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Salary
≈ $20k – $43k per year (Estimated)
Location
In office (Gurgaon, Noida)
Experience
5+ years exp

First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match
Headquartered in Mumbai, India, Nykaa is a leading omnichannel beauty, wellness, and fashion retailer. The company operates a digital e-commerce marketplace alongside a nationwide network of retail stores, offering cosmetics, skincare, personal care, and apparel from top international and domestic brands as well as proprietary private labels. By combining an inventory-led distribution model with content-driven customer engagement, it provides authentic lifestyle products and personalized shopping experiences across South Asia and expanding international markets.

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.

Skills

AWS, Azure, GCP, Google Cloud, GuardDuty, IDS, IPS, Python, Sentinel, cloud, cybersecurity, security

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