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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect (2026)

Nexus Horizon Labs
Austin
Estimated Salary
USD 150.000 – USD 200.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are looking for a visionary Future Systems Architect (2026) to lead our charge into the next era of digital transformation. At Nexus Horizon Labs, we are not just building software for today; we are engineering the infrastructure for the year 2026 and beyond. You will be at the forefront of integrating Generative AI, Quantum-ready architectures, and sustainable cloud computing into scalable production environments.


In this role, you will bridge the gap between theoretical innovation and practical application. You will define the architectural standards that will govern our products for the next decade, ensuring our systems are resilient, intelligent, and future-proof.


Why Join Us?

  • Work on projects that define the future of human-computer interaction.
  • Competitive compensation package with equity opportunities.
  • Flexible remote-first policy with state-of-the-art offices in Austin.

Responsibilities

  • Architectural Vision: Design and implement high-level system architecture for next-generation AI platforms and predictive analytics tools.
  • AI Integration: Lead the integration of LLMs and Machine Learning pipelines into core enterprise systems.
  • Scalability: Ensure system scalability, high availability, and fault tolerance across global distributed networks.
  • Security & Compliance: Enforce rigorous security protocols and ensure compliance with emerging data privacy regulations.
  • Team Leadership: Mentor senior engineers and drive technical decision-making within a cross-functional agile team.
  • Future-Proofing: Research emerging technologies (e.g., Web3, Edge Computing) and prototype their potential application within our roadmap.

Qualifications

  • Experience: 8+ years of experience in software engineering and system architecture, with at least 3 years in a lead or architect role.
  • Technical Stack: Deep expertise in Python, Go, or Rust, with proficiency in cloud platforms (AWS, GCP, or Azure).
  • AI Knowledge: Strong understanding of Large Language Models (LLMs), vector databases, and MLOps pipelines.
  • Problem Solving: Proven track record of solving complex technical challenges in high-scale environments.
  • Communication: Excellent ability to articulate complex technical concepts to non-technical stakeholders.
  • Certifications: AWS Certified Solutions Architect or equivalent is highly preferred.

Required Skills

Python Go Rust AWS GCP Azure Kubernetes Docker Machine Learning MLOps System Architecture Generative AI

Ready to Take This Challenge?

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