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The Senior Infrastructure Software Engineer will architect and scale multi-cloud infrastructure, focusing on compliance, observability, and developer efficiency for enterprise AI deployments.

Lead and execute the infrastructure roadmap for enterprise AI deployments. Design and operate scalable, secure, high-availability platforms, set SLAs/SLOs, manage and mentor an infrastructure engineering team, build backend services for AI-driven applications, improve developer velocity through tooling and automation, and partner with product, security, and customer teams to ensure production readiness and operational excellence.

The Technical Lead Manager will build and optimize Scale's ML training and inference platform, collaborating with ML teams to advance model and data curation technologies.

As a Technical Program Manager, you will lead enterprise customer engagements, managing the delivery of technical projects, mitigating risks, and ensuring strategic alignment between teams while tracking program metrics.

Lead end-to-end delivery of the Scale Generative AI Platform by aligning cross-functional teams, translating infrastructure complexity into executable roadmaps, mitigating technical risks, defining SLOs, and driving company-wide adoption of scalable, secure model-serving and orchestration capabilities.

The Staff Forward Deployed AI Engineer will integrate custom AI solutions for enterprise clients, leading technical designs, deployments, and collaborations. Responsible for AI agent development, prompt engineering, and addressing complex challenges while ensuring successful AI system adoption.

Lead and deliver company- and business-unit-wide programs for Platform Engineering and Security. Set strategic goals, define KPIs, manage cross-functional resources, improve processes, and produce reporting to inform decisions. Ensure security and compliance alignment with industry standards while collaborating with stakeholders and influencing executive leadership.

Lead the design and development of core data storage, streaming, and indexing platforms while collaborating with cross-functional teams to deliver new features and improve processes.

The role involves owning product areas, working on backend, frontend, and with LLMs/ML models, delivering high-quality experiments, and engaging customers.

The Principal Solutions Engineer drives AI adoption through technical strategy and cross-functional collaboration, influencing product direction and mentoring peers.