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Information Technology 🏢 Full Time ⭐️ Verified

Lead Architect of Future Systems | 2026 Vision

OmniVerse Dynamics
San Francisco
Estimated Salary
USD 210.000 – USD 300.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

The Opportunity:

OmniVerse Dynamics is pioneering the next generation of infrastructure. We are seeking a visionary Lead Architect of Future Systems to define our technical roadmap through the pivotal year of 2026. You will be the architect of our digital evolution, bridging the gap between theoretical AI advancements and scalable production environments.

Why This Role?

This is not just a technical position; it is a strategic imperative. You will have the autonomy to shape the technology stack that will define the industry standard for 2026 and beyond.

What You'll Do:

We are looking for a hands-on leader who can translate complex futuristic concepts into executable engineering strategies.

Responsibilities

  • Define and execute the 2026 Technical Roadmap, prioritizing high-impact AI and quantum-ready infrastructure.
  • Architect scalable microservices and distributed systems capable of handling next-generation data loads.
  • Lead a team of senior engineers in the research and development of generative AI integration.
  • Collaborate with product leadership to ensure technical feasibility of 2026 product vision.
  • Establish best practices for cloud-native development and security protocols.
  • Identify emerging technologies and assess their viability for implementation.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in a leadership capacity.
  • Deep expertise in Artificial Intelligence, Machine Learning, and Big Data technologies.
  • Strong proficiency in Python, Go, or Rust, with experience in cloud platforms (AWS, GCP, or Azure).
  • Proven track record of leading high-performance engineering teams through complex digital transformations.
  • Exceptional problem-solving skills with a focus on long-term scalability.
  • Master's degree in Computer Science, Engineering, or a related field is preferred.

Required Skills

Software Architecture AI Strategy Machine Learning Python Cloud Infrastructure System Design Kubernetes Microservices

Ready to Take This Challenge?

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