Software Development Engineer III - Full Stack Technologies

Opportunity :

As an Software Development Engineer III (Full Stack) at Hiver, you will work end-to-end across frontend, backend, and AI systems to craft the next generation of collaborative email, automation, and AI-powered customer service workflows.

You will own major product surfaces, architect scalable systems, and bring intelligent experiences to life in the UI while ensuring reliability for 5M+ emails processed daily across thousands of active users.

Key Responsibilities :Full-Stack Product Engineering :

• Build intuitive, performant UIs in React/Next.js for email collaboration, analytics, and AI-assisted workflows.

• Ship features end-to-end across frontend, 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.

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.

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.

• Strong proficiency in React/Next.js + TypeScript.

• Solid backend expertise in Go/Java/Python.

• Deep understanding of distributed systems, concurrency, performance, and resiliency.

• Experience with SQL plus familiarity with NoSQL/caches.

• Exposure to production model serving (embeddings, RAG, inference APIs).

• Strong fundamentals in cloud infra (AWS preferred), containers, and CI/CD.

Nice to Have :