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Information Technology 🏢 Full Time ⭐️ Verified

Senior 2026 Systems Architect

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Quantum Horizon Labs is at the forefront of the technological revolution. As we look toward the year 2026, we are seeking a visionary Senior 2026 Systems Architect to build the scalable, resilient infrastructure that will power the next generation of enterprise AI.

In this pivotal role, you will bridge the gap between theoretical future tech and practical application. You will not just maintain legacy systems; you will architect the foundation for a quantum-ready, AI-native ecosystem. We are looking for a leader who thrives on ambiguity and is passionate about shaping the digital landscape of tomorrow.

Why join us?

  • Work with cutting-edge technology focused on the 2026 roadmap.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with a hub in the heart of San Francisco.
  • Access to the latest AI and quantum computing tools.

Responsibilities

  • Design and implement a long-term technical architecture roadmap aligned with 2026 technology trends, including AI integration and quantum readiness.
  • Spearhead the migration of core services to edge computing environments for low-latency applications.
  • Lead the architecture and implementation of scalable microservices and serverless functions.
  • Mentor a team of senior engineers and architects, fostering a culture of technical excellence and innovation.
  • Collaborate with product leaders to define technical requirements that drive business growth.
  • Ensure system security, compliance, and high availability across all global deployments.
  • Conduct rigorous code reviews and architectural assessments to prevent technical debt.

Qualifications

  • 10+ years of experience in Enterprise Architecture, System Design, or Software Engineering.
  • Deep expertise in designing for AI/ML infrastructure and large-scale data processing.
  • Strong proficiency in cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes, Docker).
  • Experience with modern programming languages (Python, Go, Rust, or TypeScript).
  • Understanding of quantum computing concepts or advanced edge computing architectures.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Proven track record of leading cross-functional teams through complex technical transitions.

Required Skills

AI Machine Learning Cloud Architecture Kubernetes Docker Python System Design Microservices Edge Computing Quantum Computing

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