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Information Technology 🏢 Full Time ⭐️ Verified

Senior 2026 Systems Architect

Nexus Future Labs
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 engineer the infrastructure of tomorrow? Nexus Future Labs is seeking a visionary Senior 2026 Systems Architect to lead our next-generation technology roadmap. In this high-impact role, you will define the technical blueprint for our 2026 product lines, integrating cutting-edge AI, quantum-ready frameworks, and scalable cloud solutions. You will be at the forefront of innovation, ensuring our systems are not only robust today but are future-proofed for the challenges of the next decade. If you are a thought leader passionate about pushing the boundaries of what is possible in software engineering, we want to meet you.

Responsibilities

  • Design and oversee the deployment of scalable, futuristic software architectures aligned with the 2026 strategic roadmap.
  • Lead a team of senior engineers in integrating AI-driven workflows and edge computing into legacy systems.
  • Ensure high availability, security, and performance of mission-critical infrastructure across global regions.
  • Collaborate closely with product management and data science teams to translate business goals into technical specifications.
  • Drive architectural decision-making, conducting code reviews, and establishing best practices for the engineering organization.
  • Research and prototype emerging technologies to maintain a competitive edge in the market.

Qualifications

  • 10+ years of experience in systems architecture, full-stack development, and cloud infrastructure.
  • Deep expertise in Python, Go, or Rust, with hands-on experience with Kubernetes and containerization.
  • Strong proficiency in AWS, Azure, or Google Cloud Platform (GCP) with experience in serverless architectures.
  • Proven track record of leading cross-functional teams and mentoring junior to mid-level engineers.
  • Experience with AI/ML frameworks (TensorFlow, PyTorch) and big data processing technologies.
  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).

Required Skills

Python Go Kubernetes AWS System Architecture AI Machine Learning Cloud Computing Python Rust Kubernetes AWS System Architecture AI Machine Learning Cloud Computing

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