Job Description
NexaCore Technologies is pioneering the future of 2026 innovation. We are looking for a visionary Lead Architect to spearhead our strategic roadmap for the coming era of autonomous systems and quantum-ready infrastructure.
As the architect of our 2026 Vision, you will bridge the gap between theoretical breakthroughs and scalable production systems. This is not just a coding role; it is a leadership position defining the technological destiny of the next decade. If you are passionate about shaping the infrastructure of tomorrow, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the 2026 technological landscape.
- Competitive compensation package and equity options.
- Flexible remote-first culture with premium San Francisco amenities.
- Access to the latest AI and quantum computing tools.
Responsibilities
- Define Roadmap: Create and execute the 2026 Strategic Roadmap for core infrastructure scaling and architectural evolution.
- Lead Engineering: Mentor a cross-functional squad of engineers to deploy next-generation AI models and predictive systems.
- System Security: Ensure enterprise resilience against emerging threats in the post-quantum era and data privacy standards.
- Stakeholder Collaboration: Translate high-level business goals into robust, scalable technical architecture for the C-suite.
- Standardization: Establish coding standards and CI/CD pipelines that ensure longevity and maintainability for future systems.
- Innovation: Research and integrate emerging technologies to stay ahead of the curve for the 2026 release cycle.
Qualifications
- Education: Master’s degree in Computer Science, Systems Engineering, or a related field (PhD preferred).
- Experience: 10+ years of experience designing large-scale distributed systems and high-availability platforms.
- Technical Skills: Deep expertise in Python, Go, and containerization technologies (Docker, Kubernetes).
- Leadership: Proven track record of leading high-performance engineering teams and managing complex projects.
- AI/ML: Strong understanding of integrating AI/ML components within enterprise architecture.
- Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.