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Information Technology 🏢 Full Time ⭐️ Verified

Project 2026 Lead Architect | San Francisco, CA

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Project 2026 Lead Architect to spearhead our most ambitious initiative yet. At Apex Horizon Systems, we are not just building for today; we are architecting the digital landscape of tomorrow. As part of the '2026' core team, you will define the technical and strategic roadmap for our next-generation platform, integrating cutting-edge AI, quantum-ready infrastructure, and immersive user experiences.

In this pivotal role, you will bridge the gap between high-level strategy and execution, collaborating with cross-functional squads to deliver scalable, robust solutions. If you are passionate about the future of technology and possess the ability to lead complex transformations, we want to hear from you.

Why Join Us?

  • Work on the forefront of technological innovation.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.

Responsibilities

  • Define and communicate the comprehensive technical vision for the '2026' project roadmap.
  • Lead the architecture and design of scalable, high-performance systems ensuring security and reliability.
  • Collaborate with product managers, engineers, and designers to translate business requirements into technical solutions.
  • Mentor senior engineers and foster a culture of technical excellence and continuous learning.
  • Identify and mitigate technical risks and architectural debt across the organization.
  • Stay ahead of industry trends to ensure our solutions remain state-of-the-art.

Qualifications

  • 10+ years of experience in software engineering, system architecture, or technical leadership.
  • Proven track record of leading large-scale technical projects from concept to deployment.
  • Deep expertise in cloud-native architectures (AWS, Azure, or GCP) and containerization (Kubernetes/Docker).
  • Strong understanding of AI/ML integration and scalable data systems.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s preferred).
  • Exceptional problem-solving skills and the ability to make high-impact decisions under pressure.

Required Skills

System Architecture Cloud Computing AI/ML Kubernetes Agile Leadership Strategic Planning

Ready to Take This Challenge?

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