Cloud Architect

Pentangle Tech Services | P5 Group; San Jose (CA); On-site; USD 93,000 - 151,000; Full time

Job summary

A technology services firm is seeking a Senior Cloud Application Developer in San Jose, CA. The ideal candidate will design, deploy, and maintain scalable cloud solutions across multi-cloud environments (Azure, AWS, GCP) while ensuring security best practices. They will collaborate with teams to integrate AI/ML solutions and build secure APIs. A minimum of 10 years experience in cloud-native applications is required.

Qualifications

• 10+ years of experience in building cloud-native applications with a focus on security.
• Deep expertise in security services within Azure, AWS, and GCP.
• Strong programming skills in Python, Java, C#, or Node.js.

Responsibilities

• Lead integration, design, deployment, and maintenance of cloud gateway solutions.
• Ensure compliance with security standards (SOC 2, ISO 27001, NIST CSF).
• Collaborate with Full stack developers, AI/ML engineers, Security teams.

Skills

Cloud-native application development

Security best practices

Programming in Python

Working with APIs

Risk assessment

IoT security principles

Education

Bachelor’s or master's in computer science, Engineering, or related field

Tools

Terraform

AWS

Azure

GCP

Job description

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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. · 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

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Industries

  Staffing and Recruiting, Motor Vehicle Manufacturing, and Robot Manufacturing

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