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Information Technology 🏢 Full Time ⭐️ Verified

Lead Architect: Horizon 2026 Project | San Francisco

Apex Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Apex Dynamics and Architect the Future.

We are seeking a visionary Lead Architect to spearhead the Horizon 2026 initiative—a groundbreaking project designed to redefine the boundaries of artificial general intelligence and quantum-ready infrastructure. If you are a technical leader who thrives in ambiguity and is obsessed with building systems that last, this is your moment.

In this role, you will not just write code; you will define the architectural DNA of the next generation of enterprise solutions. You will work closely with C-level executives and research scientists to deliver a platform that is scalable, secure, and infinitely adaptable.

Responsibilities

  • Lead the Horizon 2026 Roadmap: Define the technical vision and architectural strategy for the 2026 release cycle, ensuring alignment with business goals.
  • System Design & Engineering: Design and oversee the implementation of distributed microservices and edge-computing architectures capable of processing petabytes of data.
  • Talent Development: Mentor a high-performing engineering team, fostering a culture of innovation, technical excellence, and continuous learning.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and security experts to integrate complex systems seamlessly.
  • Scalability & Performance: Ensure all systems are built for scale, optimizing for high availability and low-latency performance in global markets.
  • Risk Management: Identify potential technical debt and architectural risks early in the development lifecycle.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree is a plus.
  • Experience: 8+ years of experience in software architecture, with at least 3 years in a leadership or senior engineering role.
  • Technical Stack: Deep expertise in Python, Go, or Rust; extensive experience with Kubernetes, Docker, and cloud-native environments (AWS/GCP/Azure).
  • AI/ML Knowledge: Strong understanding of machine learning pipelines and neural network architectures.
  • Problem Solving: Demonstrated ability to solve complex, large-scale technical problems with elegant solutions.
  • Communication: Exceptional verbal and written communication skills, capable of translating technical concepts to non-technical stakeholders.

Required Skills

Kubernetes Docker Microservices Cloud Architecture Python Go Rust Machine Learning System Design AWS Leadership

Ready to Take This Challenge?

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