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Information Technology 🏢 Full Time ⭐️ Verified

Lead Architect: Project 2026 | San Francisco, CA

FutureCore Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Lead Architect to define the technical roadmap for our next-generation ecosystem, Project 2026. As we prepare to deploy AI-driven solutions that will redefine the industry, you will be at the helm of our engineering strategy.

Your mission is to design scalable, resilient, and high-performance infrastructure that meets the demands of a rapidly evolving digital landscape. If you are passionate about building the future and leading top-tier engineering talent, we want to hear from you.

Responsibilities

  • Architect the core infrastructure for Project 2026 and ensure alignment with long-term business goals.
  • Lead a high-performance team of engineers, fostering a culture of innovation, mentorship, and technical excellence.
  • Design and implement microservices using modern cloud-native technologies (Kubernetes, Docker, Serverless).
  • Collaborate with product managers and stakeholders to define technical roadmaps and deliverables.
  • Ensure system security, scalability, and performance optimization across global deployments.
  • Conduct regular code reviews and lead complex technical architecture sessions.
  • Drive the adoption of cutting-edge AI and Machine Learning frameworks within the team.

Qualifications

  • 10+ years of experience in software engineering and system architecture.
  • Expert proficiency in Python, Go, or Rust.
  • Strong background in Artificial Intelligence and Machine Learning infrastructure.
  • Deep understanding of distributed systems and major cloud platforms (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-growth environment.
  • Proven track record of leading technical teams through complex projects from conception to launch.
  • Experience with CI/CD pipelines and DevOps practices.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Go Rust Kubernetes Cloud Computing Agile Leadership

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