Job Description
Are you ready to architect the future? Quantum Leap Systems is seeking a visionary Head of Strategic Infrastructure 2026 to lead our mission-defining roadmap. As we accelerate toward a post-silicon era, we need a leader who can bridge the gap between cutting-edge emerging technologies and scalable operational excellence.
In this pivotal role, you will define the technical vision for our 2026 roadmap, ensuring our infrastructure is not just future-proof, but future-ready. You will oversee a global team of engineers and architects dedicated to deploying next-generation computing solutions. If you are a strategic thinker with a deep technical background in AI and Cloud Native technologies, this is your opportunity to shape the industry standard.
Why Join Us?
- Work at the intersection of AI, Quantum, and Cloud Computing.
- Competitive equity package and performance bonuses.
- Flexible remote-first culture with top-tier benefits.
Responsibilities
- Define and execute the 2026 Strategic Roadmap for enterprise infrastructure, aligning technical capabilities with business growth objectives.
- Architect and manage the deployment of next-generation cloud-native environments, ensuring high availability and fault tolerance at scale.
- Lead a diverse team of DevOps engineers, Site Reliability Engineers, and Cloud Architects to drive innovation in automation and CI/CD pipelines.
- Collaborate with product leadership to integrate emerging technologies, such as Generative AI and Edge Computing, into our core infrastructure.
- Ensure robust cybersecurity protocols and data governance frameworks are implemented across all global data centers.
- Drive cost optimization strategies without compromising performance or innovation velocity.
Qualifications
- 10+ years of experience in software engineering, systems architecture, or IT infrastructure management.
- Proven track record of leading technical roadmaps for large-scale enterprise environments (experience with 2026-ready technologies preferred).
- Deep expertise in cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes, Docker).
- Strong background in AI/ML infrastructure, data pipelines, and high-performance computing.
- Excellent leadership and communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.
- Master's degree in Computer Science, Engineering, or a related field is a plus.