SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Fliff is seeking a Senior Python Engineer to join the Integration team, which owns critical integrations across the product. 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 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. Your responsibilities include building and maintaining integrations with external systems (KYC, geolocation, payment partners, and other third-party services), working closely with product and engineering teams to scope and deliver new integrations, and implementing observability across integration flows including monitoring, logging, and alerting.
You'll write unit and integration tests to ensure system reliability, prevent regressions, and improve overall test coverage and testing practices. You'll also support production issues and participate in on-call rotations.
REQUIREMENTS:
- 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
NICE 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
