Founding Full-stack Engineer

Scout AI
Job Overview

logoIntro

Scout AI is a new hiring platform that connects software engineers to opportunities with world-class companies. On Scout, you get a more relevant and growthful interviewing experience, you receive feedback on your performance, and you also get end-to-end support to improve your chances of getting hired.

If you perform well on the Scout interview, you become eligible for opportunities with all companies in the Scout network (only complete the interview once).

This role is with our partner company that is actively hiring:

a stealth startup company.

About The Company

Despite significant investments in cybersecurity, organizations worldwide continue to suffer from cyber breaches. Just in 2023 the number of reported data breaches in the United States grew by 78% despite organizations spending $183 billion to protect their digital services.

We believe that recent advancements in Large Language Models (LLMs) present a unique opportunity to improve the discovery, prioritization, and remediation of vulnerabilities faster than ever before.

Our goal is to empower organizations to stay ahead of cyber criminals and nation-state threats, ensuring a safer digital environment for our community and businesses in the private, public, and government sectors.

Our team has 25+ years of experience in this space and at top tech companies, and we just recently raised our seed round from notable investors.

What You’ll Do

Design and implement an AWS-native framework for complex security testing workflows.Design and implement scalable, serverless infrastructure using AWS services (e.g., Lambda, ECS, DynamoDB).Develop RESTful APIs and microservices.Collaborate with the team to refine AI models for offensive security tasks.Contribute to both front-end and back-end development, ensuring a cohesive user experience.Work directly with customers to gather requirements and iterate on platform features.

Required Experience

4+ years of software engineering experience with world class teams‍Python: Proficient in Python for backend development.‍JavaScript: Proficient in JavaScript, with good experience in React.‍AWS: Extensive experience with AWS, including services like S3, DynamoDB, ECS or Fargate. Ability to design, deploy, and manage scalable applications in a cloud environment.‍IaC: Experience with Terraform or a desire to learn.‍API Development: Proficient in designing and building robust APIs. Experience with backend frameworks such as Django, Flask, or FastAPI.

Bonus Points Experience

Cybersecurity: Experience as a Red Teamer, Penetration Tester, Security Engineer, or Vulnerability Assessment Analyst.AI / LLM: Experience in implementing and deploying LLM agents, prompt engineering and fine-tuning of the models.Big Data: Hands-on experience with large-scale data and processing and analytics platforms such as Databricks, Snowflake, or Splunk.

Compensation

Base salary: $120K – $220KEquity: 0.5% – 2.5% Benefits: Healthcare, PTO, and other perks

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