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Information Technology 🏒 Full Time ⭐️ Verified

Project 2026 Systems Architect

Nexus Horizon
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Nexus Horizon is at the forefront of the digital revolution with our proprietary Project 2026 initiative. We are building the foundational infrastructure for next-generation autonomous systems, and we are seeking a visionary Systems Architect to lead the technical strategy and execution.

In this pivotal role, you will not just write code; you will define the architecture that powers the future of enterprise automation. You will be responsible for designing robust, scalable, and secure systems that integrate seamlessly with our cutting-edge AI models. If you are a technologist who thrives on complexity and innovation, this is your opportunity to leave a lasting legacy.

What You Will Do:

β€’ Architect the core backbone of Project 2026, ensuring high availability and fault tolerance.

β€’ Drive the adoption of microservices and containerization technologies (Kubernetes/Docker).

β€’ Collaborate with R&D teams to translate advanced AI concepts into production-ready infrastructure.

β€’ Establish security protocols and compliance standards for enterprise-grade systems.

Responsibilities

  • Design and implement scalable distributed systems architecture for Project 2026.
  • Lead the technical strategy for cloud infrastructure migration and optimization.
  • Oversee the implementation of CI/CD pipelines and DevOps best practices.
  • Conduct architectural reviews and code audits to ensure quality and security.
  • Mentor senior engineers and foster a culture of innovation and technical excellence.
  • Identify technical risks and develop mitigation strategies for long-term projects.

Qualifications

  • Master’s degree in Computer Science, Engineering, or a related technical field (PhD preferred).
  • 10+ years of experience in software architecture and system design.
  • Expert proficiency in programming languages such as Python, Go, or Java.
  • Deep experience with cloud platforms (AWS, Azure, or GCP) and containerization.
  • Strong background in Machine Learning infrastructure and data engineering pipelines.
  • Exceptional leadership and communication skills.

Required Skills

System Architecture Cloud Computing AWS Kubernetes Python Machine Learning Infrastructure DevOps Microservices

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