Cloud Architect

Abacus Technology Corporation; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Abacus Technology Corporation seeks a Cloud Architect to design scalable, resilient, secure, and cost-effective cloud solutions for clients. You will serve as a technical subject matter expert for cloud services and work with clients and engineering teams to develop practical cloud architectures and support implementations.

The role requires expert knowledge of at least one major public cloud platform (Azure, AWS, or GCP) with strong networking, security, IAM, cost optimization, and governance.

Qualifications

• Expert knowledge of at least one major public cloud platform (Azure, AWS, or GCP).
• Strong understanding of cloud networking, security, IAM, and cost optimization.
• Experience with enterprise AI platforms and data protection considerations.

Responsibilities

• Design scalable, resilient, secure, and cost-effective cloud architectures for clients.
• Design and implement cloud solutions across public cloud and hybrid environments.
• Serve as cloud services SME for clients and internal teams.
• Translate architecture designs into secure, maintainable implementations.
• Support cloud migration initiatives and workload migrations to the cloud.

Skills

Cloud architecture

Public cloud platforms

Azure AWS GCP

Networking & security

Terraform

Kubernetes

CI/CD

Cost optimization

PowerShell/Python

Git/Azure DevOps

Tools

Terraform

Git

Azure DevOps

Kubernetes

Job description

Summary

As a Cloud Architect on our Cloud Engineering team, you will design and implement scalable, resilient, secure, and cost-effective cloud solutions that address client business and technical requirements. You will serve as a technical subject matter expert for cloud services and work directly with clients and engineering teams to develop practical cloud architectures and support successful implementation. The Cloud Architect should have expert knowledge of at least one major public cloud platform, such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP), with a strong understanding of cloud networking, security, infrastructure, cost management, and operational requirements. This role will also support clients in the adoption of emerging cloud and enterprise AI capabilities. You will help evaluate and design solutions involving technologies such as Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Amazon Bedrock, and other enterprise AI platforms, with consideration for security, governance, data protection, and responsible adoption.

Responsibilities (including, but not limited to the following)

• Design scalable, resilient, secure, and cost-effective cloud architectures tailored to client business requirements.
• Design and implement cloud solutions across public cloud and hybrid environments.
• Serve as a cloud services subject matter expert for clients and internal engineering teams.
• Participate in client meetings and communicate cloud architecture recommendations to technical and business stakeholders.
• Develop cloud architecture designs that address performance, availability, scalability, security, and operational requirements.
• Apply cloud security best practices to infrastructure and solution designs.
• Design cloud infrastructure with ongoing monitoring, management, support, and operational requirements in mind.
• Estimate and help manage cloud consumption and infrastructure costs.
• Conduct cloud assessments and identify opportunities for cost optimization and improved resource utilization.
• Develop and maintain cloud architecture diagrams, technical documentation, standards, and implementation guidance.
• Support cloud migration initiatives, including planning, assessment, architecture, and implementation.
• Design and support workload migrations to public cloud environments.
• Work with engineering teams to translate architecture designs into secure and maintainable implementations.
• Support infrastructure automation using Terraform and other Infrastructure as Code tools.

Skills

• 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