Software Engineer – Infrastructure & Platform

10a Labs

Software Engineer building secure, scalable infrastructure for 10a Labs’ AI evaluations. Developing sandboxes, backend services, and agentic evaluation systems for frontier-model safety research.

Posted 8/18/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $110,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing backend services and infrastructure for AI evaluations, with a strong focus on security, scalability, and reproducibility. Proficient in utilizing container orchestration technologies and cloud platforms to create efficient evaluation environments.

Highest-signal resume keywords

Python ProgrammingDocker ContainerizationKubernetes OrchestrationAWS Cloud InfrastructureInfrastructure-as-Code (Terraform)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend DevelopmentAPI DesignDistributed Systems EngineeringDebugging SkillsLinux SystemsNetworking SecurityAutomation ToolsObservability TechniquesState ManagementMulti-Agent Workflows

Soft Skills

Problem-SolvingCollaborationAdaptability

Tools & Technologies

TerraformAWSGCPDockerKubernetesVirtual Machines

Industry Keywords

AI SystemsAgentic WorkflowsModel EvaluationsInfrastructure SecurityEvaluation Reliability

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesLinuxPythonTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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