Founding Engineer
Full-time
San Francisco, CA | Remote (US)
What You’ll Do
Join a team of ~5 engineers building a solution to empower organizations across private, public, and government sectors to proactively identify and remediate cyber security vulnerabilities to protect themselves from e-crime and nation-state cyber attacks. You'll have autonomy on features you build and direct influence over product direction and strategy. You'll focus predominantly on the backend and contribute to projects at the intersection of AI and cybersecurity to automate traditional human-driven security analyst workflows. A few more specific examples are below:
- Design and implement an AWS-native framework for complex proactive and offensive security analysis workflows.
- Design and implement scalable, serverless infrastructure using AWS services (e.g., Lambda, ECS, DynamoDB).
- Develop RESTful APIs that allow customers too seamlessly interact with our data.
- Build workflows to utilize and refine AI models for offensive security tasks using tools like LangChain, AutoGen, LlamaIndex, etc.
- While an emphasis will be placed on back-end development, you'll directly coordindate with frontend engineers to build a cohesive user experience.
- Interact directly with customers to gather requirements and iterate on features.
Required Experience
Skills that we think are necessary to succeed in the role:
- 4+ years of software engineering experience
- Python: Proficient in Python for backend development.
- AWS: Extensive experience with AWS, including services like DynamoDB, ECS, ECR, Lambda, Fargate, and S3.
- 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
Skills that are "nice to have" but not a requirement:
- Cybersecurity: Experience as a Red Teamer, Penetration Tester, Security Engineer, or Vulnerability Assessment Analyst.
- AI / LLM: Experience with LLMs, RAG, prompt engineering, or fine-tuning models.
- Big Data: Hands-on experience with large-scale data and processing and analytics platforms such as Databricks, Snowflake, or Splunk.
- JavaScript: Proficient in JavaScript, with good experience in React.
Compensation
The base salary range for this position in the U.S. is $175,000 - $225,000 per year + equity + benefits.
Ready to apply?