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Salary: USD 153,120 - 196,750 / annual
Roblox is seeking a Software Engineer for its Reliability team to help scale and optimize the platform that serves tens of millions of daily active users. In this role, you will own well-scoped features and components within multi-quarter projects, working on infrastructure that uses AI and ML to scale services and workloads across multiple geographic regions.
Key responsibilities include:
- Owning features and components from design through production rollout that improve system efficiency and reliability
- Building and improving systems that use AI and ML to scale services and workloads across geographic regions
- Finding and fixing performance and efficiency problems in production services through metrics analysis and profiling
- Collaborating with product and infrastructure teams to understand problems and solve them with software
- Participating in on-call rotations and incident follow-ups, converting learnings into lasting reliability improvements
You will work alongside senior engineers building infrastructure at global scale, learning how to handle hard technical problems and ship solutions that perform reliably in production.
REQUIREMENTS:
- Education: BS degree (or equivalent professional experience) in Computer Science or related engineering field
- Experience: At least 2 years building backend systems or AI/ML pipelines (internships and research count)
- Coding: Strong proficiency in at least one programming language (Python, Rust, Go, Java, C#); ability to write clean, tested, maintainable code
- Systems fundamentals: Solid grasp of distributed systems concepts (concurrency, networking, caching, load balancing, failure modes)
- Performance: Experience profiling, benchmarking, or tuning a service or pipeline; ability to explain changes and their impact
- Mindset: Curiosity about how systems work; persistence on hard problems; ability to take feedback and grow scope over time
- Nice to have: Experience with containers/orchestration (Kubernetes, Nomad), observability tools (Prometheus, Grafana), or applying ML/forecasting to operational data