--- title: 'Software Engineer, Infrastructure & Platform at 10a Labs' canonical: 'https://feeny.ai/job/software-engineer-infrastructure-platform-10a-labs-remote-z8rew4b9a2pr' type: 'job' last_seen: '2026-09-08' --- # Software Engineer, Infrastructure & Platform at 10a Labs - **Company:** 10a Labs - **Location:** Remote - **Work type:** remote - **Posted:** 2026-08-17 - **Last confirmed live:** 2026-09-08 - **Apply:** https://job-boards.greenhouse.io/10alabs/jobs/4331389009 ## Job description 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 enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely. Software Engineer, Infrastructure & Platform ## About the Role We are 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 will build secure and reproducible environments where frontier models can interact with tools, execute code, complete complex tasks, and operate across realistic multi-step workflows, including machine learning research and engineering. The ideal candidate has strong backend and infrastructure fundamentals with attention to security, enjoys debugging complex distributed systems, and is excited to apply those skills to difficult problems in AI safety and evaluation. ## 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, 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 technologies such as 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 analysts, engineers, and subject-matter experts to create and run evaluations efficiently. - Improve the reliability and reproducibility of evaluations through logging, observability, snapshotting, debugging tools, and automated testing. - Build systems capable of running thousands of evaluation tasks reliably and capturing the 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 between model limitations and infrastructure, harness, or environment failures. ## What We're Looking For - 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 or distributed systems. - Hands-on experience with Docker, Kubernetes, virtual machines, or other container/orchestration technologies. - Experience working with GCP, AWS, 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 and comfort diagnosing failures 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 the 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. ## Nice to Have - Experience building developer platforms, CI/CD systems, test infrastructure, sandboxes, or ephemeral compute environments. - Experience with agent frameworks, LLM APIs, tool-calling systems, or AI evaluation infrastructure. - Experience designing secure execution environments for untrusted or semi-trusted code. - Background in SRE, platform engineering, cloud infrastructure, cybersecurity, or developer tooling. - Experience with distributed task execution, queues, workflow orchestration, or large-scale automated testing. - Familiarity with AI safety, adversarial testing, model evaluations, or autonomous-agent systems. - Familiarity with agentic AI fundamentals, including common harnesses, Model Context Protocol, agent benchmarks, and security risks to AI agents. ## Compensation & Benefits - Salary Range: $110K–$160K, depending on experience and location - Bonus: Performance-based annual bonus - Professional Development: Support for conferences, continuing education, or leadership training - Work Environment: Fully remote, U.S.-based - Health Benefits: Comprehensive health, dental, and vision coverage - Time Off: Generous PTO and paid holiday schedule - Retirement: 401(k) plan ## About 10a Labs ## Company Overview - **One-liner**: 10a Labs is an applied research and technology company providing AI security, threat intelligence, and independent safety evaluations for frontier AI models and major technology platforms. - **Entity Type**: Private (Privately Held) - **Headquarters**: Washington, D.C., United States - **Founded**: 2021 - **Founders**: Bobby McKenzie (Founder & CEO) ## Core Business - **Primary industry**: AI Security & Safety, Threat Intelligence, Research Services - **Target customers**: Frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms (B2B, Enterprise) - **Mission or purpose statement**: "The safety and threat-intelligence layer trusted by frontier AI labs... enabling engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely." ## Products & Services - **Model Evaluations & Red Teaming**: Independent safety evaluations for frontier AI models, built for EU AI Act compliance and regulatory readiness. Includes scaled red teaming technology stress-testing generative and agentic AI systems against high-priority threats (CBRNE, Cyber Harms, Data Exfiltration, Model Distillation, Terrorism, Fraud, and more). - **Threat Intelligence (Scout)**: Real-time monitoring for emerging threats to frontier AI systems, with proprietary threat intelligence delivered via API. Covers malicious tooling, novel abuse patterns, unauthorized access pathways, credential resale, jailbreaks, and dark web monitoring. - **Model Defense & Integrity (Spartan)**: Advanced R&D in agentic AI systems, ML and RL model-distillation risks, and multimodal adversarial defenses to strengthen AI security and robustness. - **Data Center Risk Analysis**: Assessment of risks to data centers stemming from geopolitical, regulatory, jurisdictional, and operational challenges. - **Classification System**: A proprietary production ML pipeline with datasets and taxonomies informed by deep subject-matter expertise to detect emerging abuse patterns across text and other modalities. ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: Total headcount of approximately 36 employees (as of mid-2025), with strong growth (+172.2% year-over-year). - **Notable Investors/Partners**: Clients include frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Alumni have gone on to OpenAI, Microsoft, Verizon, and other tech leaders. Talent sourced from organizations like the U.S. Department of State, Columbia SIPA, and the United Nations University. - **Growth Signals**: Rapid headcount growth (+172.2% YoY), 32 active job postings in mid-2025, quarterly job posting growth of +166.7% and yearly growth of +3100.0%, indicating aggressive expansion across multiple departments (Research, Engineering, Threat Investigation, Data, Operations). ## Competitive Advantages - **Specialized Focus**: A rare company fully dedicated to AI safety, security, and threat intelligence for frontier models, serving as an independent, expert safety layer. - **Deep Expertise**: Combines subject-matter expertise (e.g., CBRNE, cyber, terrorism) with proprietary ML pipelines and red teaming technology. - **Trusted Client Base**: Serves the most advanced AI labs and largest tech platforms, providing a unique vantage point on emerging threats. - **Regulatory Readiness**: Built to help clients comply with frameworks like the EU AI Act, positioning them as a critical partner in the evolving regulatory landscape. ## Strategic Focus - **Scaling the Team**: Aggressively hiring across engineering, research, threat investigation, and operations to expand capacity. - **Advancing R&D**: Deepening research into agentic AI risks, model distillation, and multimodal adversarial defenses. - **Global Expansion**: Posting roles in multiple regions (US, UK, Australia, France), indicating international growth. - **Product Development**: Continuing to build out their suite of safety, intelligence, and evaluation products (Scout, Spartan, Classification System). ## Why Work Here - **High-Impact Mission**: Work directly on ensuring the safe deployment of the world's most advanced AI systems, addressing critical security and societal risks. - **Compelling Compensation**: Salary ranges for technical roles are highly competitive (e.g., $255K–$405K + Equity for exceptional engineers, per a recent hiring post). - **Rapid Growth Environment**: Join a company in a strong growth phase (+172% headcount growth), offering significant opportunities for impact and career advancement. - **On-Site Collaborative Culture**: While some roles are remote, many positions are in-office (Washington D.C., San Francisco, London), emphasizing a collaborative, hands-on work environment. - **Strong Talent Network**: Surrounded by colleagues from top institutions and government agencies (State Department, UN, Columbia SIPA, Michigan State), fostering a culture of expertise and mission-driven work. - **Comprehensive Roles**: Opportunities span from hands-on red teaming and software engineering to research and operations, appealing to a wide range of skills and career paths. ## Sources 1. [10alabs.com](https://10alabs.com/) 2. [Built In - 10a Labs](https://builtin.com/company/10a-labs) 3. [LinkedIn - 10a Labs](https://www.linkedin.com/company/10a-labs) 4. [Greenhouse - 10a Labs Jobs](https://job-boards.greenhouse.io/10alabs) ## Other roles at 10a Labs - [Biosecurity & AI Safety Investigator](https://feeny.ai/job/biosecurity-ai-safety-investigator-10a-labs-remote-x8k7wrgxhsp6) - [Cybersecurity Engineer](https://feeny.ai/job/cybersecurity-engineer-10a-labs-remote-6tw6ebfp1kh6) - [Finance Manager - Accounting & FP&A](https://feeny.ai/job/finance-manager-accounting-fp-a-10a-labs-remote-ha9bssj2nhaa) - [Junior Cyber Investigator](https://feeny.ai/job/junior-cyber-investigator-10a-labs-washington-tznv7eqs48aj) — Washington, DC - [Senior Cyber Investigator](https://feeny.ai/job/senior-cyber-investigator-10a-labs-washington-a46kb0vdtmz9) — Washington, DC - [Red Teaming Fellowship](https://feeny.ai/job/red-teaming-fellowship-10a-labs-washington-7rdm2an2hcxd) — Washington, DC - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-10a-labs-remote-46rkedcxxrca) - [AI Red Teamer, Cyber](https://feeny.ai/job/ai-red-teamer-cyber-10a-labs-washington-qhn95a7zsf7h) — Washington, DC - [Engineering Fellowship](https://feeny.ai/job/engineering-fellowship-10a-labs-washington-wbmbw76nj2h5) — Washington, DC - [Threat Investigator - APAC](https://feeny.ai/job/threat-investigator-apac-10a-labs-sydney-hv40zapq3bsx) — Sydney, Australia