About the Role
Join the core engineering team building and scaling the distributed systems behind a data activation platform. You will improve the systems that move customer data reliably and quickly, while helping shape infrastructure for a global customer base.
What You'll Do
Analyze and optimize the data syncing pipeline to improve throughput and reduce sync times.
Design systems for real-time and streaming syncs from sources such as webhooks and queues.
Identify scaling and reliability bottlenecks, then architect solutions for substantial growth.
Build and improve low-latency services that support real-time data access and personalization.
Extend multi-region and multi-cloud infrastructure to support global availability and data residency needs.
Own projects end to end and work with customers on complex scaling challenges.
What We're Looking For
At least 7 years of software engineering experience, with deep hands-on experience building large-scale distributed backend systems.
Experience designing and operating event collection or data streaming services that support critical systems.
Working knowledge of message queues, Kafka, SQL databases, Kubernetes, and Docker.
Experience scaling systems through major increases in usage or data volume; familiarity with data sync engines moving terabytes of data is valuable.
Understanding of infrastructure-level systems and technologies such as Spark, Flink, and Kafka.
Strong systems design fundamentals, communication skills, and ability to take ownership in a fast-moving environment.
Strong computer science fundamentals and a backend engineering background.
Compensation & Benefits
Base salary range: $180,000 to $320,000 annually. Visa sponsorship is available.
Location
Remote, United States.