Senior Java/Python Engineer, Apache Flink

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August 23

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Fliff Inc

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Gaming • Sports • B2C

Fliff Inc. is a social sportsbook platform that transforms sports predictions into a play-for-fun social game. The company provides users with free daily credits to make sports picks and earn rewards without requiring any purchase. Users can win Fliff Coins to progress in leaderboards and earn badges, and Fliff Cash in promotional games, which can be redeemed for prizes. Fliff emphasizes social interaction, offering challenges, loyalty rewards, and referral bonuses while remaining compliant with gaming regulations across the United States, excluding Washington.

11 - 50 employees

🎮 Gaming

⚽ Sports

👥 B2C

💰 Venture Round on 2022-08

📋 Description

• Design, develop, maintain, and optimize batch and real-time streaming data pipelines using Apache Flink (Java DataStream API, windows, state management, joins, triggers) • Collaborate on production deployment, monitor, troubleshoot, and tune streaming applications to ensure performance and stability • Develop scalable microservices for data processing using modern architectural patterns (CQRS, SAGA) (nice to have) • Build and maintain CI/CD pipelines with automation and testing best practices • Deploy and manage cloud infrastructure using AWS, GCP, or other cloud providers • Participate in on-call rotations for production support and incident management • Collaborate closely with cross-functional teams (engineering, product) to translate requirements into technical solutions • Mentor junior engineers and drive automation and design thinking initiatives (nice to have)

🎯 Requirements

• Minimum 5 years of professional software engineering experience with strong expertise in Java • Proficient in Python, at least able to read and write Python code comfortably • Proven experience with stream processing frameworks, especially Apache Flink; production experience is a strong plus • Solid experience with streaming technologies such as Apache Kafka • Strong understanding of both batch and real-time data processing pipelines • Proficiency in SQL with a focus on PostgreSQL • Experience with CI/CD pipelines and automated testing frameworks • Practical knowledge of containerization and orchestration tools: Docker and Kubernetes • Experience deploying and managing infrastructure on any major cloud platform (AWS, GCP, or similar) • Comfortable with on-call rotations and production troubleshooting for streaming systems • Experience with monitoring and alerting tools like Prometheus and Grafana • Hands-on experience with both stateful and stateless stream processing • Familiarity with event-driven architecture is highly desirable

🏖️ Benefits

• Fully remote work environment. • Professional development opportunities in a dynamic, global setting. • A supportive, collaborative, and knowledge-driven workplace. • An engaging and challenging role with the freedom to innovate and develop effective solutions.