Senior Real-Time Distributed Systems Engineer (Remote)

True; United States; Remote; USD 180,000 - 320,000; Full time

Benefits offered by this job

Equity included

Visa sponsorship

Job summary

The core systems team is hiring a senior backend engineer to help build and optimize the distributed infrastructure behind a data activation platform. You will move large volumes of customer data reliably and quickly, enabling global deployments and real-time use cases.

Responsibilities include designing streaming systems, reducing sync times, identifying bottlenecks, and owning end-to-end delivery—from design to customer-facing scaling challenges—with equity included and visa sponsorship

Qualifications

• 7+ years of software engineering experience focused on backend/distributed systems.
• Experience scaling complex, business-critical backend systems.
• Strong systems design fundamentals for large-scale distributed environments.
• Experience with event streaming or data pipelines (Kafka) and relational databases.
• Familiarity with Spark, Flink, Kubernetes, and Docker.

Responsibilities

• Optimize the end-to-end syncing process to improve throughput and reduce sync times.
• Design systems for streaming data and real-time syncs from sources such as webhooks and queues.
• Identify scaling and reliability bottlenecks, then architect solutions for continued growth.
• Build and improve low-latency caching and personalization systems backed by data warehouses.
• Extend multi-region and multi-cloud infrastructure to support global deployments and data residency needs.
• Own projects from design through delivery and work directly with customers on complex scaling challenges.

Skills

Backend systems

Distributed systems

Large-scale systems

Kafka

SQL databases

Kubernetes

Docker

Spark

Flink

Tools

Kafka

Spark

Flink

Kubernetes

Docker

SQL databases

Job description

The core systems team is hiring a senior backend engineer to help build and optimize the distributed infrastructure behind a data activation platform. You will move large volumes of customer data reliably and quickly, enabling global deployments and real-time use cases.

Responsibilities include designing streaming systems, reducing sync times, identifying bottlenecks, and owning end-to-end delivery—from design to customer-facing scaling challenges—with equity included and visa sponsorship