Skip to main content
AfterQuery logo

Senior Software Engineer - Security/Infrastructure

AfterQuery

San Francisco, CAFull-time$200–350K/yrPosted 2 days agoStill listed 2 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

You apply on the employer's site, with no Olive account needed.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
$200–350K/yr
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

AfterQuery seeks a Senior Software Engineer focused on security infrastructure to protect sensitive workflows across AI training, expert networks, and enterprise integrations. The engineer will build security systems and core infrastructure, rather than merely configure off-the-shelf tools, and may also develop human-in-the-loop platforms and data infrastructure. The team works in person in San Francisco and uses AI internally to accelerate engineering work.

Skills & qualifications

RequiredNice to have

Skills

Security Tool Development, requiredPython, requiredGo, requiredTypeScript, requiredCloud Environments, requiredIAM, requiredNetworking, requiredContainers, requiredVulnerability Identification, requiredMonitoring and Alerting, requiredProduction Issue Ownership, requiredSecurity Engineering, requiredGeneral Engineering, requiredStartup Experience, nice to haveAI Systems, nice to haveData Pipelines, nice to haveModel Evaluation, nice to haveOffensive Security, nice to haveEngineering Tool Development, nice to haveZero-to-Production Delivery, nice to have

Qualifications

2+ Years Building Software or Security Systems, required

Benefits

Medical Insurance
Vision Insurance
Dental Insurance
401(k) Match

Full job description

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.

How this job compares

Set against the 39,789 open Software Engineer jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This posting$200–350K/yr
  • California median$164–243K/yr6,967 salary ranges
  • US median$133–215K/yr31,848 salary ranges

This range's midpoint, $275K, is 34% above the California median midpoint ($205K) — in the top quarter of Software Engineer salary ranges in California.

Openings
Olive Jobs lists 8,567 open Software Engineer jobs in California and 39,789 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 2 years of experience — less than three in four Software Engineer postings that state a minimum ask for (median 5 years, across 32,746 postings).
Education
12,439 of the 39,789 open Software Engineer jobs (31%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Prepare for this role

You've read the whole posting — now see how you match it.