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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready Systems Architect

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

The Future is 2026.

Nexus Horizon is at the forefront of technological evolution, building the infrastructure that will define the next decade. We are seeking a visionary Future-Ready Systems Architect to spearhead our architectural strategy, bridging the gap between current AI capabilities and the exponential advancements expected by 2026.

In this role, you won't just maintain systems; you will architect the very foundation upon which the future of enterprise software is built. You will work with cutting-edge technologies to solve complex scalability challenges and drive innovation.

Responsibilities

  • Architect Next-Gen Solutions: Design scalable, resilient, and secure microservices architectures tailored for high-performance AI workloads and quantum computing integration.
  • Lead Strategic Innovation: Define the technical roadmap for 2026, identifying emerging technologies (Web3, Edge AI) and integrating them into our core stack.
  • Optimize Performance: Oversee the implementation of CI/CD pipelines and containerization strategies (Kubernetes/Docker) to ensure zero-downtime deployments.
  • Cross-Functional Collaboration: Partner with Product Managers and Data Scientists to translate complex business requirements into robust technical specifications.
  • Security & Compliance: Implement enterprise-grade security protocols and ensure compliance with evolving data protection regulations.

Qualifications

  • Experience: 8+ years of professional software engineering and system architecture experience, with at least 3 years in a leadership capacity.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Cloud Mastery: Deep expertise in major cloud providers (AWS, Azure, or GCP) and infrastructure as code (Terraform, CloudFormation).
  • Programming: Proficiency in high-performance languages such as Python, Go, or Rust.
  • AI/ML Integration: Demonstrated experience integrating AI/ML models into production environments and optimizing inference performance.

Required Skills

AWS Kubernetes Docker Python Go AI/ML Microservices System Architecture Terraform Cloud Computing

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