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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect (2026 Vision)

NexaCore Innovations
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you ready to architect the future? NexaCore Innovations is seeking a visionary Future Systems Architect to lead our mission for 2026. In this role, you will not just build systems; you will define the technological landscape of the next decade, leveraging AI, quantum-ready infrastructure, and next-gen cloud architectures.

We are looking for a thought leader who thrives on ambiguity and is obsessed with scalability, performance, and user experience. If you want to shape the roadmap that defines the future of tech, apply today.

Responsibilities

  • Lead the 2026 Technical Roadmap: Define and execute the long-term architectural vision for our flagship products, ensuring alignment with business goals and emerging tech trends.
  • Design Next-Gen Systems: Architect fault-tolerant, scalable systems capable of handling next-generation data loads and AI integration.
  • Cloud & Infrastructure Strategy: Oversee the migration and optimization of our cloud environments, focusing on Kubernetes, Serverless, and Edge Computing architectures.
  • R&D Leadership: Spearhead research initiatives into emerging technologies (e.g., Generative AI, Predictive Analytics) to maintain a competitive edge.
  • Team Mentorship: Mentor senior engineers and lead technical architecture reviews to ensure code quality and adherence to best practices.
  • Stakeholder Collaboration: Bridge the gap between engineering and product management to deliver high-impact technical solutions.

Qualifications

  • Experience: Minimum of 8 years of experience in software architecture and system design, with at least 3 years in a lead or architect role.
  • Technical Expertise: Deep knowledge of cloud platforms (AWS, Azure, or GCP), microservices, and containerization technologies (Docker, Kubernetes).
  • AI & Data: Strong understanding of AI/ML integration patterns and data engineering principles.
  • Problem Solving: Exceptional ability to solve complex architectural challenges with scalable, cost-effective solutions.
  • Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Required Skills

System Architecture Cloud Computing Kubernetes AWS Python AI Integration Microservices Scalability Leadership

Ready to Take This Challenge?

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