Senior Cloud Security Engineer
2 semanas atrás
We are seeking a highly skilled and motivated Senior Cloud Security Engineer to manage our cloud security and governance, risk management, and compliance (GRC) activities.
This role involves implementing security controls in our cloud environment, supporting vendor and partner assessments, maintaining our Information Security Management System (ISMS), and responding to security assessments and audits.
The ideal candidate will work closely with other IT professionals to ensure secure operations and data protection.
Key Responsibilities:- Cloud Security: Implement and configure security controls in a cloud environment, including authentication procedures, network security, and data protection for our cloud infrastructure (Microsoft Azure and AWS).
- Provide security recommendations to enhance the cloud security posture and actively support their implementation.
- Ensure cloud security systems and resources are kept up-to-date.
- Provide technical support during security incidents, assisting in the containment and resolution phases.
- Support DevSecOps practices by integrating security into the CI/CD pipeline and implementing container security recommendations.
- Stay updated with cloud security best practices, technologies, and emerging threats.
- Education and Certifications: Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field.
- Professional certifications in Microsoft Azure AZ-500, Certified Cloud Security Professional (CCSP), and relevant GRC certifications (e.g., CISSP, CISM, CISA).
- Experience: 5+ years of experience in cybersecurity with a focus on cloud security and GRC.
- Proven experience in implementing and managing cloud security controls and practices.
- Extensive knowledge of cybersecurity frameworks, standards, and regulations (e.g., NIST, ISO, GDPR, HIPAA).
Defined.ai offers a platform with multiple data delivery options that leverages machine learning technology and human intelligence to deliver quality-guaranteed training data for AI systems.
The platform offers self-service and fully customizable solutions that deliver high-quality project-specific training data, enabling AI products reach market quicker.
It is this business model that has allowed Defined.ai to raise a total of $63.6M in funding over 4 rounds.
Our value proposition is quality, privacy, speed and scale, covering more than 50 different languages.
With strong expertise in speech and natural language processing technologies, we have been serving AI companies and Fortune 500 companies since day one.
Defined.ai was founded in Seattle and has an office in Lisbon.
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