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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Systems Architect

Nexus 2026 Labs
New York
Estimated Salary
USD 140.000 – USD 180.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to build the infrastructure of tomorrow? Nexus 2026 Labs is pioneering the next generation of technological advancements, and we are seeking a visionary **Future Tech Systems Architect** to lead our core development initiatives. In this role, you will bridge the gap between cutting-edge AI research and scalable production environments. Join a team dedicated to defining the technological landscape of the year 2026 and beyond.

Responsibilities

  • Design and architect scalable, high-performance cloud-native systems tailored for AI and machine learning workloads.
  • Lead the migration of legacy infrastructure to next-generation microservices architectures using Docker and Kubernetes.
  • Collaborate with cross-functional teams of data scientists and quantum computing researchers to integrate novel algorithms into core platforms.
  • Implement robust security protocols and data governance frameworks to protect sensitive future-tech assets.
  • Optimize system performance and ensure 99.99% uptime for critical global platforms.
  • Mentor junior engineers and establish best practices for scalable software engineering.

Qualifications

  • Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
  • 5+ years of professional experience in software architecture, with a strong focus on cloud platforms (AWS, Azure, or GCP).
  • Deep expertise in programming languages such as Python, Java, or Go.
  • Proven experience designing systems that handle high concurrency and massive data throughput.
  • Strong understanding of machine learning pipelines and data engineering principles.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Java Cloud Architecture AWS Docker Kubernetes Machine Learning System Design Microservices

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