Threat Investigation Engineer

The role

This role builds, improves, and supports AI-powered systems used in high-stakes safety and threat investigations. You will perform backend development, production troubleshooting, and platform reliability work.

What you will do

• Design, develop, test, and maintain backend services and AI-assisted applications.
• Partner with investigators to translate requirements into engineering solutions.
• Build and integrate AI-powered features, APIs, and services.
• Troubleshoot and resolve production issues like failed workflows and system errors.
• Participate in rotating on-call coverage, including weekends and holidays.
• Improve system reliability and observability through monitoring, logging, and automated testing.
• Investigate complex technical issues across backend services and data pipelines.
• Collaborate with engineering and platform teams to deploy improvements.
• Own engineering tasks end-to-end from design to maintenance.

Required qualifications

• Strong software engineering experience, particularly in Python and backend application development.
• Experience with platform engineering, site reliability engineering (SRE), or production operations.
• Experience building, deploying, debugging, and maintaining production software systems.
• Familiarity with REST APIs, backend services, asynchronous processing, and system integrations.
• Practical experience working with AI-powered applications, LLM APIs, or model-assisted development tools.
• Strong troubleshooting and debugging skills.
• Experience supporting production environments, including monitoring, incident response, and reliability improvements.
• Ability to independently scope technical problems, prioritize work, and deliver maintainable solutions.
• Strong communication skills and experience collaborating with technical and nontechnical stakeholders.
• Sound judgment when handling sensitive information, operational incidents, and time-sensitive technical challenges.
• Availability to participate in scheduled on-call coverage, including weekends and holidays.

Nice to have

• Experience with asynchronous job processing, background workers, task queues, or distributed systems.
• Familiarity with cloud infrastructure and services such as AWS, GCP, or Azure.
• Experience building internal tools, workflow automation, or investigator-facing applications.
• Familiarity with observability tools, structured logging, alerting, and incident management practices.
• Experience working in cybersecurity, trust and safety, threat intelligence, or other high-stakes operational environments.

About the company

10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms.