We’re building the next-generation platform for online gaming. As we scale, we’re creating a single, unified backend service that connects multiple casino game providers into one reliable internal API. This role is all about clean backend architecture, scalability, and integrations — no heavy frontend work.
We’re hiring a Backend Engineer to help us move fast and build this core system.
What You’ll Do
- Build and maintain a scalable game aggregator service using Python and AWS :
- Integrate with multiple third‑party casino game providers (APIs / streams)
- Design a normalized internal API that hides provider-specific complexity
- Ensure high availability, low latency, and fault tolerance :
- Implement monitoring, logging, and alerting for reliability
- Collaborate with product, frontend, and compliance teams to ensure smooth and compliant game delivery
- Contribute to backend architecture, scaling strategy, and DevOps pipelines
What We’re Looking For
- Strong backend-focused Python experience
- Solid experience building REST APIs :
- Hands-on experience with AWS , especially:
- Lambda
- API Gateway
- ECS / Fargate
- DynamoDB
- SQS
- CloudWatch
- Experience integrating with third‑party APIs and building wrapper / aggregation services
- Familiarity with authentication & authorization (OAuth2, API keys, etc.)
- Good understanding of scalable system design :
- Clear communication and documentation skills
- Preferably onsite in Monterrey (hybrid 3 days/week in office)
Who Will Thrive Here
- Backend engineers who enjoy systems, integrations, and scale :
- Engineers who can work independently and deliver clean, reliable services
- Python developers looking to work on a high-impact core platform
Pay: $53,000.00 - $100,000.00 per month
Ability to commute/relocate:
- Santa María, 64650 Monterrey, N.L.: Reliably commute or planning to relocate before starting work (preferred)
Application Question(s):
- Are you comfortable working for a company that involves sports gambling?
- What is the pay rate you are seeking (monthly)?
Experience :
- Python: 4 years (preferred)
Work Location: Hybrid remote in Santa María, 64650 Monterrey, N.L.