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Information Technology 🏢 Full Time ⭐️ Verified

Lead Strategic Architect (2026 Roadmap)

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Apex Horizon Technologies is a pioneer in next-generation computing. We are looking for a visionary Lead Strategic Architect to define and execute our technical roadmap leading up to the pivotal year of 2026.

In this high-impact role, you will be responsible for architecting the infrastructure that will power our future products. You will work closely with C-suite executives and product leads to ensure our technology stack is future-proof, scalable, and aligned with our long-term vision.

If you are passionate about the future of technology and thrive in a fast-paced, innovative environment, we want to hear from you.

Responsibilities

  • Define the 2026 Technical Roadmap: Lead the strategic planning and execution of our technical initiatives leading up to 2026, ensuring alignment with business goals.
  • Architect Future-Proof Systems: Design scalable, high-performance cloud architectures capable of supporting exponential growth.
  • Cross-Functional Leadership: Collaborate with product managers, engineering teams, and data scientists to integrate AI and machine learning into core products.
  • Technology Innovation: Evaluate emerging technologies (Quantum, Edge Computing) to determine feasibility for our 2026 portfolio.
  • Team Mentorship: Guide senior engineers and architects, fostering a culture of technical excellence and innovation.
  • Security & Compliance: Implement robust security protocols to protect sensitive data in a distributed environment.

Qualifications

  • Experience: 10+ years of experience in systems architecture, with at least 5 years in a leadership capacity.
  • Strategic Vision: Proven track record of defining long-term technical strategies (3+ year horizons).
  • Technical Stack: Deep expertise in AWS, Kubernetes, Microservices, and distributed systems.
  • AI/ML Integration: Experience integrating AI/ML models into production environments.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

AWS Kubernetes Microservices System Architecture Strategic Planning AI/ML Cloud Computing Python Java Leadership

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