On-Site
Full-Time
Gurugram, Haryana
India
About the Role
Job Title: Security Engineer III
Work Office- 5 days
Location- Gurgaon
About Us:
Nykaa is a leading e-commerce platform that combines fashion and technology to deliver a seamless shopping experience. To fortify our commitment to security, we are seeking a dedicated Cyber Security engineer to join our team. If you have a strong background in securing infrastructure and are passionate about protecting e-commerce platforms, we encourage you to apply.
Job Overview: We are looking for a talented and forward-thinking Cybersecurity Engineer to join our team. This role focuses on advancing our security infrastructure through cloud security, perimeter defenses, and cutting-edge security engineering practices powered by Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will bring expertise in leveraging new technologies to enhance threat detection, automate responses, and predict vulnerabilities across cloud and network environments.
Key Responsibilities:
● Security Engineering:
○ 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.
● Cloud Security:
○ 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.
● Data Protection 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.
● Collaboration & Reporting:
○ 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.
Required Skills & Qualifications:
● 4+ 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.
This role is perfect for a cybersecurity professional who is passionate about leveraging AI and machine learning to revolutionize security operations, proactively defending cloud environments and networks against emerging threats. If you're eager to work with advanced technologies to secure the future of digital infrastructures, we'd love to hear from you!
Work Office- 5 days
Location- Gurgaon
About Us:
Nykaa is a leading e-commerce platform that combines fashion and technology to deliver a seamless shopping experience. To fortify our commitment to security, we are seeking a dedicated Cyber Security engineer to join our team. If you have a strong background in securing infrastructure and are passionate about protecting e-commerce platforms, we encourage you to apply.
Job Overview: We are looking for a talented and forward-thinking Cybersecurity Engineer to join our team. This role focuses on advancing our security infrastructure through cloud security, perimeter defenses, and cutting-edge security engineering practices powered by Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will bring expertise in leveraging new technologies to enhance threat detection, automate responses, and predict vulnerabilities across cloud and network environments.
Key Responsibilities:
● Security Engineering:
○ 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.
● Cloud Security:
○ 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.
● Data Protection 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.
● Collaboration & Reporting:
○ 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.
Required Skills & Qualifications:
● 4+ 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.
This role is perfect for a cybersecurity professional who is passionate about leveraging AI and machine learning to revolutionize security operations, proactively defending cloud environments and networks against emerging threats. If you're eager to work with advanced technologies to secure the future of digital infrastructures, we'd love to hear from you!