Back to all positions

[Remote] Software Engineer, Infrastructure & Platform

Remote Full-time Now Hiring

Note: The job is a remote job and is open to candidates in USA. 10a Labs provides safety and threat-intelligence services for advanced AI systems through adversarial red teaming, model evaluations, and intelligence collection. The company is seeking a Software Engineer, Infrastructure & Platform to build secure, reproducible backend systems, infrastructure, sandboxes, and evaluation harnesses for large-scale AI and agentic evaluations. The role will also focus on observability, reliability, orchestration, and diagnosing failures across model and infrastructure layers.

Responsibilities

  • 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 researchers, 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

Skills

  • * 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 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
  • * 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

Benefits

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

Company Overview

  • 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. It was founded in 2025, and is headquartered in , with a workforce of 11-50 employees. Its website is https://10alabs.com/.