Python Engineer
Role details
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Tech stack
Job description
maintenance, and continuous improvement Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django Architect distributed systems to support millions of users with low latency and high availability Collaborate with product, frontend, and Dev Ops teams to ship reliable features on aggressive timelines Lead and mentor junior engineers through code reviews, architectural discussions, and knowledge sharing Own critical backend infrastructure components: APIs, data pipelines, message brokers (Kafka), caching Optimize systems for throughput, latency, fault tolerance, and resilience under heavy load Implement robust testing strategies: unit, integration, and performance tests Drive continuous improvement of development processes and system observability (monitoring, logging) Participate in on-call rotations and support production issues as needed What We're Looking For 5+ years of professional Python backend development experience with a, proven
Requirements
track record of ownership and successful delivery, Solid Django experience, with asynchronous programming skills (asyncio) Production experience with Apache Kafka Strong experience with distributed systems (microservices or similar architecture) Experience deploying and managing containerized applications (Docker); Kubernetes experience is a plus Familiarity with any cloud provider (AWS preferred) Proficient with SQL databases, especially Postgre SQL; No SQL is a plus Experience with CI/CD pipelines and test automation Knowledge of monitoring and logging tools (Prometheus, Grafana, or equivalent) Strong problem-solving skills and comfort doing code reviews Prior experience working with systems supporting 1 M+ users is a strong plus Comfortable working in Agile teams Strong sense of responsibility and commitment to shipping high-quality software Willingness to participate in on-call rotations Nice to Have Exposure to event sourcing or CQRS patterns Familiarity with frontend technologies (React) Knowledge of big data tools (Flink, Ni Fi) Exposure to infrastructure as code tools like Terraform Practical knowledge of containerization and orchestration tools like Docker and Kubernetes Experience in sports/betting industries Benefits Fully remote work environment Professional development opportunities in a dynamic, integral setting A supportive, collaborative, and knowledge-driven workplace An engaging and challenging role with the freedom to innovate and develop effective solutions Fliff is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. #J-18808-Ljbffr