Job Description
We are seeking a visionary Lead 2026 Architect to architect the infrastructure for the next generation of autonomous AI systems. In this pivotal role, you will define the technical roadmap for our proprietary Quantum-Neural integration platform, ensuring scalability, security, and performance at a global scale.
Join a team of elite engineers pushing the boundaries of what is possible in 2026 and beyond. You will work directly with C-level leadership to translate high-level strategic goals into robust, production-ready technical solutions.
Responsibilities
- Design and oversee the implementation of complex microservices architectures for high-frequency AI and quantum simulation workloads.
- Lead a cross-functional team of senior engineers, providing technical mentorship and ensuring code quality standards.
- Drive the adoption of cutting-edge technologies, including edge computing, federated learning, and next-gen cloud infrastructures.
- Collaborate with data scientists to translate theoretical algorithms into scalable, efficient software systems.
- Conduct rigorous architectural reviews and risk assessments to mitigate technical debt and system vulnerabilities.
- Establish and maintain best practices for CI/CD pipelines, automation, and observability.
Qualifications
- Master’s degree in Computer Science, Electrical Engineering, or a related field; PhD preferred.
- 10+ years of software engineering experience, with at least 5 years in a senior architecture or engineering management role.
- Deep expertise in Python, C++, and Rust, with experience in GPU acceleration (CUDA, OpenCL).
- Proven experience with Kubernetes, Docker, and major cloud providers (AWS, GCP, Azure).
- Strong understanding of distributed systems, database design, and high-availability patterns.
- Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.