Senior Software Engineer, GameTech Cortex, AWS GameTech Cortex

AWS GameTech Cortex is seeking an experienced Senior Software Development Engineer to join our team that specializes in full-stack data solutions for games. In this role, you will architect and build scalable, high-performance systems that directly impact how game developers build, operate, and optimize their games on AWS. You will work at the intersection of gaming, software engineering, and cloud infrastructure to solve complex technical challenges in areas such as player behavior analytics, game performance optimization, content recommendation systems, and anti-cheat detection.

As a Senior Software Development Engineer, you will design and implement distributed systems that process billions of gaming events, enable real-time insights, and power machine learning solutions. You'll collaborate closely with Applied Scientists, Product Managers, and Game Developer customers to build the next generation of gaming infrastructure on AWS.

The ideal candidate combines deep expertise in service & systems engineering with a passion for gaming and the ability to deliver production-ready solutions. You will mentor junior engineers, establish best practices for SDE development, and contribute to the technical direction of the team.

Key job responsibilities Design, build, and maintain large-scale distributed systems for gaming workloads, supporting millions of concurrent players and processing terabytes of gaming data daily

Architect and implement APIs and services that enable game developers to integrate advanced analytics, ML-powered features, and optimization tools into their games

Build real-time streaming systems for live game monitoring, player behavior analysis, and dynamic content delivery

Develop scalable backend services for anti-cheat systems, player segmentation, and game balancing algorithms

Create robust data ingestion pipelines that handle high-velocity gaming telemetry from multiple platforms (PC, mobile, console)

Implement microservices architecture supporting gaming use cases like matchmaking, leaderboards, and social features

Optimize system performance for low-latency gaming applications, ensuring sub-100ms response times for critical game operations

Collaborate with Applied Scientists to productionize ML models for player behavior prediction and game optimization

Mentor junior engineers and establish engineering best practices for gaming-focused cloud services