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Information Technology 🏢 Full Time ⭐️ Verified

Strategic Technology Architect (2026 Horizon)

Apex Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 225.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the digital infrastructure of tomorrow? Apex Future Systems is seeking a visionary Strategic Technology Architect (2026 Horizon) to lead our decade-long roadmap.

In this pivotal role, you won't just maintain systems; you will architect the foundation for the next generation of enterprise technology. We are focusing heavily on the 2026 Horizon, prioritizing agentic AI, edge computing, and scalable cloud-native solutions. If you are passionate about the future of tech and want to leave a lasting legacy in the industry, we want to hear from you.

Why Join Us?

  • Work on high-impact, forward-thinking projects.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.

Responsibilities

  • Lead the 2026 Horizon Architecture: Define and oversee the technical vision for our 2026 strategic initiatives, ensuring alignment with business goals.
  • Design Scalable Systems: Architect resilient, high-performance microservices and distributed systems capable of handling exponential growth.
  • AI & Automation Integration: Spearhead the integration of Agentic AI workflows into core business processes to drive efficiency.
  • Cloud Strategy: Optimize cloud infrastructure (AWS/Azure) for cost-efficiency and security, managing migrations to serverless environments.
  • Technical Leadership: Mentor a team of senior engineers, conducting code reviews and fostering a culture of innovation.
  • Roadmap Execution: Collaborate with product managers to translate complex business requirements into actionable technical roadmaps.

Qualifications

  • Experience: 10+ years of experience in software engineering or systems architecture, with at least 3 years in a senior leadership role.
  • Tech Stack: Deep expertise in languages such as Python, Go, or Java, and containerization tools like Docker and Kubernetes.
  • AI Proficiency: Solid understanding of Machine Learning pipelines and Large Language Model (LLM) integration patterns.
  • Cloud Mastery: Certification in AWS or Azure and proven experience in designing cloud-native applications.
  • Soft Skills: Exceptional communication skills, with the ability to translate technical concepts for non-technical stakeholders.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).

Required Skills

System Architecture Cloud Computing (AWS/Azure) Kubernetes Python Go Machine Learning Agentic AI Microservices DevOps Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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