Senior Product Security Engineer (Azure)

TL;DR

Senior Product Security Engineer (Azure/DevSecOps): Designing and implementing secure architecture for cloud-native platforms and enterprise applications with an accent on Zero Trust and CNAPP integration. Focus on embedding shift-left security into CI/CD pipelines, securing AKS workloads, and developing scalable policy-as-code frameworks.

Location: Remote (Must be based in the United States)

What you will do

• Design and lead secure architecture reviews for cloud-native, distributed, and IoT-enabled platforms.
• Define and maintain cloud security standards, guardrails, and policy-as-code frameworks.
• Implement and optimize CNAPP capabilities, including CSPM, CWPP, and CIEM.
• Secure Azure Kubernetes Service (AKS), containerized workloads, and APIs using modern best practices.
• Integrate SAST, DAST, and SCA security controls into CI/CD pipelines.
• Drive enterprise-wide adoption of Zero Trust principles and secure-by-design patterns.

Requirements

• Bachelor's degree in Computer Science, IT, or a related technical discipline.
• Extensive experience designing secure cloud architectures for enterprise and distributed systems.
• Strong expertise with Microsoft Azure security services and cloud architecture.
• Hands-on experience with CNAPP platforms such as Microsoft Defender for Cloud, Wiz, or Prisma Cloud.
• Deep knowledge of Kubernetes, AKS, container security, and image hardening.
• Experience securing IaC environments using Terraform, ARM templates, or Bicep.
• Must be based in the United States.

Nice to have

• Azure Security certifications.

Culture & Benefits

• Competitive compensation package with comprehensive medical, health, and wellness benefits.
• Retirement savings program and additional employee benefit offerings.
• Opportunities for continuous technical learning and industry certifications.
• Collaborative and inclusive workplace committed to diversity and equity.
• Exposure to innovative cloud and IoT technology initiatives.

Hiring process

• AI-powered matching process to identify top candidates based on core requirements.
• Shortlisted candidates are shared with the internal hiring team for interviews and assessments.