Java Backend Engineer (Subscriptions & Payments)

The engineers will contribute to Fire TV In-App Purchase (IAP) capabilities and build services responsible for subscriptions, payments, entitlements, and transaction processing. These systems operate at significant scale and need to remain highly available, fault-tolerant, and performant during major traffic spikes, including live sporting events and large content releases.

Responsibilities

• Design and build scalable backend services using Java and Spring Boot.
• Develop high-performance REST APIs and microservices.
• Build backend capabilities for subscriptions, payments, and user entitlements.
• Implement Fire TV IAP purchase and subscription workflows.
• Integrate with app stores, payment providers, and external platform APIs.
• Build workflows covering purchases, renewals, cancellations, refunds, and subscription-state changes.
• Design reliable, idempotent transaction-processing systems.
• Handle retries, failures, reconciliation, and eventual consistency across distributed services.
• Build event-driven and asynchronous workflows using messaging systems.
• Design systems that can handle high throughput and sudden traffic spikes.
• Optimize service latency, throughput, scalability, and infrastructure utilization.
• Improve observability through logging, metrics, tracing, and alerting.
• Troubleshoot complex production issues across distributed services.
• Participate in architecture reviews, code reviews, and technical-design discussions.

Requirements

• Strong programming experience with Java.
• Strong experience with Spring Boot / Spring ecosystem.
• Strong experience designing RESTful APIs and microservices.
• Solid understanding of distributed systems, concurrency, and asynchronous processing.
• Experience with SQL databases such as PostgreSQL/MySQL.
• Experience with NoSQL databases is desirable.
• Experience with caching technologies such as Redis.
• Experience with Kafka or similar event-streaming/messaging platforms.
• Understanding of transaction management, idempotency, and data consistency.
• Experience with AWS or similar cloud platforms.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Strong production-debugging and performance-optimization skills.

Experience

• 4-7 years of backend engineering experience.
• Strong hands-on Java and microservices development.
• Ability to independently design and deliver backend services.
• Experience working on scalable and distributed production systems.

Benefits

• Best-in-class salary: We hire strong talent and compensate accordingly.
• Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
• Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
• High-impact work: Build AI-first systems and products used at scale by global clients.