Software Engineer, Infrastructure & Platform

6 minutes ago
Full-time
Mid Level
Software Development
10A Labs

10A Labs

An applied research and technology company specializing in AI security.

Internet Software & Services

Description

  • Design and build sandboxed evaluation environments for safe code execution, tool use, and complex task completion.
  • Build backend services and infrastructure for large-scale, repeatable AI and agentic evaluations.
  • Develop agent scaffolding and evaluation harnesses for tool-use loops, context management, retries, state management, token budgets, and multi-agent workflows.
  • Build provisioning and orchestration systems for isolated environments using Docker, Kubernetes, VMs, and cloud infrastructure.
  • Design secure networking, permissions, secrets, credentials, and resource isolation for model-driven environments.
  • Develop APIs, internal tools, and automation for researchers, engineers, and subject-matter experts.
  • Improve evaluation reliability and reproducibility through logging, observability, snapshotting, debugging tools, and automated testing.
  • Build systems that can run thousands of evaluation tasks reliably and capture artifacts and telemetry.
  • Partner with analysts, red teamers, and domain experts to turn evaluation ideas into technical systems.
  • Investigate failures across the evaluation stack and separate model issues from infrastructure, harness, or environment problems.

Requirements

  • 3–5+ years of professional software engineering experience in backend, infrastructure, platform, SRE, or distributed systems roles.
  • 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 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 architecture and requirements may change 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 (nice to have).
  • Experience with agent frameworks, LLM APIs, tool-calling systems, or AI evaluation infrastructure (nice to have).
  • Experience designing secure execution environments for untrusted or semi-trusted code (nice to have).
  • Background in SRE, platform engineering, cloud infrastructure, cybersecurity, or developer tooling (nice to have).
  • Experience with distributed task execution, queues, workflow orchestration, or large-scale automated testing (nice to have).
  • Familiarity with AI safety, adversarial testing, model evaluations, or autonomous-agent systems (nice to have).
  • Familiarity with agentic AI fundamentals, including common harnesses, Model Context Protocol, agent benchmarks, and security risks to AI agents (nice to have).

Benefits

  • $110K–$160K salary range, depending on experience and location.
  • Performance-based annual bonus.
  • Support for conferences, continuing education, or leadership training.
  • Fully remote, U.S.-based work environment.
  • Comprehensive health, dental, and vision coverage.
  • Generous PTO and paid holiday schedule.
  • 401(k) plan.

Interested in this position?

Apply directly on the company website

Apply Now

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