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Information Technology 🏢 Full Time ⭐️ Verified

Senior Architect: Project 2026 (San Francisco, CA)

Quantum Leap Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join the Vanguard of the 2026 Initiative

We are seeking a visionary Senior Architect to lead the technical strategy for Project 2026. As a pioneer in next-generation autonomous systems, our mission is to engineer a future-proof infrastructure capable of handling the complexities of tomorrow's data landscape. If you thrive in high-stakes environments and are passionate about shaping the technological roadmap for 2026, we want to hear from you.

Why Join Us?

  • Impactful Work: Directly influence the core architecture of a platform that will define the next decade of technology.
  • Top-Tier Team: Collaborate with industry leaders in AI, Quantum Computing, and Distributed Systems.
  • Equity & Benefits: Competitive compensation package including stock options and comprehensive health benefits.

Responsibilities

  • Define the Vision: Architect the end-to-end technical strategy for Project 2026, ensuring scalability, security, and performance.
  • Lead Technical Excellence: Provide hands-on technical guidance to engineering teams, conducting code reviews and architectural discussions.
  • Bridge the Gap: Translate complex business requirements into robust technical solutions and system designs.
  • Future-Proofing: Identify emerging technologies and trends (e.g., Post-Quantum Cryptography, Edge AI) to integrate into the 2026 roadmap.
  • Mentorship: Foster a culture of continuous learning and mentorship within the engineering department.

Qualifications

  • Experience: Minimum of 8+ years of experience in software architecture, with at least 3 years in a senior leadership or architect role.
  • Technical Stack: Deep expertise in cloud-native architectures (AWS, Azure, or GCP), microservices, and containerization (Kubernetes/Docker).
  • Programming: Proficiency in languages such as Go, Rust, Python, or Java.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous technical challenges with innovative solutions.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Required Skills

Cloud Architecture Kubernetes Microservices AI/ML Integration System Design Python Go AWS Docker Leadership

Ready to Take This Challenge?

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