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# Senior / Staff Backend Engineer, Data Platform

- **Company:** JV RECRUITING SOLUTIONS, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Cloud Computing, Information Engineering, Data Infrastructure, Distributed Systems, Python (Programming Language), Node.Js, Cloud Services, Software Engineering, Data Streaming, Cloud Platform System, Data Ingestion, Backend, Event Driven Architecture, Kubernetes, Low Latency, Real Time Data, Apache Kafka, Data Management, Machine Learning Operations, Api Design, Software Coding, Stream Processing, Microservices
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0f80f549dd70c3a3

## About the Role

Do you have experience in Scalable systems?, Do you have a Bachelor's degree?, * 8+ years of software engineering experience

 * Strong backend engineering fundamentals with experience in distributed systems
 * Experience building real-time ingestion or streaming systems in production
 * Hands-on coding experience in Java, Python, or Node.js
 * Experience with Kafka, Pub/Sub, Kinesis, or similar event streaming technologies
 * Experience with cloud infrastructure (GCP preferred, AWS also relevant)
 * Experience building APIs, backend services, or platform infrastructure at scale
 * Strong ownership mentality and ability to drive projects end-to-end
 * Experience working in product-driven or customer-facing environments

Nice to Have

 * IoT, telemetry, mobility, fintech, infrastructure, or large-scale consumer product experience
 * Experience with Kubernetes, microservices, or event-driven systems
 * Exposure to ML infrastructure, classification systems, or high-throughput data platforms

What We're Looking For

We value engineers who:

 * Have built systems, not just pipelines
 * Understand how data moves through distributed systems in production
 * Can operate in ambiguous, fast-moving environments
 * Bring strong communication and technical leadership skills
 * Have experience at companies known for strong engineering culture and scale, * Bachelor's (Required)

## Description

We're partnering with a high-growth technology company building large-scale, cloud-native data infrastructure powering real-time products and internal platforms used across the business.

This is not a traditional analytics or BI-focused data engineering role.

The team is looking for backend engineers who have built distributed systems around high-volume data ingestion, streaming, telemetry, and scalable APIs in production environments.

What You'll Work On

 * Build and scale distributed backend systems handling real-time and near real-time data
 * Design ingestion frameworks and event-driven architectures processing large-scale telemetry and platform data
 * Develop APIs and backend services that expose data to product and engineering teams
 * Improve reliability, latency, observability, and scalability across critical platform infrastructure
 * Partner closely with product, infrastructure, and data platform teams on 0*1 initiatives
 * Contribute to cloud-native architecture and platform modernization efforts


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