Nykaa
📍 Gurugram, Haryana, India💼 On-site🕑 6+ years🗓️ Posted: 13-01-2026
Job Description
Nykaa is looking for a Lead Security Engineer to advance their security infrastructure through cloud security, perimeter defenses, and AI/ML-powered security engineering. This role focuses on advancing security infrastructure through cloud security, perimeter defenses, and cutting-edge security engineering practices powered by Artificial Intelligence (AI) and Machine Learning (ML).
Responsibilities
- Build and integrate security solutions, such as firewalls, encryption tools, and intrusion detection systems, to protect critical infrastructure and data.
- Collaborate with development teams to integrate security measures into the software development lifecycle (SDLC).
- Ensure automation of security workflows, vulnerability management, and incident response processes.
- Lead security initiatives to address evolving threat landscapes, ensuring systems are resilient against emerging cyber risks.
- Design, implement, and manage secure cloud architectures for platforms such as AWS, Azure, and Google Cloud.
- Utilize AI/ML-driven security tools to enhance cloud monitoring, incident response, and threat detection in cloud environments.
- Ensure secure cloud infrastructure by automating security configurations and leveraging AI for predictive vulnerability assessments.
- Work with DevOps and infrastructure teams to implement automated security controls.
- Design and manage data encryption, tokenization, and masking practices to protect sensitive data both at rest and in transit.
- Design and enforce data classification schemes, access controls, and data retention policies to mitigate risks to sensitive information.
- Monitor and enforce security controls related to data handling, ensuring data is securely stored, processed, and transmitted in accordance with best practices.
- Work closely with cross-functional teams to embed AI-powered security practices in development pipelines, system architecture, and cloud-based environments.
- Provide detailed insights and reports on AI/ML-driven security improvements, potential risks, and recommended mitigations to management and stakeholders.
- Assist in creating and updating security policies, procedures, and standards to ensure they reflect emerging AI/ML technologies and best practices.
- Conduct training and workshops for other security teams on AI/ML techniques in security operations.
Requirements
- 6+ years of experience in cybersecurity with a strong focus on cloud security, perimeter security, and security engineering.
- Practical experience with cloud platforms (AWS, Azure, Google Cloud) and security services (IAM, encryption, security groups, etc.).
- Strong understanding of network security protocols (e.g., firewalls, VPNs, IDS/IPS) and their integration with AI/ML models for enhanced defense.
- Hands-on experience with AI/ML techniques for cybersecurity applications, including supervised and unsupervised learning, anomaly detection, and threat classification.
- Proficiency in programming and scripting languages (Python, R, TensorFlow, Keras, or similar AI/ML tools).
- Familiarity with cloud-native security tools that leverage AI/ML for threat detection (e.g., AWS GuardDuty, Azure Sentinel).
- Experience with threat intelligence, vulnerability management, and incident response frameworks.
- Experience in building and deploying security models in automated, scalable environments.
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