systems and services.
  • Act as a technical authority within and across teams, influencing architectural decisions and setting engineering standards.
  • Collaborate closely with data engineers, product managers, and other stakeholders to define system boundaries, APIs, processes, and long-term technical direction.
  • Drive improvements in performance, scalability, reliability, and operability across critical systems.
  • Design and implement efficient, resilient data storage and data access patterns.
  • Write high-quality, maintainable code and advocate for best practices in code quality, testing, and documentation.
  • Identify, troubleshoot, and resolve complex production issues, including leading root-cause analysis and preventative improvements.
  • Champion continuous improvement by evaluating new technologies, tools, and approaches where they provide clear value.
  • Mentor and coach engineers across teams, supporting technical growth and raising the overall engineering bar.  

Qualifications   

  • Strong proficiency in Java or other JVM languages, Spring, Rust, or Go.
  • Extensive experience designing and working with RESTful APIs and distributed services.
  • Broad experience implementing data platform management and aggregation pipelines using tools like Spark, Map/Reduce, Airflow, Hadoop, Snowflake, Databricks, or other “Big Data” toolsets.
  • Solid understanding of relational and NoSQL databases, including trade-offs in data modeling and consistency.
  • Experience using version control systems (e.g. Git) in collaborative, multi-team environments.
  • Proven ability to solve complex problems and make sound technical decisions in ambiguous situations.
  • Ability to work independently while also leading and influencing teams without formal authority.
  • Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.

Preferred Qualifications   

  • Experience with multiple architectural and software frameworks.
  • Experience working in container based environments (e.g. Docker, Kubernetes) 
  • Knowledge of modern build pipelines and tools. 
  • Familiarity with Agile development methodologies. 
  • Experience with testing frameworks. 

The salary for this role is based on an annualized range of $215,000 - $250,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change 

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Top Skills

Airflow
Databricks
Docker
Git
Go
Hadoop
Java
Kubernetes
Map/Reduce
Restful Apis
Rust
Snowflake
Spark
Spring

Genius Sports Los Angeles, California, USA Office

In Los Angeles, we build unique and innovative solutions through unparalleled capabilities in machine understanding of sports.

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