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Senior Software Engineer - Security/Infrastructure

Afterquery

Company websiteafterquery.com (Afterquery, opens in new tab)

Base salary $200K  to $350K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

About AfterQuery

AfterQuery is an applied research lab curating data solutions for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it.

Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve. This is a rare opportunity to join a company at a defining moment in AI. Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation. We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.

Why Apply

Massive Opportunity: Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation, and we're not slowing down.

Founding Impact: You will own and architect core infrastructure systems that power our platform from the ground up.

Equity & Growth: Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.

Strong Team: Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.

Overview

As the Senior SWE- Security Infrastructure, you’ll be responsible for protecting a system that handles highly sensitive workflows across AI training, expert networks, and enterprise integrations with leading model labs.

This role is deeply technical. You’ll design and implement the infrastructure that keeps our systems resilient, rather than managing off-the-shelf security tools. We move fast and rely heavily on AI internally. You should be comfortable using LLMs to accelerate debugging, threat analysis, and system design and just as comfortable replacing repetitive work with code. Security here isn’t isolated. When you’re not working on security problems, you’ll be building core systems especially human-in-the-loop platforms and data infrastructure that power how frontier AI models are developed. We work in-person in San Francisco.

Responsibilities

  • Build systems that identify and respond to real security events across our stack

  • Replace manual security workflows with programmatic, scalable solutions

  • Strengthen our cloud and production environments (GCP/AWS, containers, 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

Required Qualifications

  • You’ve built internal tools or systems to solve security problems—not just configured existing products

  • Strong programming ability in Python, Go, or TypeScript

  • Experience working with cloud environments (IAM, networking, 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

Preferred Qualifications

  • 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

Company Benefits (For Eligible Employees):

  • Health Insurance: Medical, Vision, Dental

  • 401(k) with Employer Match

  • Daily Meals: Daily UberEats Stipend

  • Monthly Wellness Stipend

We are an equal opportunity employer committed to providing a workplace free from discrimination and harassment. Employment decisions are made without regard to legally protected characteristics under applicable federal, state, or local law.

We comply with applicable pay transparency requirements and provide compensation ranges based on the position, qualifications, experience, and other relevant factors. Reasonable accommodations are available to qualified individuals with disabilities and for sincerely held religious beliefs, as required by law. This job description is intended to describe the general nature and level of work performed and is not an exhaustive list of all duties, responsibilities, qualifications, or working conditions associated with the position. We reserve the right to modify this job description as business needs change.

Source: Afterquery on Ashby · View original posting (opens in new tab)

This range next to 6 other live Afterquery roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Afterquery roles with the nearest advertised base floor
RolePublished base
Senior Software Engineer - Security/Infrastructure (this listing)$200K - $350K
GTM Operations Lead$190K - $250K
Product Manager$180K - $300K
Corporate Counsel$225K - $250K
Research Program Manager$175K - $191K
Marketing Lead$160K - $220K
People Programs Lead$160K - $230K

Same $100K to $400K scale as every card. All Afterquery roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-05-26
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 200,000 – 350,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.