Infrastructure Architect Application & Quality Architect
Required Qualifications:
Ability to influence engineering and security teams and drive architectural decisions.
Extensive experience architecting resilient cloud solutions using Azure App Services, Azure Functions, AKS, API Management, Service Bus, and other PaaS components.
Strong understanding of DevSecOps principles, cloud security patterns, and supply chain security.
Proficiency with C#/.NET, Terraform/Bicep, SQL, and modern cloud-native development practices.
Experience with DVCS (GitHub, GitLab) and building automated CI/CD pipelines.
Preferred Certifications:
Azure Solutions Architect Expert (AZ-305)
DevOps Engineer Expert (AZ-400)
Azure Administrator Associate (AZ-104)
Azure Developer Associate (AZ-204)
Key Responsibilities:
Architectural Leadership & Platform Strategy:
Own architecture for delivery platforms, pipelines, environment provisioning, and infrastructure components.
Define scalable, secure, maintainable platform architectures aligned with enterprise DevSecOps and cloud standards.
Lead Azure migration execution paths for legacy on-prem environments using IaC and cloud-native patterns.
Perform platform-level architectural assessments and modernization roadmaps for IT/OT infrastructure.
Align platform architecture with enterprise reference models, governance, and security frameworks.
DevSecOps & Delivery Engineering Leadership:
Provide architectural oversight for CI/CD pipelines, automation frameworks, IaC, and environment lifecycle management.
Embed security and compliance controls into pipelines, championing "shift-left" security and automated guardrails.
Collaborate with Cybersecurity and SecOps teams to align toolchains and compliance standards.
Guide adoption of DevSecOps metrics and KPIs across delivery speed, quality, and security posture.
Advance DevSecOps maturity across teams, improving automation and deployment efficiency.
Mentor teams on DevSecOps, automation, cloud, and platform standards.
Drive adoption of AI-driven automation for pipelines, deployments, monitoring, and compliance validation.
Evaluate and lead POCs for AI-enabled tooling supporting observability, remediation, and operational analytics.
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