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# Staff Software Engineer, Distributed Systems

- **Company:** Premier Global Links
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000.0 - $320,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Cloud Computing, Databases, Data Synchronization, Distributed Systems, Fault Tolerance, Github, Performance Tuning, Queueing Systems, Software Engineering, SQL Databases, Data Processing, Apache Spark, Multi-Cloud, Reliability of Systems, Backend, Event Driven Architecture, Kubernetes, Information Technology, Apache Flink, Real Time Data, Apache Kafka, Build Tools, Video Streaming, Data Pipelines, Docker
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5e1b2e81c15f1f19

## About the Role

The ideal candidate is a hands-on backend engineer with strong distributed systems fundamentals, experience scaling mission-critical services, and a track record of delivering high-impact projects in fast-growing technology companies., * 7+ years of professional software engineering experience, including substantial backend and distributed systems work.

 * Staff-level engineering capability, demonstrated through technical ownership, system design, and high-impact contributions.
 * Experience working at a high-growth technology company or startup through significant stages of growth.
 * Strong understanding of distributed systems architecture, scalability, fault tolerance, and performance optimization.
 * Proven experience designing and scaling production systems that handle substantial data volumes or high throughput.
 * Experience building event-driven systems, data pipelines, or synchronization services using technologies such as Kafka and message queues.
 * Familiarity with SQL databases, Docker, Kubernetes, and cloud-based production environments.
 * Experience troubleshooting complex backend systems and improving system reliability.
 * Strong communication skills and the ability to collaborate across engineering teams.
 * Ability to work remotely within U.S. or Canadian time zones.

Preferred Qualifications

 * Experience building data synchronization engines or processing terabytes of data per day.
 * Knowledge of streaming technologies and frameworks such as Kafka, Spark, or Flink.
 * Experience with multi-cloud, multi-region, and globally distributed infrastructure.
 * Experience developing low-latency APIs, caching layers, or real-time personalization systems.
 * A degree in Computer Science or a related field.
 * An active GitHub profile, technical portfolio, or relevant open-source contributions.

## Description

* Design, build, and scale distributed backend systems for high-volume data synchronization.
 * Improve data processing throughput, synchronization speed, system reliability, and performance.
 * Develop event-driven and streaming architectures using technologies such as Kafka and message queues.
 * Identify and resolve bottlenecks across distributed services, databases, and cloud infrastructure.
 * Build systems capable of supporting significant growth in data volume, traffic, and customer demand.
 * Contribute to multi-cloud and multi-region infrastructure, including data residency requirements.
 * Design low-latency services and caching systems for real-time data access and personalization.
 * Collaborate with engineering teams and customers to solve complex scalability challenges.
 * Own technical projects from architecture and implementation through deployment and optimization.
 * Establish engineering practices that improve observability, reliability, and maintainability.