Quick overview
Job description
About the Role
Join the core systems team building and improving the distributed infrastructure behind a data activation platform. You will help move large volumes of customer data reliably and efficiently across a global, multi-cloud and multi-region environment.
What You'll Do
Analyze and optimize the data syncing pipeline to improve throughput and reduce sync times.
Build toward real-time syncing capabilities, including support for streaming sources such as webhooks and queues.
Identify scalability and reliability bottlenecks, then design systems to support continued growth.
Develop and operate low-latency data services for real-time personalization use cases.
Extend multi-region infrastructure to support global availability and data residency needs.
Own projects end to end, collaborate directly with customers on scaling challenges, and help shape team priorities.
What We're Looking For
At least 7 years of software engineering experience, including hands-on work with distributed systems and backend services.
Experience building and scaling event collection, data streaming, or other business-critical systems through substantial growth.
Working knowledge of message queues, Kafka, SQL databases, Kubernetes, and Docker.
Strong systems design fundamentals and an understanding of how large-scale distributed systems behave.
Experience working close to the infrastructure layer; familiarity with technologies such as Spark or Flink is valuable.
Clear communication, strong ownership, and the ability to learn quickly and work effectively in a high-growth environment.
Compensation & Benefits
Base salary range: $180,000 to $320,000 USD annually. Visa sponsorship is available.
Location
Remote, United States.
Haystack's AI agent can fill in and submit this application for you. How AI auto apply works