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Senior Software Engineer, Connectivity

United States, San Francisco 216200.00 - 270250.00 USD / Year · Job Posted February 20, 2026
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Job Description

The Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale’s data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior. We’re looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation.

Job Responsibility

  • 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
  • Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments
  • Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence
  • Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience

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

Nice to have

  • Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs
  • Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas

What we offer

  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • equity based compensation
  • commuter stipend

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