Software Engineer, Security

st-labs

New York (NY)

On-site

USD 190,000 - 250,000

Full time

4 days ago
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Benefits offered by this job

Competitive compensation
Equity
Benefits package

Job summary

STLabs in New York City is seeking an experienced security-focused engineer to own detection, response, and remediation across cloud, code, and AI agents. You will secure AWS and Kubernetes infrastructure, implement automated remediation, and triage alerts with engineering final control.

Join a team building an AI-first platform with strong emphasis on secure storage, credential rotation, and supply chain security.

Qualifications

  • Minimum 4 years of experience in security, infrastructure, or software engineering.
  • Hands-on experience securing cloud native systems on AWS.
  • You write production code and would rather build a small system that works than buy a large one nobody watches.

Responsibilities

  • Detect and respond to security issues across AWS, Kubernetes, and infrastructure.
  • Automate vulnerability remediation from advisory to tested fix in hours.
  • Coordinate with engineers to patch vulnerabilities and triage alerts from AI agents.
  • Ensure secure storage, use, and rotation of credentials customers trust us with.
  • Manage supply chain security across dependencies, container images, and CI/CD.

Skills

Security engineering
AWS security
Production coding
Incident response

Job description

STLabs is an AI service management platform that resolves employee requests end-to-end, grounded in a living model of the enterprise. This matters because we're able to resolve requests with full context - the people, systems, services, and policies that define how an organization actually runs. Requests that used to take days of back-and-forth resolve in minutes, right where employees already work.

About the Role

Our platform connects to our customers' most sensitive systems and acts on their behalf, so security is core to the product. You'll work alongside our infrastructure and platform team and own how we detect, respond to, and fix security issues across our cloud, our code, and our AI agents.

  • Detection and response across our AWS and Kubernetes infrastructure
  • Automated vulnerability remediation, from new advisory to tested fix in hours, not weeks
  • AI agents that triage security alerts and patch vulnerabilities, with engineers making the final call
  • Secure storage, use, and rotation of the credentials our customers trust us with
  • Supply chain security across dependencies, container images, and CI/CD
What We're Looking For
  • Minimum 4 years of experience in security, infrastructure, or software engineering
  • Deep hands-on experience securing cloud native systems on AWS
  • You write production code and would rather build a small system that works than buy a large one nobody watches
What Makes Candidates Stand Out
  • Experience building detection pipelines or leading real incident response
  • Understanding of the security risks of LLM-powered systems, like prompt injection and over-permissioned agents
  • Daily use of AI coding agents, and opinions on how to use them safely
  • Having built a security function from scratch
What We Offer

Build the security foundation of an AI-first enterprise platform

The opportunity to take ownership of critical systems that scale to millions of users

A culture that values craftsmanship, autonomy, and technical excellence

  • Competitive compensation, equity, and benefits package

Work from our Midtown, Manhattan office, where you'll be side-by-side with the founding team in a supportive, collaborative setting. Our team works on-site five days a week. The location is easy to reach with plenty of public transportation options.

As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind.

Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

The reasonably estimated yearly salary for this role is: $190,000-$250,000 USD.

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