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# Staff Software Engineer, Ad-Tech

- **Company:** Genius Sports Group
- **Location:** New York, NY, United States
- **Salary:** $240,000.0 - $255,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Relational Databases, Distributed Systems, PostgreSQL, Performance Tuning, Query Optimization, RabbitMQ, Systems Integration, TypeScript, Web Applications, Rust (Programming Language), Real Time Systems, ReactJS, Database Optimization, Backend, Kotlin, Build Management, Kubernetes, Information Technology, Graphql, Front End Software Development, Hardware Infrastructure, Data Pipelines, Docker
- **Published:** July 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bb40ee691a66f414

## About the Role

Experience operating distributed systems.
Experience building real-time systems and interactive web frontends.
Experience designing APIs and integrating services.
Experience managing relational databases (schema design, indexing strategies, query optimization, performance tuning, migrations, and availability considerations).
Experience using messaging systems (partitioning strategies, broker scaling, consumer design)
Bachelor's degree in Computer Science or equivalent experience.

It'll be a bonus if you know:
Rust, Kotlin, TypeScript, React
Postgres, relational databases
Video frameworks and standards
REST, GraphQL
AWS, Temporal.io
Docker, Kubernetes
Pulsar, RabbitMQ

## Description

Design and develop systems and applications that power our automated, real-time Advertising and Fan Engagement products.
Own and implement features end-to-end across the stack, taking responsibility for the system lifecycle from development, deployment and support of critical products to customers.
Lead technical discussions, drive architectural decisions, and identify opportunities to improve scalability, automation, and operational efficiency as we expand across new leagues and sports globally.
Provide guidance and direction to product to help translate ideas into practical technical solutions.
Design and maintain the foundational platform that powers our systems and supports development & iteration by engineering teams building on this platform.
Design and improve testing and release strategies for complex systems - including backend services, web applications, data pipelines, messaging and streaming services, real-time model inference systems, and on-site hardware components.
Monitor, analyze, and continuously improve system performance, reliability, and scalability.
Provide mentorship and leadership in our local (in-office) and broader engineering community.
Design and build mechanisms for enabling human or agent-in-the-loop workflows that validate, correct, and enhance outputs from the system.


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