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Fliff is a rewards-driven entertainment platform reimagining social gaming and sports betting through a freemium model. The company operates across sports, casino, predictions, and collectibles, with offices in Philadelphia, New York, Austin, and Sofia.
The Integration team owns critical backend integrations across the product, including KYC providers, geolocation services, payment methods, and other external systems essential to product operation and user experience.
In this Senior Python Engineer role, you will take full ownership of backend features and improvements from design through implementation, deployment, and production support. You'll design, develop, and maintain scalable, high-performance backend services using Python and Django. Key responsibilities include building and maintaining integrations with external systems (KYC, geolocation, payment partners), working closely with product and engineering teams to scope and deliver new integrations, implementing observability across integration flows with monitoring/logging/alerting, writing unit and integration tests to ensure reliability and prevent regressions, and supporting production issues through on-call rotations.
This is an ideal role for an engineer who thrives on owning critical infrastructure, enjoys working with third-party APIs and payment systems, and wants to impact a fast-growing consumer platform in the gaming and sports entertainment space.
REQUIREMENTS:
- At least 5+ years of development experience with Python as primary language
- Strong experience in API and system integrations
- Proven experience integrating third-party APIs with deep understanding of webhooks, callbacks, idempotency, and failure handling (payments and KYC integrations are a strong plus)
- Experience with observability tools to monitor and troubleshoot production integrations
- Strong fundamentals in algorithms, data structures, and concurrency
- Experience in architecture design of highly loaded and scalable solutions
- Strong understanding of full software development lifecycle from requirements analysis to deployment and production monitoring
- Willingness to participate in on-call rotations
NICE TO HAVE:
- Experience in early-stage startups and fast-paced engineering environments
- Experience writing automated tests, measuring test coverage, and defining test automation strategies
- Experience with observability tools such as Datadog, CloudWatch, Grafana
- Experience in sports/betting industries
