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Talent Acquisition Specialist | Expert in Staffing & Recruiting | Tech Recruitment Certified | Excel Skills Virtual Experience Program Certified |…
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. · DevOps, CI/CD & IaC: Embed security in DevOps pipelines (SAST, DAST, container scanning) and define Infrastructure as Code (IaC) using Terraform, ARM templates, and CloudFormation 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 GuardDuty).
- 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., PodSecurityPolicies, image signing). · Exposure to computer vision and secure model serving, including Azure Confidential Computing.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Industries
Motor Vehicle Manufacturing and Machinery Manufacturing
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