Senior Software Engineer, Platform — Connectivity
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.
What You’ll Do
- 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.
Ideal Experience
- 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.
