Jobs · Engineering · Massachusetts

IT Cloud Architect

MACOM · Lowell, MA · 1 mo ago
Engineering$132k–$191k/yrFull-time

About the role

MACOM designs and manufactures semiconductor products for Data Center, Telecommunication, and Industrial and Defense applications. Headquartered in Lowell, Massachusetts, MACOM has design centers and sales offices throughout North America, Europe, and Asia. MACOM is certified to the ISO9001 international quality standard and ISO14001 environmental management standard. MACOM has more than 75 years of application expertise with multiple design centers, Si, GaAs, and InP fabrication, manufacturing, assembly and test, and operational facilities throughout North America, Europe, and Asia. Click here to view our facilities. https://www.macom.com/. In addition, MACOM offers foundry services that represents a key core competency within our business. MACOM sells and distributes products globally via a sales channel comprised of a direct field sales force, authorized sales representatives, and leading industry distributors. Our sales team is trained across all of our products to give our customers insights into our entire portfolio.

Responsibilities

  • Design and govern scalable, secure, and resilient architectures across AWS and Azure clouds with a forward-looking roadmap aligned to business, security, and operational objectives.
  • Architect compliant environments (e.g., Azure GCC High) supporting CMMC, NIST 800-171, and ITAR, with strong controls for Zero Trust, segmentation, encryption, identity, and audit readiness.
  • Lead end-to-end migrations and modernization initiatives, including assessment, design, execution, and optimization, with a focus on minimizing risk and enabling cloud-native capabilities.
  • Design and operate hybrid environments integrating on-premises and cloud platforms, ensuring alignment with enterprise networking, identity, and systems architecture.
  • Enable automated, secure delivery through CI/CD pipelines and Infrastructure as Code (Terraform, Bicep, etc.), embedding security into development workflows for consistency and speed.
  • Design and support cloud architectures for AI/ML workloads, including model training, inference, and high-performance compute (e.g., GPU/EDA burst capacity).
  • Enable secure data pipelines, scalable compute environments, and integration of AI services while ensuring alignment with compliance, data governance, and cost optimization requirements.
  • Collaborate with application teams to modernize workloads using cloud-native and microservices architectures.
  • Present architectural strategies and business cases to technical teams, leadership, and executive stakeholders.
  • Drive organizational adoption of cloud solutions, securing buy-in from senior leadership.
  • Evaluate and leverage emerging technologies, including AI/ML platforms (e.g., Claude, OpenAI, or similar models).

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)
  • 8+ years of experience in IT infrastructure, with strong focus on cloud architecture
  • Proven success in migrating enterprise workloads to cloud environments
  • Hands-on experience designing hybrid cloud architectures
  • Strong foundation in: Networking (VPCs, routing, firewalls, load balancing), Systems (Windows/Linux administration), Storage (SAN/NAS, object storage, backup/recovery), Expertise in multi-cloud environments (AWS, Azure)
  • Experience with infrastructure as code (Terraform, ARM, CloudFormation, etc.)
  • Strong development knowledge, including: Python or similar scripting languages, CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, etc.)
  • Demonstrated ability to communicate complex technical topics to non-technical audiences
  • Proven track record of influencing and obtaining executive-level buy-in

Preferred Qualifications

  • AWS Certified Solutions Architect (Professional or Associate)
  • Microsoft Azure Solutions Architect Expert
  • Google Cloud Professional Cloud Architect

Skills

  • Experience with AI/ML integration in cloud environments, including use of models such as Claude or similar
  • Knowledge of security frameworks and compliance standards (NIST, CMMC, ISO, etc.)
  • Experience supporting regulated or security-sensitive environments

Benefits

  • Health, dental, and vision insurance
  • Employer-sponsored 401(k) plan
  • Paid time off
  • Professional development opportunities

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