Description

You will design, implement, and manage security controls across cloud platforms and AI/ML systems.

This role is on-site.

Responsibilities

• Design and implement security controls for IaaS, PaaS, and cloud-native workloads.
• Secure AI and ML systems, covering model development, training, data pipelines, APIs, and inference services.
• Embed security into CI/CD pipelines and ML workflows through DevSecOps/MLOps practices.
• Monitor cloud and AI environments, investigating security alerts and supporting incident response.
• Assess and mitigate risks from cloud misconfigurations, IAM issues, data exposure, and insecure APIs.

Required Skills

• 8+ years of proven work in security architecture, focusing on solution design and implementation.
• 8+ years designing security measures to protect public cloud data (encryption, ACLs, IDS, firewalls).
• 8+ years understanding multi-cloud security architectures, including infrastructure and application security.
• 8+ years consulting on security best practices and implementing principles to meet regulatory goals.
• 8+ years expertise in cloud security considerations, including data breaches, broken authentication, and DoS attacks.
• 8+ years knowledge of threat analysis and risk assessment, designing mitigating solutions.
• 8+ years experience with NIST standards and ISO27001 specifications.
• 8+ years experience with SPLUNK for creating alerts, dashboards, and executive reports.
• Proficiency in DevSecOps, MLOps, AWS, CI/CD pipelines, CSPM, CWPP, and Data Pipelines.

Preferred Skills

• Experience with DevOps and Data Science practices.

Key Skills

Education

Any Gradute