As a Backend Engineer at Zeromatter, you'll architect the high-performance backend systems that power our revolutionary simulation platform. You'll design and implement scalable APIs, data pipelines, and distributed systems that handle the massive computational demands of photorealistic simulations across thousands of concurrent instances. This role offers the unique opportunity to build the technical foundation that enables next-generation autonomous systems to train and validate at unprecedented scale, combining deep backend expertise with cutting-edge distributed systems architecture.

Responsibilities

Design and implement high-throughput backend systems serving simulation data to internal and external systems.
Build and scale data pipelines for processing petabyte-scale volumes of simulation output.
Architect and optimize database systems for high-concurrency workloads.
Implement sophisticated caching strategies to minimize latency and maximize throughput.
Design fault-tolerant systems with strong observability and monitoring.
Develop authentication and authorization systems for a multi-tenant platform.
Collaborate with customer teams to ensure backend APIs meet integration requirements.
Design load balancing and resource allocation strategies for efficient scheduling.
Architect and operate distributed systems across multiple deployments and cloud environments.
Identify and address performance bottlenecks under heavy load.

Qualifications

Bachelor's degree in a relevant field (e.g. computer science) or equivalent working experience.
Strong experience with compiled languages, with Rust strongly preferred (C++, Go, C also acceptable).
Proven expertise in database design and optimization (PostgreSQL, MySQL, MongoDB).
Deep understanding of distributed systems architecture and microservices patterns.
Experience building and scaling backend APIs handling millions of requests.
Experience with backend observability tools and performance profiling.
1+ years of Kubernetes experience in production environments.
Bonus: Background in high-performance computing or scientific computing.
Bonus: Experience with multi-cloud backend architectures.

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