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.
What You'll Do:
- 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.
Nice to Have:
- 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.
Base Salary Range: $158,000 - $205,000
The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.