Cloud Platform Architect - Associate Manager

Job Description

Key Responsibilities

Translate business strategy and priorities into target-state solution architectures and roadmaps.

Ensure application, data, security and cloud/infrastructure designs are coherent across a program or portfolio.

Chair architecture reviews; own key design decisions and standards exceptions.

Act as the primary architecture contract for business sponsors and portfolio leadership.

Partner with Enterprise, Application, Data and Security Architects to keep delivery aligned to the approved design.

Design for high availability, disaster recovery and resiliency, and take part in DR planning and testing.

Embed security by design: identity and access management, network segmentation, encryption, secrets management and Zero Trust principles.

Design and validate platform capabilities for AI and data workloads.

Guide the integration of Generative AI into new and existing systems, including RAG patterns, vector databases and LLM integration.

Establish governance for data privacy, responsible AI and prompt/data protection.

Define CI/CD and release strategy using Azure DevOps and GitHub Actions, with security gates and environment promotion.

Define monitoring, observability and alerting standards for the cloud platform.

Lead proofs of concept (POC/Pilots) and pre-production readiness for new platform services and features.

Requirements

12+ years of overall industry experience, including 5+ years of designing and operating cloud architecture.

Certification: TOGAF Certification or Azure Solutions Architect Expert (required).

Cloud architecture: Proven experience designing and operating secure architectures on Azure and/or GCP at enterprise scale, applying the Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF).

Infrastructure as Code: Terraform (required); ARM/Bicep or equivalent.

Security & identity: IAM, OAuth2 / OpenID Connect / SAML, Microsoft Entra ID.

Networking: DNS, DHCP, routing, VNet/VPC design, firewalls and hybrid connectivity (VPN / ExpressRoute / Interconnect).

Containers & DevOps: Docker and Kubernetes (AKS and/or GKE), CI/CD with Azure DevOps and/or GitHub Actions, Git and release automation.

AI/GenAI awareness: Conceptual and hands-on understanding of GenAI patterns: RAG, vector databases and LLM integration.

Solid understanding of compute, storage and data services in public cloud; scripting in Python and/or PowerShell for automation.

Demonstrated experience running production workloads with high availability, security and cost optimization (FinOps) at scale.

Strong documentation and communication skills; experience working in globally distributed teams and with multiple vendors.

Bachelor’s degree in Computer Science, Engineering or a related field (or equivalent experience); Master’s degree preferred.

Mandatory Competencies