Security Engineer - Cloud

We are looking for a skilled and forward-thinking Security Engineer III to enhance security infrastructure, with a strong focus on cloud security, perimeter defense, security engineering, and AI/ML-driven security practices. The ideal candidate will have hands-on experience in securing cloud environments, automating security operations, improving threat detection, and proactively identifying and mitigating vulnerabilities across cloud and network infrastructure.

Responsibilities:

• Build, implement, and integrate security solutions, including firewalls, encryption tools, intrusion detection and prevention systems, and other security controls.
• Collaborate with development teams to integrate security practices into the Software Development Lifecycle (SDLC).
• Automate security workflows, vulnerability management, and incident response processes.
• Lead security initiatives to address evolving threats and strengthen infrastructure resilience.
• Design, implement, and manage secure cloud architectures across platforms such as AWS, Azure, and Google Cloud.
• Leverage AI/ML-driven security tools to improve cloud monitoring, threat detection, and incident response.
• Automate cloud security configurations and implement proactive vulnerability assessment mechanisms.
• Partner with DevOps and infrastructure teams to integrate security controls into cloud environments and deployment pipelines.
• Design and manage data protection mechanisms, including encryption, tokenization, and masking, to secure sensitive information at rest and in transit.
• Implement data classification, access control, and retention policies to minimize security risks.
• Monitor and enforce security controls across data storage, processing, and transmission.
• Apply AI/ML techniques, including anomaly detection, supervised and unsupervised learning, and threat classification, to strengthen security operations.
• Build and deploy automated, scalable security models for identifying suspicious activities and emerging threats.
• Integrate cloud-native security tools such as AWS GuardDuty and Microsoft Sentinel into security monitoring and response workflows.
• Evaluate emerging AI/ML technologies to improve security automation and proactive threat prevention.
• Work closely with development, DevOps, infrastructure, and security teams to embed security best practices across applications and cloud environments.
• Prepare reports on security risks, threat trends, vulnerabilities, and recommended mitigation strategies.
• Contribute to security policies, procedures, and standards aligned with evolving cybersecurity practices.
• Support knowledge sharing and training initiatives on modern security engineering and AI/ML-driven security operations.

Requirements:

• 5+ years of overall experience in cybersecurity and engineering, including at least 3 years of hands-on cybersecurity/cloud security experience.
• Strong expertise in cloud security, perimeter security, and security engineering.
• Practical experience with AWS, Azure, or Google Cloud and associated security services, including IAM, encryption, security groups, and cloud security monitoring.
• Strong understanding of network security technologies and protocols, including firewalls, VPNs, IDS/IPS, and perimeter defense mechanisms.
• Hands-on experience applying AI/ML techniques to cybersecurity use cases, including anomaly detection, threat classification, and predictive vulnerability assessment.
• Proficiency in Python and scripting, with familiarity with AI/ML frameworks and tools such as TensorFlow, Keras, or equivalent technologies.
• Experience with cloud-native security tools such as AWS GuardDuty and Microsoft Sentinel.
• Strong knowledge of threat intelligence, vulnerability management, incident response, and security frameworks.
• Experience automating security controls and deploying security solutions in scalable production environments.
• Ability to collaborate effectively with cross-functional teams and communicate technical security risks and mitigation strategies.