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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect (2026 Roadmap)

OmniStream Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are looking for a visionary Future Systems Architect to lead our technical strategy and define the infrastructure landscape for 2026. In this pivotal role, you will bridge the gap between current engineering capabilities and future technological breakthroughs, ensuring our platforms are scalable, secure, and ready for the next generation of digital experiences.

At OmniStream, we don't just follow trends; we set them. You will collaborate with C-level executives and product teams to craft a robust 2026 roadmap, integrating cutting-edge AI and cloud technologies.

Responsibilities

  • Architect the 2026 Vision: Design the high-level system architecture that supports our 3-year strategic roadmap, focusing on scalability and future-proofing.
  • AI & ML Integration: Spearhead the integration of generative AI and machine learning models into core product workflows.
  • Cloud Infrastructure: Oversee the migration and optimization of our cloud-native ecosystem (AWS/Azure/GCP) to handle next-gen data loads.
  • Tech Stack Leadership: Evaluate and recommend emerging technologies, making data-driven decisions on tool adoption.
  • Cross-Functional Collaboration: Partner with product managers, designers, and engineers to translate business goals into technical solutions.

Qualifications

  • Strategic Experience: 10+ years of experience in software architecture, with at least 3 years in a leadership or strategic planning capacity.
  • Future-Ready Skills: Deep expertise in cloud architecture (Kubernetes, Docker, Microservices) and AI/ML frameworks.
  • Problem Solving: Demonstrated ability to solve complex technical challenges and anticipate future scalability issues.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s preferred).

Required Skills

System Architecture AI/ML Cloud Computing Kubernetes Docker Strategic Planning Python AWS

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