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Information Technology 🏒 Full Time ⭐️ Verified

Future Systems Architect | Project 2026

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join the Vanguard of the 2026 Vision. Nexus Horizon Technologies is pioneering the infrastructure for the next decade. We are looking for a visionary Future Systems Architect to lead the development of our Project 2026 ecosystem. In this high-impact role, you will define the architectural blueprint for scalable, AI-driven platforms that will define the future of global enterprise solutions.

You will work at the intersection of cloud-native design, advanced machine learning, and quantum-ready protocols. If you are passionate about solving complex problems and building systems that last, we want to hear from you.

Responsibilities

  • Lead the architectural strategy for Project 2026, ensuring scalability, security, and high availability across all distributed systems.
  • Design and implement microservices architectures that leverage the latest advancements in AI and edge computing.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical blueprints.
  • Establish and enforce coding standards, best practices, and governance frameworks for the engineering team.
  • Conduct rigorous technical assessments and proof-of-concept (PoC) validations for emerging technologies.
  • Mentor senior engineers and junior developers, fostering a culture of continuous innovation and technical excellence.

Qualifications

  • 10+ years of experience in systems architecture, with at least 3 years in a senior leadership role.
  • Deep expertise in designing and deploying large-scale cloud infrastructure (AWS, GCP, or Azure).
  • Strong proficiency in programming languages such as Python, Go, or Rust.
  • Experience with containerization (Docker/Kubernetes) and orchestration (Istio/Linkerd).
  • Proven track record of integrating AI/ML models into production environments.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related field is a plus.

Required Skills

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

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