Software Engineer – Infrastructure & Platform

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10a Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

10a Labs is an applied research and technology company specializing in AI security. It delivers intelligence collection, investigative research, and analysis for AI unicorns, Fortune 10 companies, and U. S. tech leaders. The company provides services that empower security teams and technology leaders to stay ahead of evolving threats, drive innovation, and protect their brands. Their work includes stress-testing AI models against threats, developing real-time threat detection systems, and monitoring cyber threats to enhance AI safety and security throughout the product development lifecycle.

📋 Description

• 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, including tool-use loops, context management, retries, state management, token budgets, and multi-agent or 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 that allow researchers, engineers, and subject-matter experts to create and run evaluations efficiently • Improve evaluation reliability and reproducibility through logging, observability, snapshotting, debugging tools, and automated testing • Build systems capable of running thousands of evaluation tasks reliably and capturing artifacts and telemetry needed to understand model behavior • Partner with analysts, red teamers, and domain experts to translate complex evaluation ideas into robust technical systems • Investigate failures across the evaluation stack and distinguish model limitations from infrastructure, harness, or environment failures

🎯 Requirements

• 3–5+ years of professional software engineering experience, particularly in backend, infrastructure, platform, SRE, or distributed systems engineering • 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 other container/orchestration technologies • Experience working with AWS, GCP, or similar cloud infrastructure • Strong understanding of Linux systems, networking, authentication, permissions, and infrastructure security • Experience with infrastructure-as-code or 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 may evolve quickly • Interest in AI systems, agentic workflows, AI security, or model evaluations; prior professional AI experience is helpful but not required

🏖️ Benefits

• Performance-based annual bonus • Support for conferences, continuing education, or leadership training • Fully remote work environment • Comprehensive health, dental, and vision coverage • Generous PTO and paid holiday schedule • 401(k) plan