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Information Technology 🏒 Full Time ⭐️ Verified

Project 2026 Lead Architect

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

We are seeking a visionary Project 2026 Lead Architect to spearhead the design and deployment of our next-generation AI infrastructure. At Apex Horizon Systems, we are not just building software; we are architecting the backbone of the future. This role requires a deep understanding of scalable systems, quantum-ready networks, and artificial intelligence integration.

In this pivotal position, you will bridge the gap between theoretical high-performance computing and practical, production-ready solutions. You will work alongside a world-class team of engineers to ensure our platforms are robust, secure, and capable of handling the demands of 2026 and beyond.

Responsibilities

  • Architect and design scalable, high-performance infrastructure for the Project 2026 ecosystem.
  • Lead a cross-functional team of engineers, developers, and data scientists to define technical standards and best practices.
  • Oversee the migration to cloud-native environments, optimizing latency and resource utilization.
  • Implement rigorous security protocols to protect sensitive data and ensure compliance with industry regulations.
  • Conduct code reviews and architectural assessments to ensure code quality and system integrity.
  • Define and execute a roadmap for technical innovation and system evolution.
  • Collaborate with stakeholders to translate business requirements into technical specifications.

Qualifications

  • 10+ years of experience in software architecture, with a focus on cloud computing and distributed systems.
  • Proven expertise in designing AI-integrated infrastructure and machine learning pipelines.
  • Strong proficiency in Kubernetes, Docker, and major cloud providers (AWS, Azure, or GCP).
  • Deep knowledge of programming languages such as Python, Go, or Rust.
  • Experience with quantum computing concepts or future-proofing network architectures is a plus.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.
  • Master’s degree in Computer Science, Engineering, or a related technical field.

Required Skills

Kubernetes AWS Python Machine Learning Cloud Architecture Docker Go Rust System Design AI Infrastructure

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