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5 days ago
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Full time
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kubernetes microservices distributed systems data processing data transformation📋 Description
- Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale’s ecosystem.
- Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration.
- Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency.
- Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns.
- Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads.
- Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers.
🎯 Requirements
- 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms.
- Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases.
- Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments.
- Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs.
- Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas.
🎁 Benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend
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