Principal Security Research Engineer
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Responsibilities
- Design, implement, and maintain internal tooling for acquiring and parsing recaptured underground data.
- Build and deploy cloud infrastructure using Infrastructure as Code technologies.
- Build and deploy automated CI/CD pipelines to test and deploy tooling and infrastructure.
- Collaborate directly with the research team to support the targeting and collection of new data sources.
- Be the subject matter expert on Security Research Engineering and the data acquisition process.
- Leverage modern AI and LLM-based tooling to streamline development and collection workflows.
- Constantly and independently work to identify improvements and automation opportunities in the recaptured data workflow and ETL pipelines.
- Participate in security research including investigation of threat actors, malware, and other critical research in support of SpyCloud's priorities.
- Mentor junior security researchers and engineers including providing code review and guidance on efficient code writing and professional development
Requirements
- 6+ years experience in a Senior role within cybersecurity engineering.
- 6+ years of professional software development experience, preferably in the cybersecurity industry
- Experience using AI/ML in development workflows.
- Experience implementing AI/ML in data processing applications.
- Highly skilled with Python. Golang proficiency a plus.
- Experience building internal tooling and deploying using Infrastructure as Code technologies (we use Terraform and Ansible).
- Bachelor's degree, or equivalent experience, in Math, Science, Engineering, or Business fields.
- Self-directed with the ability to identify and deliver on tasks without needing direct supervision.
- Critical thinker that is comfortable supporting collaborative problem solving in a team environment.
- Excellent communication skills.
- Highly self-motivated, empathetic, curious, and flexible.
- Experience working with large enterprises in delivery of security analytics products.
- Experience in acquiring and processing malware-exfiltrated data
- Experience in using data science to analyze datasets for the purposes of detecting fraud or cyberthreats.
- Experience with databases (relational or NoSQL) and designing efficient database architecture.
- SpyCloud is not sponsoring visas at this time.
- For applicants residing in California, please click here to read SpyCloud's CCPA Notice.
- For applicants residing in the UK, please click here to read SpyCloud's Employee Privacy Notice.
- U.S.-Based Benefits + Perks (for Full Time Employees):
- 401(k) with Employer Contribution
- Health, Vision, and Dental Insurance
- Health Savings Account (HSA) available with Employer Contribution
- Employer Paid Life, Short-term, and Long-term Disability Insurance
- Generous PTO Plan and 16 paid holidays per year
- U.K.-Based Benefits + Perks (for Full Time Employees):
- Retirement Savings Plan with Employer Contribution
- Employer Provided Private Health Insurance and Healthcare Cashplan
- Employer Paid Life Insurance and Income Replacement
- Generous Holiday Plan and 14 paid holidays per year
- About SpyCloud:
Benefits
Additional Information
SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud's solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you're driven to align your career with a fantastic mission, look no further! The ideal candidate possesses a strong understanding of building internal security tooling and data pipelines using public cloud infrastructure, leveraging AI technologies. This role will be within SpyCloud Labs, SpyCloud's in-house Security Research team, and focus on building automation and other internal tooling to facilitate the collection of recaptured third-party breach and malware data. This is a full-time remote role supporting a hybrid workforce.
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