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Information Technology 🏢 Full Time ⭐️ Verified

Lead Architect: 2026 Tech Roadmap | San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are seeking a visionary Lead Architect to spearhead our technology strategy leading up to and through the pivotal year of 2026. In this high-impact role, you will define the core infrastructure that will power our products for the next decade. You will bridge the gap between current capabilities and future 2026-era technologies, including advanced AI, quantum computing readiness, and next-generation cloud architectures.

Why Join Us?

  • Work at the forefront of future tech.
  • Competitive equity package.
  • Flexible remote-first culture.

The Role:

As the Lead Architect for our 2026 roadmap, you will be responsible for the architectural vision and technical standards of our flagship platforms. You will lead a team of senior engineers and ensure that our technology stack is scalable, secure, and future-proof.

Responsibilities

  • Define the 2026 Roadmap: Collaborate with C-suite executives to define the technology strategy and architectural vision for the 2026 release cycle and beyond.
  • System Architecture: Design and implement scalable, high-performance microservices architecture capable of handling next-gen AI workloads.
  • Technology Evaluation: Research and evaluate emerging technologies (Web3, Edge Computing, Generative AI) to determine feasibility for the 2026 product suite.
  • Team Leadership: Mentor a team of senior software engineers, conducting code reviews and architectural discussions to ensure best practices.
  • Security & Compliance: Implement robust security frameworks to protect user data and ensure compliance with evolving global regulations.

Qualifications

  • Experience: 10+ years of experience in software architecture, system design, and software engineering.
  • Tech Stack: Deep expertise in Python, Go, and Cloud-native technologies (AWS, Azure, or GCP).
  • AI Knowledge: Strong understanding of machine learning infrastructure and data pipelines.
  • Leadership: Proven track record of leading engineering teams through complex technical transformations.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).

Required Skills

System Architecture Cloud Computing AI/ML Infrastructure Python Go Microservices Kubernetes AWS Leadership

Ready to Take This Challenge?

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