Cloud Architect

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Job Description:

• We are seeking a seasoned Senior Cloud Application Developer to lead the integrate, design, deployment, and maintenance of scalable, secure cloud gateway solutions across Azure, AWS, and GCP.
• This role is ideal for someone who is passionate about AI/ML and IoT, and has deep expertise in ensuring robust security practices across all layers of development.
• You will drive multi-tenant architectures, manage the security posture, and ensure the successful deployment of industrial IoT applications in highly regulated environments.
  
  Key Responsibilities:
  
  ·
• Gateway Architecture & Development:
  Design and implement secure API gateways and service meshes following zero-trust principles. Build high-performance, secure APIs for front-end applications and edge de-vices.
• · AI/ML & API Integration:
  Develop secure pipelines for training, validation, and deployment of machine learning models.
• Integrate conversational APIs with strong authentication, access control, and us-age monitoring.
  · Security & Compliance:
  Lead threat modeling and risk assessments to identify vulnerabilities.
• Implement encryption (in-transit and at-rest), key management, and certificate rotation. Ensure compliance with security standards (SOC 2, ISO 27001, NIST CSF) and maintain audit readiness.
• · Multi-Cloud & Multi-Tenant Deployment:
  Architect secure, isolated multi-cloud environments with IAM roles, RBAC, and network segmentation. Optimize connectivity, cost, and security across cloud platforms.
• · IoT & Industrial Automation:
  Design and secure telemetry pipelines (e.g., MQTT/TLS, OPC-UA) for device telemetry and control. Collaborate with OT teams to integrate anomaly detection and incident response systems.
  · Dev Ops, CI/CD & IaC:
  Embed security in Dev Ops pipelines (SAST, DAST, container scanning) and define Infrastructure as Code (IaC) using Terraform, ARM templates, and Cloud Formation with policy-as-code.
  · Collaboration & Mentorship:
  Collaborate with Full stack developers, AI/ML engineers, Security and infrastructure deployment teams.

Required Qualifications:

• Bachelor’s or master's in computer science, Engineering, or a related field.
  · 10+ years of experience in building cloud-native applications with a focus on security.
  · Deep expertise in security services within Azure, AWS, and GCP (e.g., Azure Security Center, AWS Guard Duty).
• Strong programming skills in Python, Java, C#, or Node.js with secure coding practices.
• Proven experience securing AI/ML workflows, including private VPCs and endpoint policies.
• In-depth understanding of threat modeling, risk assessment, and secure system design.
• Solid experience with OAuth2/OIDC, JWT, IAM roles/policies, and key management solutions (e.g., Azure Key Vault, KMS).
  · Familiarity with compliance frameworks (SOC 2, ISO 27001, NIST CSF).
  · Extensive knowledge of IoT security principles, including device identity and secure firmware updates.

Preferred Qualifications:

• Certifications:
  
  CISSP, CCSP, AWS Certified Security – Specialty, Azure Security Engineer Associate.
  · Experience with SIEM/SOAR tools and cloud-native monitoring platforms (e.g., Cloud-Trail, Sentinel, Security Hub).
  · Background in industrial control systems (SCADA/PLC) and OT-IT convergence.
  · Familiarity with container and Kubernetes security (e.g., Pod Security Policies , image signing).
  · Exposure to computer vision and secure model serving, including Azure Confidential Computing.

• Seniority level
  
  Not Applicable

• Employment type
  
  Full-time

• Industries Staffing and Recruiting, Motor Vehicle Manufacturing, and Robot Manufacturing

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