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Information Technology 🏒 Full Time ⭐️ Verified

2026 Advanced Systems Architect

Quantum Leap Dynamics
Austin
Estimated Salary
USD 190.000 – USD 260.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to architect the future?

Quantum Leap Dynamics is at the forefront of next-generation computing, and we are seeking a visionary 2026 Advanced Systems Architect to lead our infrastructure roadmap. In this pivotal role, you will define the technical standards for our upcoming generation of autonomous platforms, ensuring scalability, security, and innovation for the year ahead.

We are looking for a thought leader who thrives in ambiguity and possesses the foresight to bridge the gap between today's technologies and tomorrow's possibilities. Join a team where your work directly impacts the trajectory of the tech industry.

Responsibilities

  • Design and oversee the implementation of high-availability, distributed systems architecture for 2026 initiatives.
  • Lead cross-functional teams to define technical requirements and architectural patterns for emerging technologies.
  • Conduct rigorous code reviews and architectural assessments to ensure code quality and system stability.
  • Identify and mitigate technical risks and bottlenecks in the development lifecycle.
  • Collaborate with product managers to translate business requirements into robust technical solutions.
  • Drive innovation through research on cutting-edge technologies and frameworks.
  • Establish best practices for cloud infrastructure, security, and DevOps pipelines.

Qualifications

  • 10+ years of experience in systems architecture, software engineering, or related technical leadership roles.
  • Deep expertise in distributed systems, microservices, and cloud-native architectures (AWS, Azure, or GCP).
  • Proven track record of leading large-scale infrastructure projects and mentoring senior engineering teams.
  • Strong proficiency in programming languages such as Python, Go, or Java.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Experience with AI/ML infrastructure integration and edge computing.
  • Master’s degree in Computer Science, Engineering, or a related field is preferred.

Required Skills

System Architecture Cloud Computing Python Go Kubernetes Microservices DevOps AI Integration Leadership

Ready to Take This Challenge?

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