Description

You will design and implement security solutions for cloud and application environments, integrating AI/ML tools into security workflows.

This role is on-site.

Responsibilities

• Design secure cloud architectures across AWS, Azure, and Google Cloud platforms.
• Automate vulnerability management and incident response using AI/ML-driven tools.
• Embed security controls into the SDLC through DevSecOps practices in CI/CD pipelines.
• Develop data protection strategies including encryption and access control policies.
• Lead security initiatives, providing risk assessments and reports to stakeholders.

Required Skills

• 6-10 years of experience in Security Engineering or Cybersecurity.
• Strong hands-on experience in Cloud Security (AWS, Azure, or GCP).
• Proven expertise in Vulnerability Management, Threat Modeling, and Incident Response.
• Experience implementing AI/ML-driven security tools and automation frameworks.
• Strong understanding of Network Security, Zero Trust architecture, and perimeter defense.
• Experience integrating security into DevOps/CI-CD pipelines (DevSecOps).
• Knowledge of Data Security principles (encryption, tokenization, masking).
• Familiarity with compliance frameworks such as ISO 27001, SOC 2, or NIST.

Preferred Skills

• Experience securing containerized and microservices-based environments.

Key Skills

Education

Any Graduate