Software Engineer, Infrastructure & Platform
10Alabs · Remote
About this role
**About 10a Labs** 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection help engineering, safety, and security teams stay ahead of evolving threats and deploy AI systems safely. **Software Engineer, Infrastructure & Platform — About the Role** We’re seeking a Software Engineer, Infrastructure & Platform to build the systems and infrastructure that power advanced AI evaluations, including evaluations focused on autonomous model behavior, agentic systems, and loss-of-control risks. This is a hands-on engineering role at the intersection of backend systems, infrastructure, and AI. You’ll build secure and reproducible environments where frontier models can interact with tools, execute code, complete complex tasks, and operate across realistic multi-step workflows. **What You’ll Do** - Design and build sandboxed evaluation environments where AI models can safely execute code, use tools, interact with services, and complete complex tasks. - Build backend services and infrastructure supporting large-scale, repeatable AI and agentic evaluations. - Develop agent scaffolding and evaluation harnesses (tool-use loops, context management, retries, state management, token budgets, and multi-agent/subagent workflows). - Build systems for provisioning and orchestrating isolated environments using Docker, Kubernetes, VMs, and cloud infrastructure. - Design secure approaches to networking, permissions, secrets, credentials, and resource isolation for model-driven environments. - Develop APIs, internal tools, and automation to help researchers and engineers create and run evaluations efficiently. - Improve reliability and reproducibility via logging, observability, snapshotting, debugging tools, and automated testing. - Build systems capable of running thousands of evaluation tasks reliably and capturing artifacts and telemetry. - Partner with analysts, red teamers, and domain experts to translate evaluation ideas into robust technical systems. - Investigate failures across the evaluation stack and distinguish between model limitations and infrastructure/harness/environment failures. **What We’re Looking For** - 3–5+ years of professional software engineering experience (backend, infrastructure, platform, SRE, or distributed systems). - Strong programming skills in **Python** and experience building production-quality software. - Experience designing and operating backend services, APIs, or distributed systems. - Hands-on experience with **Docker**, **Kubernetes**, virtual machines, or similar container/orchestration technologies. - Experience with **AWS**, **GCP**, or similar cloud infrastructure. - Strong understanding of **Linux**, networking, authentication, permissions, and infrastructure security. - Experience with infrastructure-as-code/automation tools such as **Terraform**. - Strong debugging skills across application, infrastructure, and networking layers—especially in agentic loops. - Ability to build systems that are reproducible, observable, scalable, and secure. - Comfort working on ambiguous technical problems where architecture and requirements evolve quickly. - Interest in AI systems, agentic workflows, AI security, or model evaluations (prior professional AI experience helpful but not required). **Nice to Have** - Experience building developer platforms,
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