Staff Software Engineer, Distributed Systems

New

Premier Global LinksData integration

United States, U.S. or Canadian time zonesFull-TimeStaff

SalaryAnnual salary range: $180,000–$320,000.

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Job Details

Have 7+ years of professional software engineering experience, including substantial backend and distributed systems work.
Demonstrate Staff-level engineering capability through technical ownership, system design, and high-impact contributions.
Bring experience working at a high-growth technology company or startup through significant stages of growth.
Have a strong understanding of distributed systems architecture, scalability, fault tolerance, and performance optimization.
Have designed and scaled production systems handling substantial data volumes or high throughput.
Have experience building event-driven systems, data pipelines, or synchronization services using technologies such as Kafka and message queues.
Be familiar with SQL databases, Docker, Kubernetes, and cloud-based production environments.
Have experience troubleshooting complex backend systems and improving system reliability.
Be able to work remotely within U.S. or Canadian time zones.
Preferred: experience with data synchronization engines, streaming technologies such as Kafka, Spark, or Flink, and multi-cloud or multi-region infrastructure.
Preferred: experience with low-latency APIs, caching layers, or real-time personalization systems.
Preferred: a degree in Computer Science or a related field.

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 that support 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 scalability challenges.
Own technical projects from architecture and implementation through deployment and optimization.
Establish engineering practices that improve observability, reliability, and maintainability.

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