Sr Cloud Architect

In UsRemotesenior

EngineeringSoftware Architect

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

Summary As a Senior Cloud Architect on our Cloud Engineering team, you will lead the design and implementation of complex cloud solutions for our clients across multiple cloud platforms.

Technical Tools

anthropicawsazurechatgptgcpgoogle-workspacekubernetespythonterraformci-cdlinuxmentoringnetworkingproject-managementsaas

As a Senior Cloud Architect on our Cloud Engineering team, you will lead the design and implementation of complex cloud solutions for our clients across multiple cloud platforms. You will serve as a technical leader and subject matter expert, providing strategic guidance on cloud architecture, security, cost optimization, and the secure adoption of enterprise AI capabilities. You will mentor junior team members while driving innovation and best practices across the organization.

The Senior Cloud Architect designs complex, enterprise-grade cloud solutions that address sophisticated business requirements across multi-cloud and hybrid environments. Through expert-level understanding of cloud architecture and emerging technologies, you will lead architectural reviews, optimize cloud costs, and ensure solutions meet the highest standards of security, scalability, and reliability. This role requires deep expertise in multiple major cloud platforms and the ability to align technical solutions with business strategy, including the secure and well-governed integration of enterprise AI services into client environments.

Responsibilities

~2 min read

→Must be able to articulate complex technical architectures to executive leadership and diverse stakeholders
→Ability to deliver innovative, enterprise-grade technology solutions for clients
→Ability to lead projects under pressure and with competing priorities
→Highly analytical thinker with advanced troubleshooting and problem-solving skills
→Must have availability to occasionally work nights and some weekends
→Expert knowledge of multiple major public cloud platforms (Azure, AWS, and/or Google Cloud) including advanced networking, compute, security, IAM, and cost optimization
→Expert technical skills with Windows Server Technologies, including Active Directory and hybrid identity solutions
→Proficiency with git and version control in conjunction with Azure DevOps repositories
→Deep familiarity with containerization, Kubernetes, and cloud-native application architectures
→Expert understanding of Windows and Linux environments at the enterprise scale
→Expert understanding of deploying to Azure using Terraform and other Infrastructure as Code tools
→Advanced understanding of deploying to Azure using CI/CD processes with complex pipelines
→Advanced experience with administering Microsoft Fabric
→Ability to align cloud solutions to complex business needs and strategic objectives
→Solid proficiency in PowerShell and/or Python with working familiarity in Bash and other scripting languages
→Ability to read, understand, and optimize complex code and infrastructure configurations
→Deep understanding of cloud economics and ability to optimize costs at enterprise scale
→Expert knowledge of security frameworks, compliance requirements, and risk management
→Fundamental understanding of how generative AI and large language models work, including their limitations (hallucination, prompt injection, non-determinism) and practical mitigations for production use
→Working knowledge of enterprise AI platforms such as Microsoft 365 Copilot, Copilot Studio, Claude Enterprise, and ChatGPT Enterprise, including their security, governance, and data handling considerations
→Understanding of AI skills and agentic behavior, including tool use, orchestration patterns, and failure modes
→Working knowledge of Microsoft Purview, particularly Data Loss Prevention (DLP), Information Protection, and Insider Risk Management, and how these underpin safe enterprise AI adoption
→Familiarity with Azure AI Foundry, Amazon Bedrock, or Amazon SageMaker; Google Vertex AI experience a bonus
→Understanding of data readiness principles for AI, including permissions hygiene, oversharing remediation, and sensitivity labeling
→Awareness of AI regulatory considerations in the US or UK, particularly data residency and auditability (helpful, not required)

Requirements

~1 min read

5+ years of experience in cloud engineering and architecture
Proven track record designing and implementing complex, enterprise-scale cloud solutions
Senior-level certifications in multiple cloud platforms (e.g., AWS Solutions Architect Professional, GCP Professional Cloud Architect, AZ-305)
Demonstrated experience leading cloud architecture for organizations or major clients
Expert understanding of multi-cloud and hybrid cloud architectures
Proven experience with cloud migration strategies and execution at scale
Knowledge of industry standard security frameworks and compliance requirements (e.g., SOC 2, ISO 27001, NIST, HIPAA, PCI-DSS)
Expert problem-solving, troubleshooting, and analytical skills
Demonstrated leadership abilities including mentoring junior team members
Advanced automation capabilities with Infrastructure as Code and CI/CD pipelines
Expert understanding of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and serverless architectures
Understanding of enterprise AI deployments (e.g., Microsoft 365 Copilot rollouts, Copilot Studio agents, Azure AI Foundry, Amazon Bedrock, Amazon Q Business, Google Vertex AI, or Gemini for Google Workspace)
Strong project management and stakeholder communication skills
Experience architecting solutions in highly regulated industries (financial services, healthcare) strongly preferred
Experience in the financial sector a plus
Experience working at an MSP a plus