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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect | 2026 Readiness

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

Job Description

Are you ready to architect the future?

Nexus Horizon is seeking a visionary Future Systems Architect to lead our initiatives in 2026 technology readiness. You will be at the forefront of designing scalable, secure, and intelligent infrastructure that prepares our enterprise for the next decade of innovation. This is an opportunity to shape the core of our technology stack in a dynamic, high-growth environment.

Why Join Us?

  • Work on cutting-edge projects that define the 2026 landscape.
  • Competitive compensation and equity package.
  • Remote-first culture with a hub in San Francisco.

We are looking for a leader who doesn't just write code, but envisions the systems that will power tomorrow.

Responsibilities

  • Architect Scalable Infrastructure: Design and implement robust cloud-native architectures that support high-traffic applications and seamless scalability for 2026 demands.
  • AI Integration Strategy: Lead the integration of Generative AI and Machine Learning models into core business processes to drive efficiency.
  • Security & Compliance: Establish rigorous security protocols and ensure full compliance with federal data protection regulations.
  • Tech Roadmap Planning: Define the technical strategy for the 2026 transition, evaluating emerging technologies like Quantum Computing and Edge AI.
  • Team Mentorship: Lead a team of senior engineers, fostering a culture of continuous learning and technical excellence.
  • Performance Optimization: Continuously monitor system health and optimize performance to ensure zero downtime.

Qualifications

  • Experience: 10+ years of experience in Systems Architecture, with at least 5 years in a senior leadership role.
  • Cloud Mastery: Deep expertise in AWS, Azure, or Google Cloud Platform (GCP).
  • Programming: Proficiency in Python, Go, or Rust, with experience in containerization (Docker/Kubernetes).
  • AI Knowledge: Strong understanding of LLMs, RAG pipelines, and AI model deployment.
  • Problem Solving: Proven track record of solving complex architectural challenges.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Required Skills

Python Go Rust AWS Azure Kubernetes Docker Machine Learning System Design Cloud Computing AI

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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