Found.dev
Role Highlights
Languages used
Key skills
Computer Science
CICD
Code Reviews
Data Processing
Cloud Infrastructure
API Design
AI
Security
Operations
Logging
Optimization
Serverless
SIEM
EDR
Automation
Database
Machine Learning
Research
Physics
Biology
Interpretability
Multimodal
Tools, Libraries and Frameworks
Terraform
HTTP
Description
The role involves building and scaling security analytics infrastructure within the Detection Platform team. Responsibilities include architecting data pipelines to process security telemetry and developing detection systems. The engineer will create prototypes for security tooling and analytics capabilities while collaborating with infrastructure teams. Additionally, the position requires mentoring team members and contributing to the growth of the security department. The work focuses on integrating AI to transform security operations and incident response.
Required Qualifications and Skills
Candidates must possess at least seven years of experience in software engineering with a focus on security, infrastructure, or data pipelines. Proficiency in Python, infrastructure-as-code tools, and data processing is required. A bachelor's degree or an equivalent combination of education, training, and experience is the minimum educational requirement. Applicants should demonstrate a track record of building internal developer tools and leading technical projects.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Anthropic
Description
Anthropic is an AI safety and research company focused on crafting AI systems that are reliable, interpretable, and steerable, ensuring they remain safe and beneficial for users and society. With an interdisciplinary team experienced in machine learning, physics, policy, business, and product development, Anthropic is dedicated to the mission of beneficial AI. The company emphasizes collaborative big science research, leveraging a unified team approach to focus on large-scale research efforts aimed at advancing long-term goals of creating trustworthy AI systems.
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