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Information Technology 🏢 Full Time ⭐️ Verified

Senior 2026 Systems Architect

Nebula Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the future? Nebula Horizon Labs is seeking a visionary Senior 2026 Systems Architect to lead our next-generation infrastructure initiatives. In this pivotal role, you will define the technical roadmap for the 2026 era, ensuring our platforms are scalable, secure, and ahead of the curve. If you thrive in ambiguity and have a passion for pushing the boundaries of what is possible in software engineering, we want to hear from you.

We offer a competitive salary, comprehensive benefits, and the opportunity to work with the brightest minds in the industry.

Responsibilities

  • Design and implement scalable, high-performance system architectures for future-ready applications.
  • Lead the technical strategy for the '2026' initiative, ensuring alignment with business goals.
  • Collaborate with cross-functional teams to drive innovation and optimize existing workflows.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Identify potential risks and develop mitigation strategies for emerging technologies.
  • Conduct deep-dive technical research to evaluate new tools and frameworks.

Qualifications

  • 10+ years of experience in software engineering and system architecture.
  • Strong proficiency in Python, Go, or Rust, with experience in cloud-native environments (AWS, Azure, GCP).
  • Deep understanding of microservices, containerization (Docker/Kubernetes), and CI/CD pipelines.
  • Proven track record of leading large-scale technical projects from conception to deployment.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.
  • BS in Computer Science or equivalent practical experience.

Required Skills

System Architecture Cloud Computing Python Go Kubernetes Microservices CI/CD AWS Agile Machine Learning (Basic)

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