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Information Technology 🏒 Full Time ⭐️ Verified

Future Systems Architect 2026

Horizon 2026 Technologies
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are pioneering the infrastructure of tomorrow. As a Future Systems Architect 2026, you will be at the forefront of designing resilient, scalable, and intelligent systems that define the next decade of technology. You will bridge the gap between theoretical innovation and practical application, ensuring our platforms remain ahead of the curve.


Join a team of visionaries dedicated to solving complex challenges with next-gen solutions. If you are passionate about the future of software engineering and have a knack for strategic planning, we want to hear from you.

Responsibilities

  • Architect and implement scalable system designs tailored for the technological landscape of 2026 and beyond.
  • Lead the migration and optimization of legacy systems to cloud-native environments with a focus on AI integration.
  • Define and enforce architectural standards, ensuring code quality, security, and performance across all projects.
  • Collaborate with cross-functional teams including product managers, designers, and engineers to drive product vision.
  • Conduct rigorous technical feasibility studies and risk assessments for new feature development.
  • Mentor and guide junior architects and engineers, fostering a culture of continuous learning and innovation.

Qualifications

  • 10+ years of experience in software architecture, system design, and software development.
  • Deep expertise in Cloud Native technologies (Kubernetes, Docker, AWS/Azure/GCP) and microservices architecture.
  • Strong proficiency in high-level programming languages (Python, Go, or Rust) and infrastructure as code (Terraform, Ansible).
  • Proven experience integrating Machine Learning models into production systems and big data pipelines.
  • Excellent leadership skills with a demonstrated ability to lead high-performing engineering teams.
  • Master’s degree in Computer Science, Engineering, or a related field is preferred.

Required Skills

System Architecture Kubernetes AWS Cloud Computing Machine Learning Integration Microservices Python Go Terraform Leadership

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