Staff Software Engineer – Real-Time Systems & Platforms

Doist; New York (NY); Hybrid; USD 240,000 - 255,000; Full time

Job summary

Genius Sports is recruiting a Staff Software Engineer to work on the systems and applications powering Advertising and Fan Engagement products. You will design, build, and own features across the stack, guiding architectural decisions for global scalability and reliability.

We value collaboration and offer an office-first culture with hybrid work arrangements and opportunities to mentor teams while expanding our real-time data platforms and services.

Qualifications

• Candidates should have extensive experience operating distributed systems and building real-time applications.
• Experience designing robust APIs and integrating services in production environments.
• Strong expertise in relational databases, data modeling, indexing, and query optimization.
• Familiarity with messaging systems and scalable backend architectures is required.

Responsibilities

• Design and develop systems powering real-time Advertising and Fan Engagement products.
• Own features end-to-end across the stack and manage lifecycle from development to support.
• Lead architectural decisions to improve scalability, automation, and reliability.
• Mentor engineering teams and contribute to community in the office and beyond.
• Build and improve platform foundations used by multiple services and teams.

Skills

Distributed systems

Real-time systems

APIs design

Relational databases

Messaging systems

Education

Bachelor’s degree in Computer Science

Tools

Rust

Kotlin

TypeScript

React

PostgreSQL

AWS

Temporal.io

Docker

Kubernetes

Pulsar

RabbitMQ

Job description

Genius Sports is recruiting a Staff Software Engineer to work on the systems and applications powering Advertising and Fan Engagement products. You will design, build, and own features across the stack, guiding architectural decisions for global scalability and reliability.

We value collaboration and offer an office-first culture with hybrid work arrangements and opportunities to mentor teams while expanding our real-time data platforms and services.