Back End Developer

Few&Few is working with one of the most ambitious AI startups in New York, which has recently got its Series A, and they’re quickly becoming one of the leaders in the intersection of Generative AI and vision. Replace clunky PDFs, fragmented data, and manual analysis with multi-agent AI systems that read, reason, and cite financial insights.

They are building out their NYC office and are looking Backend Go developer, where you will be leading and managing a small team of frontend engineers, fostering growth and career development.

The Role

As a Senior BE Engineer you will;

• Work in the development and maintenance of microservices, primarily in Go.
• Refactoring and removing functionalities from existing productive monolith.
• Build APIs and integrate using gRPC and Kafka, with a focus on scalable communication between services.
• Work on Kafka message-driven systems to ensure smooth data streams between microservices.
• Contribute to the development of new services that could use gRPC or Kafka for sync and async communication.
• Collaborate with the data team to integrate and manage MongoDB, Postgres and Vector DBs for data storage and retrieval.
• Deploy, monitor, and maintain services on Google Cloud Platform (GCP).
• Collaborate closely with AI, Frontend and Product teams to integrate new features into the microservices ecosystem.
• Help with the implementation of industry standards and good practices

Who You Are

• 5+ years of experience as a Backend Engineer in production environments.
• 3+ years of experience with object-oriented, compiled languages — ideally Golang — in production systems.
• Strong understanding of asynchronous programming, multithreading, and concurrency/parallelism.
• Solid experience building gRPC services and working within microservices architectures.
• Familiar with designing and maintaining RESTful APIs.
• Proficient in relational databases, particularly PostgreSQL.
• Experienced with Kafka or similar message brokers.
• Hands-on exposure to CI/CD pipelines, containerization with Docker, and Kubernetes for microservice orchestration.