The Role

The platform powers a global SaaS ecosystem, and the backend services driving it are yours to own. The technical challenge isn’t just writing code; it’s designing for high-scale reliability and distributed complexity where every architectural tradeoff impacts long-term system evolution. You will be responsible for the full lifecycle of backend features, moving beyond simple task execution to true ownership of system resilience.

About the Product

The platform is an AI-powered B2B SaaS ecosystem used by some of the world’s largest sports media rights owners and broadcasters. It automates the generation, management, and distribution of sports video highlights in real time. The product solves a critical industry challenge: delivering high-quality highlight content within seconds of live events. The system processes large-scale streams of live data and video signals while maintaining speed, reliability, and brand consistency across global distribution channels. This is a high-scale, high-impact environment where performance, scalability, and operational reliability are essential.

Technology Stack: The backend is built on a modern typed foundation, primarily C# or Java, following SOLID principles and clean architecture patterns. The infrastructure is cloud-native (Azure), utilizing SQL databases optimized for high-performance indexing and complex transactions. Data orchestration is handled through messaging and pub-sub systems like Kafka or Azure Service Bus, with everything deployed via Docker and managed through mature CI/CD pipelines.

What You’ll Be Doing

Own the end-to-end lifecycle of backend services, from initial technical design and schema optimization to deployment and production monitoring
Architect resilient distributed systems by implementing microservices that handle high-scale SaaS traffic without compromising on latency or reliability
Define and implement robust API contracts, ensuring strict validation, backward compatibility, and seamless integration for frontend consumers
Drive engineering excellence by refactoring legacy services and introducing modern design patterns that improve system maintainability
Establish observability standards by integrating logs, metrics, and traces into new features to ensure rapid troubleshooting of production issues
Lead technical migrations or integrations with analytical platforms like Snowflake to expand the product’s data capabilities

What We Expect

Must-have

Proven experience in backend development using C# or Java within a microservices environment
Deep understanding of distributed systems, including experience with messaging brokers like Kafka or Azure Service Bus
Strong SQL proficiency, specifically in schema design, query optimization, and transaction management
Experience designing and maintaining REST APIs at scale
A background in cloud-based environments (Azure/AWS) and containerization (Docker/K8s)

Nice to have

Direct experience with Entity Framework or similar ORM frameworks
Hands-on experience with Snowflake or other analytical data platforms
Familiarity with React or modern frontend concepts to better bridge the API gap

Why This Role Is Worth Your Time

True Ownership Culture: You aren’t just a ticket-closer; you own the service from the first line of code to its behavior in production, giving you direct influence over the system’s architecture
Complex Problem Solving: This isn’t a CRUD-heavy role—you’ll be tackling distributed systems challenges, high-throughput messaging, and large-scale data synchronization
Engineering Maturity: Work in an environment that prioritizes clean code, SOLID principles, and automated CI/CD over “quick and dirty” fixes