Software Engineer, Distributed Systems (Core)

Royper Royco LLC; United States; Remote; USD 180,000 - 320,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Royper Royco LLC is seeking an experienced software engineer to join the core engineering team building a data activation platform. You will optimize distributed systems, scale real-time data syncing, and own multi-region infrastructure.

You will design and operate backend services, implement streaming data pipelines, and collaborate with customers on scaling challenges. Visa sponsorship is available for this remote role in the United States.

Qualifications

• 7+ years of software engineering experience with distributed systems and backend engineering.
• Experience building complex backend systems and scaling through growth.
• Background creating event collection or data streaming services, and experience with queues, Kafka, SQL databases, Kubernetes, and Docker.
• Strong systems design fundamentals and familiarity with Spark, Flink, or Kafka.
• Experience building scalable data sync systems that move large data volumes.
• Strong communication, sound technical judgment, and quick learning ability.

Responsibilities

• Analyze and optimize end-to-end data sync pipelines for speed.
• Design systems for real-time and streaming data sources, including queues and webhooks.
• Identify bottlenecks and architect scalable solutions for growth.
• Build and improve low-latency caching for real-time personalization.
• Operate multi-region, multi-cloud infrastructure with data residency support.
• Own projects from design to delivery and collaborate with customers on scaling challenges.

Skills

Distributed systems

Backend engineering

Data streaming

Message queues

Kafka

SQL databases

Kubernetes

Docker

Communication skills

Learning quickly

Tools

Kafka

Kubernetes

Docker

Spark

Flink

Job description

Join the core engineering team building and scaling distributed systems for a data activation platform. You will improve the systems that move large volumes of customer data, working across performance, reliability, and multi-region infrastructure.

What You’ll Do

• Analyze and optimize the end-to-end syncing pipeline to move customer data more quickly.
• Design systems that support real-time and streaming data sources, including webhooks and queues.
• Identify scaling and reliability bottlenecks, then architect solutions for significant growth.
• Build and improve low-latency caching services for real-time personalization use cases.
• Develop and operate multi-region, multi-cloud infrastructure, including support for data residency needs.
• Own projects from design through delivery and work directly with customers on complex scaling challenges.

What We’re Looking For

• At least 7 years of software engineering experience, with deep hands-on expertise in distributed systems and backend engineering.
• Experience building complex, business-critical backend systems and scaling them through substantial growth.
• Background creating event collection or data streaming services, and experience with message queues, Kafka, SQL databases, Kubernetes, and Docker.
• Strong systems design fundamentals and familiarity with infrastructure-level technologies such as Spark, Flink, or Kafka.
• Experience building scalable data sync systems that process and move large data volumes is valuable.
• Strong communication skills, sound technical judgment, and an ability to learn quickly.

Base salary range: $180,000 to $320,000 annually. Visa sponsorship is available.

Location

Remote, United States.