Overview
On Site
130k - 150k
Full Time
Skills
Innovation
Cyber Security
Attention To Detail
Cloud Computing
Amazon SageMaker
Google Cloud
Google Cloud Platform
Vertex
Microsoft Azure
Data Security
Privacy
Incident Management
High Performance Computing
Workflow
Python
DevSecOps
Artificial Intelligence
Machine Learning (ML)
Storage
CISSP
Amazon Web Services
Cloud Security
Scripting
API
Collaboration
Health Insurance
SAP BASIS
Job Details
Job Description Our client is a cutting-edge tech company at the forefront of AI innovation, seeking a skilled Cybersecurity Engineer to protect its advanced platforms and infrastructure. You'll play a critical role in designing and implementing security protocols that safeguard sensitive data and systems. This is a hybrid, full-time position in Boston.
This is a unique opportunity to work alongside top-tier engineers and researchers in a fast-paced, high-impact environment. Ideal candidates are proactive, detail-oriented, and passionate about building secure, scalable solutions. Join a mission-driven team where your expertise will directly contribute to the future of AI technology.
Required Skills & Experience
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
This is a unique opportunity to work alongside top-tier engineers and researchers in a fast-paced, high-impact environment. Ideal candidates are proactive, detail-oriented, and passionate about building secure, scalable solutions. Join a mission-driven team where your expertise will directly contribute to the future of AI technology.
Required Skills & Experience
- 4+ years of experience
- Experience securing cloud-based AI/ML infrastructure (e.g., AWS SageMaker, Google Cloud Platform Vertex AI, Azure ML)
- Strong knowledge of data protection and privacy regulations (e.g., GDPR, CCPA) relevant to AI data handling
- Proficiency in threat detection and incident response within high-performance computing environments
- Familiarity with securing APIs, model endpoints, and distributed AI systems
- Ability to automate security workflows using Python or similar scripting languages
- Bachelor's degree or equivalent experience
- Experience with securing machine learning pipelines and model integrity
- Knowledge of adversarial machine learning and AI-specific attack vectors
- Familiarity with DevSecOps practices in AI/ML development environments
- Understanding of secure data labeling, storage, and transfer practices
- Certifications such as CISSP, GIAC, or AWS Certified Security -Specialty
- 45% Cloud security
- 30% Automation and scripting
- 25% Application and API security
- 80% Hands On
- 20% Team Collaboration
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k) {including match- if applicable}
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.