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Information Technology 🏢 Full Time ⭐️ Verified

Senior Architect: 2026 Technology Roadmap

Quantum Leap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are seeking a visionary Senior Architect to lead our technology roadmap for the upcoming 2026 era. As a key player in our Innovation Division, you will define the technical strategies that will define our products for the next three years. If you are passionate about the future of AI, scalable cloud infrastructure, and next-gen spatial computing, this is your opportunity to shape the future.

Why Join Us?

  • Impactful Work: Directly influence the core architecture that powers millions of users.
  • Future-Proofing: Work at the forefront of emerging technologies (GenAI, Quantum-ready Cloud, Edge Computing).
  • Competitive Package: Comprehensive benefits, equity options, and continuous learning budgets.

Quantum Leap Innovations is an equal opportunity employer committed to diversity and inclusion.

Responsibilities

  • Define and oversee the 2026 Technology Roadmap, ensuring alignment with business goals and market trends.
  • Architect high-scale, resilient systems capable of supporting next-gen AI workloads and data processing.
  • Lead the migration strategy towards future-proof cloud-native infrastructures (Kubernetes, Serverless).
  • Mentor engineering teams on best practices for security, performance, and scalability.
  • Collaborate with product managers to translate complex business requirements into technical specifications.
  • Drive research and development initiatives into emerging technologies (e.g., Neural Interfaces, Advanced LLMs).

Qualifications

  • 10+ years of experience in software architecture, with at least 3 years in a Lead or Principal capacity.
  • Deep expertise in Generative AI and Large Language Model (LLM) integration.
  • Proficiency in designing microservices and distributed systems using Go, Rust, or Python.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) with a focus on serverless architectures.
  • Experience in implementing AI governance, security, and ethical guidelines.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Required Skills

Software Architecture Generative AI Cloud Computing Kubernetes Microservices System Design Python Rust Leadership AI Governance

Ready to Take This Challenge?

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