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Information Technology 🏢 Full Time ⭐️ Verified

Principal Architect: Project 2026

Quantum Horizon
Seattle
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the roadmap for the next decade? Quantum Horizon is seeking a visionary Principal Architect to spearhead Project 2026, our most ambitious AI infrastructure initiative to date. In this role, you will not just build software; you will architect the backbone of future-proof enterprise systems that redefine industry standards.

Working from our vibrant Seattle headquarters, you will lead a team of elite engineers in developing scalable, secure, and high-performance solutions. If you thrive in ambiguous environments and are passionate about pushing the boundaries of Generative AI and Quantum Computing integration, this is your opportunity to leave a lasting legacy.

Responsibilities

  • Lead Strategic Design: Define the high-level architecture for Project 2026, ensuring scalability, security, and performance across all layers.
  • Technical Vision: Translate complex business requirements into robust technical roadmaps and architectural patterns.
  • Team Leadership: Mentor senior engineers and architects, fostering a culture of innovation, collaboration, and continuous learning.
  • System Optimization: Oversee the implementation of microservices, containerization, and cloud-native strategies to minimize latency and maximize throughput.
  • Risk Management: Identify potential technical debt and architectural risks early, implementing mitigation strategies to ensure project stability.
  • Stakeholder Communication: Act as the primary technical liaison for executive stakeholders, presenting complex technical concepts in clear, business-driven language.

Qualifications

  • Experience: 10+ years of software engineering experience, with at least 5 years in a Senior or Principal Architect role.
  • Technical Stack: Deep expertise in Python, Go, or Rust, with proven experience in distributed systems and high-availability architectures.
  • Cloud Mastery: Extensive experience with AWS, Azure, or Google Cloud Platform, including serverless and container orchestration (Kubernetes/Docker).
  • AI Integration: Strong understanding of Machine Learning pipelines, LLMs, and how to integrate AI models into production environments.
  • Problem Solving: Exceptional ability to troubleshoot complex, multi-dimensional technical problems under pressure.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s preferred).

Required Skills

Artificial Intelligence Machine Learning System Architecture Cloud Computing Python Kubernetes Docker AWS Microservices Agile Scrum Leadership

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