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职位Replit

Offensive Security Engineer

Replit

Offensive Security Engineer

Replit

Foster City, CA (Hybrid) In office M,W,F

·

Hybrid

·

Full-time

·

1mo ago

必备技能

Python

TypeScript

Docker

Kubernetes

Go

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.

ABOUT THE ROLE:

We are looking for a senior-level Offensive Security Engineer to serve as a high-impact "adversary-in-residence" for Replit’s cloud-native platform. At Replit, security isn't just about perimeter defense; it’s about the integrity of the code that powers millions of environments.

In this role, you will lead advanced "whitebox" penetration testing engagements—diving deep into our source code to identify systemic weaknesses, logic flaws, and architectural gaps. You will simulate sophisticated adversary tactics across our web applications, APIs, and containerized infrastructure, ensuring that our AI-integrated development environment remains the most secure place for the world’s software to live.

WHAT YOU'LL DO:

  • Lead Whitebox Penetration Testing: Execute end-to-end testing with full access to source code. You will perform manual code-level inspections to uncover complex logic flaws and authorization bypasses that automated tools miss.

  • Simulate Adversarial Attacks: Conduct Red and Purple team engagements across our cloud-native stack (K8s, Docker), simulating how a sophisticated actor might move from a code-level exploit to infrastructure-wide impact.

  • Secure AI-Enabled Systems: Perform offensive testing on LLM-backed applications and agentic AI workflows, focusing on prompt injection, data leakage, and abuse of AI-driven components.

  • Vulnerability Research & Chaining: Identify, exploit, and demonstrate realistic business risk by chaining vulnerabilities—from the application layer down through our internal trust boundaries.

  • Build Offensive Tooling: Contribute to internal security frameworks and build AI-assisted testing tools to automate the discovery of common bug classes while maintaining deep manual testing depth.

  • Partner with Engineering: Work closely with product teams and security architects to explain root causes, influence design guardrails, and triage high-priority findings from our Bug Bounty (Hacker One) program.

REQUIRED SKILLS & EXPERIENCE:

  • Experience: 7+ years of hands-on experience in penetration testing, offensive security, or vulnerability research.

  • Code Fluency: You are a practitioner of whitebox testing. You can navigate large codebases and have a deep understanding of modern application architectures and secure coding pitfalls.

  • Cloud-Native Context: You are comfortable in a cloud-native environment. While your focus is the code, you understand how it interacts with Kubernetes, Docker, and hybrid cloud infrastructure.

  • Engineering Skills: Strong proficiency in Go, Python, or TypeScript. You should be capable of writing custom scripts, payloads, and proof-of-concept exploits.

  • Adversarial Mindset: You enjoy the "hunt" and have a proven track record of manual exploitation beyond automated scanners.

  • Communicator: You can translate a complex code-level exploit into a clear narrative that helps engineering teams understand risk and prioritize fixes.

BONUS QUALIFICATIONS:

  • Public recognition on platforms like Hacker One or Bugcrowd.

  • Experience building or extending AI-based security testing tools.

  • Background in incident response or detection engineering from the defensive side.

  • Published CVEs or security research in the cloud-native or AI space.

This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

Full-Time Employee Benefits Include:

💰 Competitive Salary & Equity

💹 401(k) Program with a 4% match

⚕️ Health, Dental, Vision and Life Insurance

🩼 Short Term and Long Term Disability

🚼 Paid Parental, Medical, Caregiver Leave

🚗 Commuter Benefits

📱 Monthly Wellness Stipend

🧑‍💻 Autonomous Work Environment

🖥 In Office Set-Up Reimbursement

🏝 Flexible Time Off (FTO) + Holidays

🚀 Quarterly Team Gatherings

☕ In Office Amenities

Want to learn more about what we are up to?

  • Meet the Replit Agent https://www.youtube.com/watch?v=IYiVPrxY8-Y

  • Replit: Make an app for that https://www.youtube.com/watch?v=4zd9hzngFwY

  • Replit Blog https://blog.replit.com/

  • Amjad TED Talk https://youtu.be/kCudFI4tcpg?si=l4ViCejV_f2RZkDi

Interviewing + Culture at Replit

  • Operating Principles https://blog.replit.com/operating-principles

  • Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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关于Replit

Replit

Replit

Series B

Replit is an online integrated development environment (IDE) that allows users to code, collaborate, and deploy applications directly in the browser. The platform supports multiple programming languages and provides AI-powered coding assistance.

201-500

员工数

San Francisco

总部位置

$1.16B

企业估值

评价

4.0

25条评价

工作生活平衡

3.2

薪酬

2.8

企业文化

4.1

职业发展

3.4

管理层

2.9

72%

推荐给朋友

优点

Flexible work arrangements and hours

Supportive team and colleagues

Learning and professional development opportunities

缺点

Long hours and heavy workload during deadlines

Management and organizational issues

Limited career advancement opportunities

薪资范围

20个数据点

Mid/L4

Mid/L4 · Economist

1份报告

$150,650

年薪总额

基本工资

$131,000

股票

-

奖金

-

$150,650

$150,650

面试经验

1次面试

难度

3.0

/ 5

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Virtual Interview

5

Offer

常见问题

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Past Experience