Job Description
We are seeking a visionary Future Tech Architect to lead the digital transformation for 2026. At Quantum Horizon Labs, we don't just build software; we engineer the infrastructure of tomorrow. If you are passionate about scalable systems, Generative AI integration, and building resilient cloud architectures, we want to meet you.
In this role, you will define the technical roadmap for our next-generation products, ensuring our platform remains at the cutting edge of innovation. You will work closely with product leaders to translate futuristic concepts into robust, production-ready engineering solutions.
Why Join Us?
- Work on projects that define the future of AI and automation.
- Competitive compensation and equity package.
- Remote-first culture with premium San Francisco amenities.
Responsibilities
- Architect Scalable Systems: Design and implement high-availability, low-latency microservices architectures capable of handling enterprise-scale traffic.
- AI Integration Strategy: Lead the integration of Generative AI models into core workflows, optimizing for performance and cost-efficiency.
- Tech Stack Leadership: Evaluate and adopt emerging technologies (e.g., Web3, Edge Computing) to ensure our platform stays ahead of the 2026 curve.
- Cloud Optimization: Manage cloud infrastructure on AWS or GCP, ensuring security compliance and cost-effective resource management.
- Team Mentorship: Conduct code reviews, architecture reviews, and mentor junior developers to foster a culture of technical excellence.
- Disaster Recovery: Develop and maintain robust disaster recovery plans and data integrity protocols.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience: 8+ years of experience in software engineering, with at least 3 years in a Lead or Architect role.
- Core Skills: Proficiency in Python, Java, or Go; extensive experience with RESTful APIs and GraphQL.
- Cloud Mastery: Deep understanding of AWS, Azure, or GCP, including containerization (Docker/Kubernetes) and serverless architecture.
- AI/ML Knowledge: Experience integrating AI models into production environments.
- Soft Skills: Exceptional communication skills with the ability to bridge the gap between technical and non-technical stakeholders.