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Security Engineer - Cloud Platform

Security Engineer - Cloud Platform

QuesthiringDelhi, IN
30+ days ago
Job description

Job Description :

Role : Security Engineer III

Location : Gurgaon (Work From Office 5 Days)

Experience : 9+ Years

Notice Period : Immediate to Max 30 Days

About the Role :

We are looking for a seasoned Security Engineer (Level III) with strong expertise in cybersecurity, cloud security, and security engineering. The role focuses on advancing security infrastructure through cloud-native tools, AI / ML-powered threat detection, and cutting-edge defensive strategies.

The ideal candidate will bring hands-on experience in securing large-scale platforms, automating security workflows, and driving initiatives that ensure resilience against evolving cyber threats.

Key Responsibilities :

Security Engineering :

  • Design, build, and integrate advanced security solutions (firewalls, IDS / IPS, encryption, intrusion detection).
  • Embed security practices into the SDLC and automate security workflows.
  • Lead initiatives to mitigate risks from emerging cyber threats.

Cloud Security :

  • Design and manage secure cloud architectures across AWS, Azure, and GCP.
  • Implement AI / ML-powered monitoring and threat detection in cloud environments.
  • Automate cloud security configurations and predictive vulnerability assessments.
  • Data Protection :

  • Implement data encryption, tokenization, and masking practices.
  • Enforce data classification, access controls, and retention policies.
  • Monitor compliance with security standards for data at rest and in transit.
  • Collaboration & Reporting :

  • Partner with cross-functional teams to integrate AI-driven security controls into development pipelines.
  • Prepare reports on vulnerabilities, risks, and AI / ML-driven improvements.
  • Contribute to security policy updates and conduct workshops on advanced security practices.
  • Required Skills & Qualifications :

  • 9+ years of proven experience in cybersecurity, cloud security, and security engineering.
  • Strong knowledge of cloud platforms (AWS, Azure, GCP) and related security services (IAM, encryption, monitoring).
  • Solid understanding of network security protocols and tools (firewalls, VPNs, IDS / IPS).
  • Hands-on expertise with AI / ML techniques for anomaly detection, supervised / unsupervised learning, and threat classification.
  • Proficiency in Python, R, or AI / ML frameworks (TensorFlow, Keras, etc.).
  • Familiarity with cloud-native AI-driven security tools (AWS GuardDuty, Azure Sentinel, etc.).
  • Experience in threat intelligence, vulnerability management, and incident response.
  • Why Join Us ?

  • Opportunity to work with advanced AI / ML-driven cybersecurity solutions.
  • Exposure to cutting-edge cloud security and automation practices.
  • Competitive compensation package with performance-based variable pay.
  • Challenging role with leadership opportunities in cybersecurity initiatives.
  • Note : Only candidates with immediate to 30 days notice period will be considered.

    (ref : hirist.tech)

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