Principal Cloud Architect

As our Principal Cloud Architect, you will be the technical authority for Intelex's public cloud evolution; designing resilient, secure, and cost-efficient infrastructure that underpins both our core SaaS platform and emerging AI capabilities. You will work at the intersection of infrastructure, platform engineering, and product strategy, partnering closely with Engineering, InfoSec, and Data & AI teams to set standards and drive execution.

Key Responsibilities

• Cloud Strategy & Architecture
  • Define and own the cloud architecture vision, standards, and roadmap for Intelex's AWS-first (multi-cloud aware) infrastructure
  • Design highly available, secure, and scalable infrastructure encompassing networking, security controls, performance engineering, and cost optimization
  • Evaluate and recommend cloud-native services, emerging technologies, and architectural patterns aligned with product and business objectives
  • Lead assessment and execution of cloud migration and modernization initiatives, including legacy system re-platforming
• AI & Data Platform Enablement
  • Architect cloud infrastructure to support Intelex's AI product portfolio; including scalable model serving, data pipelines, and LLM integrations
  • Collaborate with the Data & AI team to ensure Snowflake, S3-based data lake, and real-time streaming infrastructure are production-grade and cost-efficient
  • Establish infrastructure guardrails for responsible AI deployment including data residency, access controls, and audit logging
• Engineering Collaboration & Standards
  • Partner with Engineering, CloudOps, SRE, and DevOps teams on roadmap planning and delivery execution
  • Define and enforce Infrastructure-as-Code standards using Terraform, with emphasis on reusable modules, security scanning, and CI-driven validation
  • Establish and maintain CI/CD pipeline standards (GitHub Actions, Octopus Deploy) for infrastructure and application delivery
  • Champion developer experience by reducing infrastructure toil and enabling self-service provisioning within guardrails
• Security, Governance & Compliance
  • Partner with InfoSec to implement cloud security best practices, enforce least-privilege access, and maintain compliance posture (SOC 2, ISO 27001, GDPR)
  • Lead cloud security reviews and contribute to Intelex's AI security and governance framework
  • Represent Intelex in technical discussions with enterprise customers, partners, and auditors on cloud and infrastructure topics
• Observability & Reliability
  • Define and implement observability standards across metrics, logs, and traces using New Relic, CloudWatch, and Azure Monitor
  • Drive SLO/SLA definition and reliability improvements across critical SaaS services
  • Lead major incident response coordination and contribute to blameless post-mortem culture

Required Education

• B.S. in Computer Science, Engineering, or equivalent practical experience

Required Experience

• 8+ years in cloud infrastructure, CloudOps, DevOps, or SRE roles supporting highly available SaaS/production platforms
• 5+ years hands-on AWS architecture experience; AWS Solutions Architect Professional certification preferred

Required Competencies:

• Proven expertise in Terraform module design, security policy-as-code, and CI-integrated infrastructure validation
• Strong proficiency with containerization and orchestration: Kubernetes (EKS / AKS), AWS ECS, and Docker
• Solid CI/CD pipeline experience with GitHub Actions; familiarity with Octopus Deploy or Jenkins
• Scripting fluency in Bash, Python, and PowerShell for automation and operational tooling
• Experience architecting for compliance-sensitive environments (SOC 2, ISO 27001, GDPR / PIPEDA)
• Excellent communication skills; comfortable presenting architecture decisions to leadership, senior engineers, and non-technical stakeholders

Strongly Preferred Competencies:

• Azure architecture experience (AKS, Azure Monitor, Azure AD, Azure SQL)
• Hands-on experience with data platform infrastructure: Snowflake, Amazon RDS / Aurora, Redis
• Exposure to AI/ML infrastructure: model serving, GPU instances, vector databases, LLM API integrations
• Familiarity with FinOps practices and cloud cost governance tooling
• Experience in multi-tenant SaaS architecture patterns
• Linux / Unix systems administration depth (OS hardening, networking, firewalls, load balancers)

Other Requirements

• Please note that this role requires a satisfactory Criminal Background Check and Public Safety Verification.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.