Founding Full-stack Engineer
Scout AIJob Overview
Join a stealth startup as a Founding Full-stack Engineer and play a pivotal role in shaping the future of cybersecurity. This position offers a unique opportunity to work with a team of experts with over 25 years of experience in the field and at top tech companies. The company has recently secured seed funding from notable investors, aiming to leverage advancements in Large Language Models (LLMs) to enhance cybersecurity measures.
Responsibilities
- Design and Implement Frameworks: Develop an AWS-native framework for complex security testing workflows.
- Infrastructure Development: Create scalable, serverless infrastructure using AWS services such as Lambda, ECS, and DynamoDB.
- API and Microservices Development: Build RESTful APIs and microservices to support the platform's functionality.
- AI Model Collaboration: Work with the team to refine AI models for offensive security tasks.
- Full-stack Development: Contribute to both front-end and back-end development to ensure a cohesive user experience.
- Customer Interaction: Engage directly with customers to gather requirements and iterate on platform features.
Required Experience
- Software Engineering: 4+ years of experience with world-class teams.
- Python and JavaScript: Proficiency in Python for backend development and JavaScript, particularly with React, for front-end tasks.
- AWS Expertise: Extensive experience with AWS services, including S3, DynamoDB, ECS, or Fargate, and the ability to design, deploy, and manage scalable applications in a cloud environment.
- Infrastructure as Code (IaC): Experience with Terraform or a willingness to learn.
- API Development: Proficiency in designing and building robust APIs, with experience in backend frameworks such as Django, Flask, or FastAPI.
Bonus Points
- Cybersecurity Experience: Background as a Red Teamer, Penetration Tester, Security Engineer, or Vulnerability Assessment Analyst.
- AI/LLM Experience: Experience in implementing and deploying LLM agents, prompt engineering, and fine-tuning models.
- Big Data Experience: Hands-on experience with large-scale data processing and analytics platforms such as Databricks, Snowflake, or Splunk.
Compensation and Benefits
- Salary: €120,000 - €220,000 per year
- Equity: 0.5% - 2.5%
- Benefits: Healthcare, Paid Time Off (PTO), and other perks
About the Company
Despite significant investments in cybersecurity, organizations worldwide continue to suffer from cyber breaches. 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. This company aims to empower organizations to stay ahead of cybercriminals and nation-state threats, ensuring a safer digital environment for businesses in the private, public, and government sectors.
Location
This position is based in San Francisco, California, United States, with a hybrid work environment.
Benefits Extracted with AI
- Healthcare
- Paid Time Off (PTO)
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