资深威胁研究员
Staff Threat Researcher
Zscaler (NASDAQ: ZS) 加速数字化转型,使客户能够更加敏捷、高效、稳健和安全。Zscaler 零信任交换平台通过在任何位置安全连接用户、设备和应用程序,保护数千名客户免受网络攻击和数据丢失。该基于 SASE 的零信任交换平台分布在全球 200 多个公共数据中心和数千个边缘私有站点,是全球最大的内联云安全平台。
我们相信未来的工作是“人类 + AI”,正在构建一个以 AI 为核心的企业,通过机器智能放大人类潜能,解决世界上最困难的安全挑战。我们以深入的客户需求为导向,致力于使命、成果以及彼此之间。我们通过三种核心行为将这些承诺付诸实践:以结果和影响建立信任、拥有与协作,以及持续反馈的挑战文化。准备好在引领人工智能时代安全变革的公司中产生影响吗?加入我们吧,Zscaler。
职位
我们正在寻找一名资深威胁研究员加入我们的团队。这是一个远程职位,向威胁研究团队的威胁研究经理汇报。作为我们的资深威胁研究员,你将成为在端点、云和身份环境中的对手战术方面的高级技术专家。你将应用正式的研究方法来剖析和复制复杂的网络攻击,回答技术如何工作以及我们如何最好地检测它们的关键问题。通过将你的深入技术发现转化为实际的攻击自动化和可扩展的检测建议,你将在理论研究和运营防御之间架起桥梁。在这个职位上,你的专业知识将直接增强我们的防御能力,指导我们的检测工程优先事项,为更广泛的产品战略做出贡献,并让我们客户始终领先于不断演变的规避战术。
你将做什么(职位期望)
- 在一些指导下确定研究方向并持续优化研究项目,以对抗者的思维分析新兴攻击技术、客户影响和检测数据源,覆盖至少一个操作系统(Windows、macOS、Linux)以及主要的云/SaaS 提供商,如 AWS、Microsoft 365 和 Okta
- 深入研究特定威胁的技术组件和检测视角,全面理解对手如何运作
查看英文原文
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.
We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.
Role
We are looking for a Staff Threat Researcher to join our team. This is a remote role, reporting to the Manager Threat Research in the Threat Research Team. As our Staff Threat Researcher, you will serve as a highly technical subject matter expert on adversary tradecraft across endpoint, cloud, and identity environments. You will apply formal research methodologies to dissect and replicate complex cyber attacks, answering the critical questions of exactly how techniques work and how we can best detect them. By transforming your deep technical discoveries into practical attack automations and scalable detection recommendations, you will bridge the gap between theoretical research and operational defense. In this role, your expertise will directly strengthen our defensive capabilities, inform our detection engineering priorities, contribute to broader product strategy, and keep our customers a step ahead of evolving evasion tactics.
What you’ll do (Role Expectations)
- Scope (with some guidance) and continuously refine research initiatives, applying an adversarial mindset to analyze emerging attack techniques, customer impact, and detection data sources across at least one operating system (Windows, macOS, Linux) and major Cloud/SaaS providers like AWS, Microsoft 365, and Okta
- Dive deep into the technical components and detection optics underlying specific threats to fully comprehend how adversaries control and manipulate variations of a given technique
- Leverage your endpoint and cloud expertise to engineer automated attack code, write test code to validate threat coverage, and develop proofs of concept for new detections
- Collaborate across Zscaler to develop new detection methodologies and engineering recommendations, working closely with detection engineers, intelligence analysts, and threat hunters to prioritize and refine deliverables
- Document and present your research findings and operational deliverables in an accessible, actionable manner to internal and external audiences, while serving as a technical mentor for colleagues pursuing research
Who You Are (Success Profile)
- You thrive in ambiguity and are comfortable building the path as you walk it, viewing dynamic environments as an opportunity to construct impactful solutions from scratch.
- You act like an owner with a mission-driven bias for action, navigating seamlessly between high-level strategy and hands-on execution while operating with uncompromised integrity.
- You are a dedicated problem-solver energized by tackling complex challenges, knowing that solving the toughest problems creates the greatest organizational impact.
- You are a high-trust collaborator who values team success over individual accolades, actively giving and receiving candid feedback to build trust and elevate team performance.
- You embody a growth mindset as a continuous learner, actively seeking feedback to hone your skills, support your peers, and deliver purposeful results.
What We’re Looking for (Minimum Qualifications)
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
- Experience working with commercial Endpoint Detection & Response (EDR) and/or Cloud-based detection platforms
- Software development experience in at least one scripting language (e.g. PowerShell, Python, etc.) and one compiled language (e.g. C, C++, Go, etc.)
- Security experience in at least one cloud service provider (e.g. AWS, GCP, Azure) and Cloud architectures
- Established record of public, community engagement (conference talks, blog posts, or webinars, etc.)
- Experience managing code with git/GitHub
What Will Make You Stand Out (Preferred Qualifications)
- Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency
- An established record of public community engagement, such as conference talks, technical blog posts, or webinars
#LI-KM9 #LI-Remote
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
Base Pay Range
$122,500—$175,000 USD
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler's hybrid working model and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.