Hasbro
Software Development Engineer
About this role
Wizards of the Coast is hiring a Software Development Engineer to build and expand shared digital gaming services that power their ecosystem of games and products. You'll work on highly available, scalable systems supporting game launches, telemetry pipelines, and cross-platform integrations while partnering with game studios and infrastructure teams.
What you'll do
- Develop and deliver digital gaming services and infrastructure supporting the Wizards of the Coast ecosystem
- Support game launches with technical work on in-game promotions and marketing integrations
- Refactor and scale the data pipeline to build an independent, real-time telemetry system with performance monitoring
- Lead large-scale service delivery to internal and external customers across multiple game studios
- Partner with game studios, marketing, analytics, and infrastructure teams to ensure shared components meet stakeholder needs
- Write documentation and establish best practices for the service ecosystem
What they're looking for
- Go (Golang)
- AWS infrastructure and distributed systems
- Container orchestration (Docker, Kubernetes, EKS, ECS)
- Observability tools (Grafana, Datadog, Prometheus)
- Third-party account integrations (PlayStation, Steam, Xbox, Apple, Google)
- Infrastructure as code and automation
- Highly available, scalable system design
- AI tooling integration
Opens the official application on the employer’s site. No login required.
Hasbro
Hasbro develops gaming products and entertainment experiences, including Magic: The Gathering Arena and AI-powered character systems for iconic brands. The company is hiring for software engineers to build game infrastructure and CI/CD systems, packaging engineers to design product solutions, and AI engineers to develop intelligent character systems.
- Website
- hasbro.com
Likely interview questions
- Describe your experience building or supporting highly available gaming services at scale—what were the key challenges?
- How have you approached refactoring or redesigning a data pipeline to improve scalability and real-time performance?