Senior Backend Engineer (Agentic Data Platform)

2 months ago

Remote, United StatesSenior

Responsibilities

Develop and maintain high-performance, fault-tolerant distributed backend services.
Build and optimize large-scale genomic and health data processing pipelines using Apache Spark and DuckDB.
Design data structures, storage, and indexing strategies across PostgreSQL, Qdrant, and Redis.
Own asynchronous event processing and workflow orchestration using AWS SQS, RabbitMQ, and BullMQ.
Improve latency, throughput, and reliability through parallel execution, caching, and efficient data access.
Build guardrail and quality-assurance layers that ground AI responses in genomic and scientific evidence.
Partner with bioinformatics experts and product/design specialists on scientifically accurate and user-facing behavior.

5+ years of experience building and operating production backend systems at scale.
Expert-level TypeScript experience and the ability to own production services end to end.
Strong distributed-systems fundamentals and practical experience with systems that operate at scale.
Hands-on experience with large-scale data processing frameworks such as Apache Spark and very large datasets.
Deep familiarity with OLTP and OLAP data systems, including PostgreSQL and DuckDB.
Experience with distributed event-driven systems.
Ability to learn and work deeply in unfamiliar domains such as genomics.
Preferred qualifications include Rust, functional programming with Scala or similar, Python for data processing, AI model training or fine-tuning, multi-agent AI orchestration, LLM APIs, vector databases, RAG pipelines, LLM observability tools, Temporal, genomics or bioinformatics, health data systems, and high-growth startup experience.

Fully remote role open to candidates in time zones from UTC−5 to UTC+3.
Opportunity to work on a category-defining product at the intersection of genomics, health data, and AI.

11-50 employees