Senior / Staff Backend Engineer (Data Platform & APIs)

Company: JV Recruiter

Location: United States (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-05-01

About this role

About the Role

We are building a high-scale data platform that powers real-time systems, APIs, and product features across the business. This team owns the ingestion, processing, and serving of large-scale telemetry and event data.

This is a high-bar role focused on backend engineering and distributed systems. It is best suited for engineers who have built and operated real-time, data-intensive systems powering production applications.

Responsibilities

  • Design and build scalable backend services and APIs for production applications
  • Develop and optimize data ingestion systems (real-time and batch) from external sources and devices
  • Work with event-driven and streaming architectures to process high-volume data
  • Build systems that transform raw data into application-ready datasets
  • Own services end-to-end, including performance, scalability, and reliability

Candidate Expectations

We are looking for engineers who have built and operated high-scale backend systems in production environments.

Strong candidates will have:

  • Experience building **distributed systems processing large volumes of data**
  • Experience designing and owning **APIs used in production applications**
  • Hands-on work with **real-time or near real-time data systems**
  • A strong foundation in backend engineering with clear ownership of services

Qualifications

  • 5–10+ years of experience as a software or backend engineer
  • Strong programming skills in Java, Python, or Node.js
  • Experience with distributed systems and backend service architecture
  • Experience with data ingestion, streaming, or data platform development
  • Experience working in cloud environments such as GCP or AWS

Preferred Qualifications

  • Experience with Kafka, Pub/Sub, Kinesis, or similar streaming technologies
  • Experience with BigQuery, Snowflake, or similar data systems
  • Experience working with telemetry, IoT, or event-driven architectures
  • Background at companies operating high-scale, real-time sy...

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