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Information Technology 🏢 Full Time ⭐️ Verified

Lead 2026 Systems Architect

Quantum Horizon Labs
Austin
Estimated Salary
USD 160.000 – USD 230.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to architect the technological landscape of the future? Quantum Horizon Labs is seeking a visionary Lead 2026 Systems Architect to define the roadmap for our next-generation infrastructure. In this pivotal role, you will bridge the gap between today's capabilities and the transformative technologies of 2026.

We are not just building software; we are engineering the foundation for a smarter, more connected world. If you thrive in ambiguous environments and have a passion for pushing the boundaries of what is possible, we want to hear from you.

Why Join Us?

  • Work with cutting-edge AI and predictive modeling technologies.
  • Shape the strategic direction of our core platform.
  • Competitive compensation package and equity options.
  • Remote-first culture with a focus on work-life balance.

Responsibilities

  • Define and execute the technical architecture strategy for the 2026 roadmap, ensuring scalability and future-proofing.
  • Lead a cross-functional team of engineers and product managers to deliver high-impact solutions.
  • Design complex microservices and distributed systems using cloud-native technologies.
  • Conduct deep-dive technical research to evaluate emerging technologies for integration.
  • Establish coding standards, best practices, and architectural guidelines across the organization.
  • Drive technical decision-making and mentor junior architects to foster professional growth.
  • Collaborate with security teams to ensure robust data protection and compliance standards.

Qualifications

  • 10+ years of experience in systems architecture, with at least 5 years in a leadership role.
  • Strong proficiency in Python, Go, or Java, and experience with cloud platforms (AWS, Azure, or GCP).
  • Deep understanding of distributed systems, containerization (Docker/Kubernetes), and CI/CD pipelines.
  • Experience with AI/ML infrastructure and data pipeline architecture is highly preferred.
  • Excellent problem-solving skills with the ability to translate business requirements into technical solutions.
  • Strong communication skills, capable of presenting complex technical concepts to non-technical stakeholders.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Required Skills

System Architecture Cloud Computing Python Go Kubernetes AWS Microservices AI Infrastructure CI/CD Distributed Systems

Ready to Take This Challenge?

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