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Information Technology 🏒 Full Time ⭐️ Verified

Lead Systems Architect (2026 Roadmap)

OmniFuture Industries
Seattle
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to architect the future? OmniFuture Industries is seeking a visionary Lead Systems Architect to spearhead the technological roadmap for the year 2026 and beyond. In this high-impact role, you will design the infrastructure that powers next-generation AI, IoT, and sustainable energy solutions. You won't just be building software; you will be building the foundation for the future of human connectivity.

Why Join Us?

  • Work on cutting-edge projects that define the 2026 technological landscape.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first policy with a state-of-the-art office in Seattle.
  • Access to the latest quantum computing resources and AI frameworks.

We are looking for a strategic thinker who combines deep technical expertise with a passion for solving complex global challenges.

Responsibilities

  • Architect Next-Gen Systems: Design scalable, high-availability cloud architectures for mission-critical AI and IoT applications.
  • Roadmap Execution: Translate the 2026 strategic vision into concrete technical roadmaps and architectural standards.
  • Technology Innovation: Evaluate and integrate emerging technologies (e.g., edge computing, federated learning) to drive product differentiation.
  • Team Leadership: Mentor a team of senior engineers and developers, fostering a culture of innovation and excellence.
  • Security & Compliance: Implement enterprise-grade security protocols and ensure compliance with global data regulations.

Qualifications

  • Education: Master’s degree in Computer Science, Systems Engineering, or a related field (PhD preferred).
  • Experience: 10+ years of experience in software architecture, with at least 5 years in a leadership role.
  • Technical Stack: Proficiency in cloud platforms (AWS, Azure, or GCP), containerization (Kubernetes, Docker), and microservices.
  • AI/ML Knowledge: Strong understanding of machine learning pipelines and large-scale data processing.
  • Soft Skills: Exceptional communication skills with the ability to bridge the gap between technical and non-technical stakeholders.

Required Skills

System Architecture Cloud Computing AWS Kubernetes Python Machine Learning Leadership Agile IoT Security

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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