Design and scale high-performance backend systems that power real-time analytics and retrieval-augmented generation (RAG) pipelines, building distributed services that deliver sub-500ms response times under high load, enabling next-generation AI and data-driven applications.
Requirements
- 8+ years of backend development experience, with a focus on high-performance, data-intensive systems
- 5+ years deploying and operating applications on AWS, Azure, or Google Cloud
- Expert proficiency in Go and Python for backend development
- Deep experience with event-driven architectures and real-time streaming, particularly Apache Kafka
- Mastery of distributed system patterns (CQRS, Event Sourcing, Saga, Circuit Breaker, Bulkhead)
- Strong command of performance optimization—caching layers, database tuning, and system-level profiling
- Proficiency with containerization (Docker, Kubernetes) and infrastructure as code
Responsibilities
- Architect distributed systems
- Design and implement event-driven backends using advanced patterns such as CQRS, Event Sourcing, Saga, and Circuit Breakers.
- Build at scale: Develop and maintain web services in Go and Python, leveraging cloud-native infrastructure for resiliency and elasticity.
- Optimize for performance: Ensure APIs and data pipelines meet strict SLAs through advanced performance profiling, caching, and query optimization.
- Stream real-time data: Engineer high-throughput pipelines using Apache Kafka and other event streaming platforms.
- Deliver reliability: Establish strong observability, testing, and monitoring practices to guarantee consistency, uptime, and fault tolerance.
Other
- Full-time role
- Proven track record building production systems that sustain high concurrency and throughput
- Hands-on experience with analytics platforms (e.g., Databricks) for large-scale data processing and ML workflows
- Familiarity with vector databases, search systems, and advanced retrieval-optimized data structures
- This role reports to a senior leader (manager, director, or executive) and does not include direct reports.
