SDE 3 - Backend

Key Responsibilities

• What you will do?
• Backend, Distributed Systems & AI
• Scale backend systems to handle rapidly growing traffic and AI workloads.
• Build low-latency inference and retrieval endpoints, caching layers, and model-serving pipelines.
• Improve reliability, resiliency, and performance across monolith and microservices environments.
• Work with Kafka/RabbitMQ to build high-volume, event-driven data flows.
• Partner with ML/AI teams to deploy embeddings, rerankers, RAG systems, and evaluation workflows.
• Product Engineering
• Ship features end-to-end across backend APIs, domain models, and data pipelines.
• Integrate AI suggestions, copilots, and retrieval-based workflows seamlessly into the product experience.
• Collaborate closely with design & product to deliver polished, consumer-grade UX.
• Data, Security & Observability
• Implement secure, compliant data handling for structured/unstructured customer data.
• Own observability across the stack — tracing, metrics, dashboards, feature flags, SLOs.
• Lead debugging of complex issues across frontend, backend, infra, and model pipelines.
• Drive postmortems, root-cause analysis, and process improvements.
• What we’re looking for?
• Must Have:
• 5+ years building and scaling production systems end-to-end.
• Solid backend expertise in Go/Java/Python/RoR.
• Deep understanding of distributed systems, concurrency, performance, and resiliency.
• Experience with SQL plus familiarity with NoSQL/caches.
• Exposure to production model serving (embeddings, inference APIs).
• Strong fundamentals in cloud infra (AWS preferred), containers, and CI/CD.
• Nice to Have:
• Prior experience building and shipping AI systems/features into production.