Join us in Securing Tomorrow!

The Role

We are seeking a Backend Distributed Systems Engineer with strong computer science foundations and hands-on experience in building large-scale, microservice-based architectures. You will be responsible for designing and implementing reliable, scalable, and distributed backend systems for data-intensive applications.

In this role, you will be building systems for our geospatialplatform that process terabytes of data and generate billions of featuresusing ML models with a very high frequency, powering customer-facing products that directly impact business value. The ideal candidate thrives in solving hard system problems, leverages AI-assisted tools for productivity, and has a strong eagerness to learn and adapt to emerging technologies.

How you'll make an impact:

• • Design and build resilient, high-scale microservices in production environments
  • Develop and optimize large-scale data processing pipelines with Spark and modern data platform technologies
  • Build and scale systems that process terabytes of geospatial data and create billions of features for downstream use
  • Collaborate with cross-functional teams (Data, Platform, ML, Product) to deliver end-to-end solutions
  • Leverage AI-powered developer tools to boost productivity, automate workflows, and accelerate development cycles
  • Stay ahead of emerging technologies and contribute to architectural improvements

What we're looking for:

• • 2–5 years of experience in backend engineering, distributed systems, or data platforms
  • Strong computer science fundamentals: data structures, algorithms, OS, concurrency, networking
  • Proven experience building and operating resilient, high-scale microservices with container orchestration (Docker, Kubernetes)
  • Proficiency in at least one language: Python, Scala, or Java
  • Hands-on experience with modern data stack: Spark/Ray, SQL/NoSQL databases, caching, messaging systems (Kafka/Pulsar)
  • Experience with cloud environments (AWS/Azure/GCP) and CI/CD pipelines
  • Familiarity with observability tools (logging, metrics, tracing) and test-driven development (TDD)
  • Strong problem-solving mindset with a bias for action and continuous learning

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.

We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.