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Information Technology 🏢 Full Time ⭐️ Verified

Lead Systems Architect: 2026 Horizon

OmniVerse Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to architect the systems that will define the next decade? OmniVerse Dynamics is seeking a visionary Lead Systems Architect to pioneer our 2026 roadmap and build the infrastructure for tomorrow's digital world.

We are not just building software; we are engineering the future. In this pivotal role, you will lead a team of elite engineers in designing scalable, high-performance architectures that integrate AI, quantum computing, and next-gen cloud ecosystems. If you thrive in ambiguity and have a passion for future-proofing technology, this is your opportunity to leave a lasting legacy.

Why Join Us?

  • Shape the Future: Directly influence the strategic direction of our 2026 product suite.
  • Elite Team: Work alongside industry pioneers in a high-performance, remote-first culture.
  • Generous Compensation: Competitive salary, equity packages, and comprehensive benefits.

Responsibilities

  • Lead the end-to-end architectural design for OmniVerse's flagship products, ensuring alignment with the 2026 vision.
  • Define and enforce best practices for cloud infrastructure, security, and scalability.
  • Collaborate with cross-functional teams (Product, R&D, Design) to translate complex requirements into technical blueprints.
  • Oversee the migration of legacy systems to next-gen microservices architectures.
  • Mentor senior engineers and architects, fostering a culture of innovation and technical excellence.
  • Conduct rigorous code reviews and architectural assessments to mitigate technical debt.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Principal Engineer role.
  • Deep expertise in distributed systems, cloud architectures (AWS/Azure/GCP), and containerization technologies (Docker, Kubernetes).
  • Strong proficiency in modern programming languages such as Python, Go, or Rust.
  • Proven experience integrating Artificial Intelligence and Machine Learning models into production environments.
  • Experience with quantum computing frameworks (e.g., Qiskit, Cirq) is a significant plus.
  • Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Cloud Computing Kubernetes Python System Design Machine Learning AWS Microservices Architecture Quantum Computing

Ready to Take This Challenge?

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