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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect (2026) - San Francisco, CA

Apex Horizon Tech
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Future Systems Architect to lead the design and implementation of next-generation infrastructure for the year 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical innovation and practical deployment, ensuring our platforms are resilient, scalable, and ahead of the curve.

At Apex Horizon Tech, we don't just follow trends; we set them. You will work with cutting-edge teams to define the architectural standards for our AI-driven ecosystem.

Responsibilities

  • Define the technical roadmap and architectural strategy for our 2026 product suite, focusing on scalability and performance.
  • Lead the migration of legacy systems to modern, serverless architectures, ensuring zero downtime.
  • Collaborate with cross-functional teams (AI, Security, Product) to integrate advanced machine learning models into core services.
  • Establish best practices for code quality, security, and deployment automation.
  • Mentor senior engineers and conduct technical reviews to foster a culture of excellence.
  • Conduct rigorous load testing and stress analysis to guarantee system stability under peak traffic.
  • Research and evaluate emerging technologies to drive innovation within the organization.

Qualifications

  • 10+ years of experience in software architecture and system design.
  • Deep expertise in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Strong proficiency in programming languages such as Go, Rust, or Python.
  • Proven track record of leading large-scale, high-availability distributed systems.
  • Experience with AI/ML infrastructure and MLOps pipelines.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • BS or MS in Computer Science, Engineering, or a related technical field.

Required Skills

System Architecture Cloud Computing Kubernetes Python AI Infrastructure DevOps MLOps Scalability

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