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Information Technology 🏒 Full Time ⭐️ Verified

2026 Strategic Tech Lead

Horizon Systems Inc.
San Francisco
Estimated Salary
USD 185.000 – USD 275.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future? Horizon Systems Inc. is seeking a visionary 2026 Strategic Tech Lead to spearhead our next-generation infrastructure projects. In this pivotal role, you will bridge the gap between today's innovations and the technological landscape of 2026. We are building the foundation for a decentralized, AI-driven world, and we need a leader who can see beyond the horizon.

You will be responsible for defining the technical roadmap that defines our product line for the coming years. If you have a passion for cutting-edge technology and a proven track record of scaling enterprise solutions, this is your opportunity to make history.

Responsibilities

  • Define and execute the long-term technical strategy for the 2026 product suite.
  • Lead the architecture of scalable, high-performance systems integrating AI and IoT.
  • Mentor senior engineers and foster a culture of innovation and continuous learning.
  • Collaborate with product management to translate business goals into technical roadmaps.
  • Ensure compliance with emerging global technology standards and security protocols.
  • Drive the adoption of cloud-native technologies for maximum efficiency.

Qualifications

  • 10+ years of experience in software engineering, system architecture, or DevOps.
  • Proven experience leading technical teams in a fast-paced, agile environment.
  • Deep expertise in cloud platforms (AWS, Azure, or Google Cloud) and containerization (Docker/K8s).
  • Strong understanding of Artificial Intelligence, Machine Learning, and data pipelines.
  • Excellent communication skills with the ability to present complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related field is preferred.

Required Skills

System Architecture Artificial Intelligence Cloud Computing Kubernetes Agile Methodology DevOps Leadership

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