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Information Technology 🏢 Full Time ⭐️ Verified

Lead Systems Architect: The 2026 Initiative

Zai Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to build the foundation of tomorrow?

We are seeking a visionary Lead Systems Architect to spearhead the 2026 Initiative, a groundbreaking project aimed at redefining next-generation AI-driven infrastructure. In this pivotal role, you will design scalable, secure, and high-performance systems that will power the future of enterprise technology.

At Zai Future Labs, we don't just follow trends; we set them. If you thrive in fast-paced environments and are passionate about pushing the boundaries of what is possible in 2026, we want to hear from you.

Responsibilities

  • Architectural Leadership: Design and oversee the end-to-end architecture for the 2026 Initiative, ensuring high availability, scalability, and security.
  • Technical Strategy: Define technical roadmaps and best practices for cloud-native environments, microservices, and AI integration.
  • Team Mentorship: Lead a team of senior engineers and developers, providing technical guidance and fostering a culture of innovation.
  • Stakeholder Collaboration: Work closely with product managers, data scientists, and C-suite executives to translate business requirements into technical solutions.
  • Performance Optimization: Continuously monitor system performance, identify bottlenecks, and implement optimizations to ensure seamless user experiences.
  • Legacy Migration: Lead the strategic migration of legacy systems to modern, future-proof infrastructure.

Qualifications

  • Experience: 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Technical Lead role.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree is a plus.
  • Technologies: Deep expertise in Kubernetes, Docker, AWS/Azure/GCP, and modern programming languages (Python, Go, or Java).
  • AI & ML: Strong understanding of machine learning pipelines and AI model deployment strategies.
  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Certifications: AWS Solutions Architect or Azure Solutions Expert certification preferred.

Required Skills

Kubernetes Docker AWS Python Go Machine Learning Cloud Architecture System Design Leadership

Ready to Take This Challenge?

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