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Information Technology 🏢 Full Time ⭐️ Verified

Lead 2026 Readiness Architect

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are at the precipice of a new era. Nexus Horizon Systems is seeking a visionary Lead 2026 Readiness Architect to spearhead our infrastructure modernization efforts. You will bridge the gap between current capabilities and the technological demands of the year 2026, ensuring our platforms are scalable, secure, and future-proof.

In this high-impact role, you will not just maintain systems; you will architect the very foundation of our next decade. Join us in shaping the digital landscape of tomorrow, today.

Responsibilities

  • Architect Scalable Systems: Design and implement robust technical roadmaps specifically tailored for the infrastructure demands of 2026, including AI-driven predictive maintenance.
  • Lead Strategic Innovation: Identify emerging technologies and trends relevant to the 2026 timeframe, integrating them into our core product architecture.
  • Oversee System Modernization: Manage the migration of legacy systems to microservices architectures that support high-frequency trading and real-time data processing.
  • Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Security & Compliance: Ensure all systems adhere to future-proof security protocols and regulatory standards.

Qualifications

  • Experience: 10+ years of experience in System Architecture, with at least 3 years in a leadership capacity overseeing large-scale technical projects.
  • Technical Stack: Proficiency in Python, TensorFlow, Kubernetes, and AWS/Azure cloud infrastructure.
  • Future-Forward Thinking: Deep understanding of AI integration, edge computing, and the specific challenges of preparing systems for the 2026 digital landscape.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Problem Solving: Exceptional ability to troubleshoot complex, multi-layered system failures under high-pressure scenarios.

Required Skills

System Architecture Python AI Integration Kubernetes AWS Cloud Computing Leadership Microservices Data Engineering

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