Senior Software Engineer - Security/Infrastructure
About The Position
AfterQuery is an applied research lab curating data solutions for foundation model development. The Senior Software Engineer - Security/Infrastructure will protect systems handling sensitive workflows across AI training, expert networks, and enterprise integrations with leading model labs. This is a deeply technical role focused on designing and implementing resilient infrastructure rather than managing off-the-shelf security tools. The engineer will use LLMs to accelerate debugging, threat analysis, and system design, and will replace repetitive work with code. Security work is integrated with broader engineering, including development of human-in-the-loop platforms and data infrastructure that support frontier AI model development. The team works in person in San Francisco.
Requirements
- Built internal tools or systems to solve security problems, rather than only configuring existing products.
- Strong programming ability in Python, Go, or TypeScript.
- Experience working with cloud environments, including IAM, networking, and containers.
- Ability to identify vulnerabilities directly in code and system design.
- Experience creating or maintaining signal-based monitoring and alerting systems.
- Comfortable owning production issues when they arise.
- Able to move fluidly between security work and general engineering.
- 2–7 years building software or security systems.
Nice To Haves
- Background in fast-scaling startups or high-output engineering teams.
- Exposure to AI systems, data pipelines, or model evaluation workflows.
- Familiarity with offensive security techniques.
- Experience building tools that other engineers depend on.
- Evidence of building and shipping systems from zero to production.
Responsibilities
- Build systems that identify and respond to real security events across the stack.
- Replace manual security workflows with programmatic, scalable solutions.
- Strengthen cloud and production environments, including GCP/AWS, containers, and networking.
- Design and enforce access control systems across internal teams, experts, and customers.
- Integrate security checks directly into development workflows without slowing shipping speed.
- Own incident handling systems and processes from detection through resolution.
- Secure surfaces unique to AI systems, including data flows and model interaction layers.
- Develop human-in-the-loop systems used in AI training and evaluation.
- Contribute to core infrastructure and internal tooling used across the company.
- Ship features across the stack that directly impact customers and model performance.
Benefits
- Medical, vision, and dental health insurance.
- 401(k) with employer match.
- Daily UberEats stipend.
- Monthly wellness stipend.
- Competitive salary and meaningful equity.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
