Quantiphi is seeking a Sr. Software Developer to design and develop robust, scalable, and performant backend systems that power next-generation intelligent applications, specifically for their Agentic platform.
Requirements
- Expertise in backend development using Python (FastAPI).
- Proven experience defining API contracts using OpenAPI, Swagger, gRPC, and Postman, with a strong contract-first development mindset.
- Deep understanding of microservices, event-driven and asynchronous system design, leveraging Kafka, RabbitMQ, or similar message brokers.
- Mastery of asynchronous programming, multiprocessing, and real-time streaming via WebSockets, Kafka streams, or media pipelines.
- Practical experience with cloud-native development (AWS, GCP, Azure), including autoscaling, serverless, API gateways, and managed databases.
- Hands-on experience with API lifecycle management—authentication, versioning, rate limiting, and throttling.
- Proficient in Docker, Git-based version control, and container orchestration workflows.
Responsibilities
- Develop and maintain reliable, versioned APIs with strong backward compatibility for internal and external integrations.
- Deliver scalable microservices and async systems designed for high throughput, low latency, and real-time streaming.
- Set engineering standards across API design, testing, documentation, and CI/CD automation.
- Conducting peer reviews, and ensuring clean architecture adoption.
- Champion telemetry integrations—logging, metrics, and tracing—across services to enhance system observability and debuggability.
- Publish client SDKs, Postman collections, and developer-focused portals to ease service consumption and onboarding.
- Collaborate with AI/ML teams to integrate agent orchestration frameworks and model-serving platforms.
Other
- Strong ownership of developer experience, API quality, and interoperability with legacy systems is critical.
- Mentor engineers, drive architectural clarity, and align backend strategies with product vision.
- Exposure to LLM orchestration (LangChain, LlamaIndex), prompt engineering, and tool-calling frameworks.
- Clinical/life sciences exposure, including FHIR, clinical systems integration, or healthcare data privacy standards.
- Strong UX awareness to influence AI-driven product design and user journeys.
