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Fliff is seeking a Python Team Lead to lead the Integration team, which owns critical integrations across the product platform. The team is responsible for building and maintaining integrations with KYC providers, geolocation services, payment methods, and other external systems essential to product operation and user experience.
In this role, you will provide leadership and management for a team of engineers while also contributing as a hands-on technical leader. You will take full ownership of backend features and improvements from design through implementation, deployment, and production support. Your responsibilities include designing, developing, and maintaining scalable, high-performance backend services using Python and Django; building and maintaining integrations with external systems including KYC, geolocation, and payment partners; working closely with product and engineering teams to scope and deliver new integrations; implementing observability across integration flows with monitoring, logging, and alerting; writing unit and integration tests to ensure system reliability; and supporting production issues through on-call rotations.
The tech stack includes Python, Django, Postgres, Redis, Kafka, and AWS. You will be expected to mentor your team, drive technical excellence, and establish best practices for integration development and testing.
Fliff is a multinational company headquartered in Philadelphia with offices in New York, Austin, and Sofia, Bulgaria. The company is focused on sports gaming and prides itself on being a close-knit, welcoming team that values diversity, creativity, and rewarding work.
REQUIREMENTS:
- Experience leading and managing a team of at least 3 engineers
- At least 5+ years of development experience, with Python as the primary language and 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 the full software development lifecycle, from requirements analysis to deployment and production monitoring
GREAT TO HAVE:
- Experience in early-stage startups and fast-paced engineering environments
- Experience in 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
