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Information Technology 🏢 Full Time ⭐️ Verified

Senior Technical Architect (2026 Readiness)

Nexus Systems
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Join the Future of Infrastructure

Nexus Systems is seeking a visionary Senior Technical Architect to spearhead our 2026 Readiness roadmap. In this pivotal role, you will design the architectural backbone for next-generation agentic AI systems, ensuring our platforms are scalable, secure, and future-proof. If you are passionate about pushing the boundaries of cloud computing and AI integration, we want to hear from you.

Why Nexus Systems?

As a leader in next-gen infrastructure, we are building the systems that will define the technological landscape of 2026. You will work with cutting-edge tools, collaborate with top-tier engineering talent, and directly influence the roadmap of enterprise-scale solutions.

Responsibilities

  • Design and oversee the implementation of enterprise-grade architecture for AI-driven applications, ensuring 2026 scalability standards.
  • Lead the migration strategy to quantum-ready cloud environments, optimizing for latency and throughput.
  • Collaborate with cross-functional teams to define technical requirements and roadmap strategies for upcoming product releases.
  • Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.
  • Conduct rigorous security audits and performance stress testing to ensure system resilience.
  • Drive the adoption of Agentic AI workflows and automation tools across the development lifecycle.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
  • Minimum of 8-10 years of experience in software architecture and system design.
  • Deep expertise in cloud platforms (AWS, Azure, or GCP) with a focus on serverless and containerized architectures.
  • Strong background in Artificial Intelligence and Machine Learning infrastructure (MLOps, TensorFlow, PyTorch).
  • Proven track record of leading teams in high-pressure environments and delivering complex projects on time.
  • Familiarity with edge computing and distributed systems protocols.

Required Skills

System Architecture Cloud Computing AWS Azure MLOps AI Python Kubernetes Docker Agile Agile Methodologies

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