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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect (2026 Initiative)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are pioneering the next generation of digital infrastructure. As a Future Systems Architect (2026 Initiative), you will define the architectural backbone for our upcoming AI-driven platforms. This is not just a job; it's a mission to engineer the technology landscape of tomorrow.

Join us in San Francisco to lead complex system integrations, optimize cloud scalability, and implement cutting-edge security protocols that will define the industry standard for 2026 and beyond.

Responsibilities

  • Architect the 2026 Roadmap: Design and implement the long-term technical vision, ensuring scalability, security, and performance for future growth.
  • Cloud Infrastructure Leadership: Spearhead the migration and optimization of our AWS and Kubernetes environments to support high-throughput AI workloads.
  • System Integration: Oversee the integration of emerging technologies, including Generative AI and Edge Computing, into our existing product suite.
  • Technical Mentorship: Guide a team of senior engineers and developers, fostering a culture of innovation and best practices.
  • Cross-Functional Collaboration: Work closely with product managers and data scientists to translate business requirements into robust technical solutions.
  • Security & Compliance: Ensure all systems adhere to strict cybersecurity standards and industry regulations.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field; Master’s degree is a strong plus.
  • Experience: 8+ years of experience in Systems Architecture, with at least 3 years in a leadership or senior engineering role.
  • Technical Skills: Deep expertise in distributed systems, microservices, and cloud platforms (AWS, Azure, or GCP).
  • Programming: Proficiency in Python, Go, or Java, with experience in modern CI/CD pipelines.
  • AI Knowledge: Understanding of machine learning infrastructure and data pipeline architecture.
  • Problem Solving: Exceptional ability to troubleshoot complex issues and design resilient systems.

Required Skills

System Architecture Cloud Computing (AWS/Azure) Kubernetes Python Go AI Infrastructure Microservices CI/CD Security

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