Cloud Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Create scalable, robust, secure, and cost-efficient cloud architectures customized to meet client needs.

• Design and deploy cloud solutions across both public cloud and hybrid environments.

• Act as a subject matter expert in cloud services for clients and internal engineering teams.

• Engage in client meetings to convey architectural recommendations to both technical and business stakeholders.

• Develop architecture designs that cater to performance, availability, scalability, security, and operational needs.

• Implement cloud security best practices.

• Design infrastructure with a focus on monitoring, management, support, and operational requirements.

• Estimate and assist in managing cloud consumption and infrastructure expenses.

• Conduct cloud assessments to pinpoint cost optimization and resource utilization opportunities.

• Create and maintain architecture diagrams, technical documentation, standards, and implementation guidance.

• Support cloud migration efforts, including planning, assessment, architecture, and implementation.

• Design and facilitate workload migrations to public cloud environments.

• Transform architecture designs into secure and maintainable implementations in collaboration with engineering teams.

• Assist in infrastructure automation utilizing Terraform and other Infrastructure as Code tools.

• Aid clients in adopting emergent cloud and enterprise AI capabilities, taking into account security, governance, data protection, and responsible adoption.

⛳️ Requirements

• Over 3 years of experience in cloud engineering and architecture.

• Proven experience in designing and implementing complex, enterprise-scale cloud solutions.

• Senior-level certifications in several cloud platforms, such as AWS Solutions Architect Professional, GCP Professional Cloud Architect, or AZ-305.

• Demonstrated experience leading cloud architecture initiatives for organizations or significant clients.

• Expert knowledge of multi-cloud and hybrid cloud architectures.

• Proven experience with cloud migration strategies and execution at scale.

• Familiarity with industry-standard security frameworks and compliance requirements, including SOC 2, ISO 27001, NIST, HIPAA, and PCI-DSS.

• Exceptional problem-solving, troubleshooting, and analytical skills.

• Demonstrated leadership skills, including mentoring junior team members.

• Advanced automation skills with Infrastructure as Code and CI/CD pipelines.

• Expert understanding of IaaS, PaaS, SaaS, and serverless architectures.

• Knowledge of enterprise AI deployments.

• Strong project management and stakeholder communication abilities.

• Experience designing solutions in highly regulated industries is strongly preferred.

• Experience in the financial sector is a plus.

• Experience working at a Managed Service Provider (MSP) is a plus.

• Expert knowledge of one or more major public cloud platforms, including Azure, AWS, and/or Google Cloud.

• Advanced knowledge of cloud networking, compute, security, IAM, and cost optimization.

• Expert technical skills with Windows Server, Active Directory, and hybrid identity solutions.

• Proficiency in Git, version control, and Azure DevOps repositories.

• Deep understanding of containerization, Kubernetes, and cloud-native architectures.

• Expert knowledge of Windows and Linux enterprise environments.

• Expert comprehension of Azure deployment using Terraform and Infrastructure as Code tools.

• Advanced understanding of Azure CI/CD pipelines.

• Extensive experience administering Microsoft Fabric.

• Proficient in PowerShell and/or Python, with working knowledge of Bash and other scripting languages.

• In-depth understanding of cloud economics and enterprise-scale cost optimization.

• Expert knowledge of security frameworks, compliance requirements, and risk management.

• Fundamental understanding of generative AI and large language models, including their limitations and mitigations.

• Familiarity with enterprise AI platforms and their security, governance, and data handling considerations.

• Understanding of AI skills and agentic behavior.

• Working knowledge of Microsoft Purview, including DLP, Information Protection, and Insider Risk Management.

• Familiarity with Azure AI Foundry, Amazon Bedrock, or Amazon SageMaker.

• Understanding of AI data readiness principles.

• Occasional availability to work nights and some weekends.

🏝️ Benefits

• Competitive salary.

• Medical, dental, vision, disability, and life insurance.

• 401k plan.

• Paid Time Off (PTO).

• Opportunities for further education through the Employee Certification program.

• Exposure to a wide range of technologies.

• Office perks including healthy snacks, wellness programs, and enjoyable events.

• A positive, friendly, and supportive workplace environment.