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Information Technology 🏢 Full Time ⭐️ Verified

2026 Enterprise Cloud Architect

FutureTech Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Are you ready to build the future? At FutureTech Solutions, we are actively preparing our enterprise infrastructure for the next wave of technological evolution. We are seeking a visionary 2026 Enterprise Cloud Architect to lead our transition into next-generation AI integration, edge computing, and quantum-ready cloud environments.

In this high-impact role, you will not just maintain the status quo; you will design the blueprint for our 2026 infrastructure. You will work alongside elite engineering teams to ensure our platforms are infinitely scalable, highly secure, and optimized for the AI-driven landscape of tomorrow. If you are a forward-thinking technologist who thrives on innovation, we want you on our team.

Responsibilities

  • Design and implement cutting-edge, 2026-ready enterprise cloud architectures across multi-cloud environments (AWS, Azure, GCP).
  • Lead the strategic integration of advanced AI and machine learning pipelines into core business operations.
  • Develop comprehensive roadmaps for edge computing deployment and quantum-readiness.
  • Collaborate with executive leadership to align technical infrastructure with long-term business objectives.
  • Establish governance frameworks ensuring future compliance with upcoming 2026 global data and privacy regulations.
  • Mentor and elevate internal engineering teams on next-gen architectural best practices and modern DevOps methodologies.
  • Evaluate and integrate emerging technologies to continuously optimize performance, cost, and security.

Qualifications

  • 10+ years of experience in enterprise architecture, cloud engineering, or a related technical leadership field.
  • Proven expertise in designing highly scalable, distributed systems on major cloud platforms (AWS, Azure, or GCP).
  • Deep understanding of AI/ML infrastructure requirements, MLOps, and data lakehouse architectures.
  • Strong knowledge of edge computing, IoT infrastructure, and modern containerization (Kubernetes, Docker).
  • Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent practical experience.
  • Relevant cloud architecture certifications (e.g., AWS Solutions Architect Professional, Google Cloud Professional Cloud Architect).

Required Skills

Cloud Architecture AWS Azure GCP AI Infrastructure Edge Computing Quantum Readiness Kubernetes MLOps Strategic Leadership

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