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Information Technology 🏒 Full Time ⭐️ Verified

Lead Architect: 2026 Vision

Orbital Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Orbital Dynamics is pioneering the next generation of intelligent infrastructure. We are seeking a visionary Lead Architect: 2026 Vision to spearhead the technological roadmap that will define our industry in the coming years.

In this high-impact role, you will bridge the gap between cutting-edge AI research and scalable, production-grade software systems. You will be responsible for architecting the platforms that will power our clients into the future. This is an opportunity to lead a team of elite engineers and shape the technological landscape of 2026 and beyond.

Why Join Us?

  • Work on mission-critical projects that redefine industry standards.
  • Competitive compensation package including equity.
  • Unlimited PTO and top-tier health benefits.
  • Access to the latest hardware and research tools.

Responsibilities

  • Define and execute the long-term technical architecture for the '2026' product suite, focusing on AI integration and scalability.
  • Lead a high-performing team of senior engineers, providing mentorship and architectural guidance.
  • Translate high-level business requirements into robust, secure, and scalable technical blueprints.
  • Oversee the entire software development lifecycle, from initial design to deployment and maintenance.
  • Collaborate closely with cross-functional teams including Product, Design, and Data Science.
  • Ensure code quality through rigorous code reviews and adherence to industry best practices.
  • Identify and mitigate technical risks and architectural bottlenecks early in the development process.

Qualifications

  • 10+ years of experience in full-stack software engineering and system architecture.
  • Proven track record of leading large-scale, high-traffic technical projects from conception to launch.
  • Expert proficiency in Python, Go, or Rust, with experience in cloud-native architectures (AWS, GCP, or Azure).
  • Deep understanding of Machine Learning pipelines and data engineering principles.
  • Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
  • Strong problem-solving skills with a focus on scalability, security, and performance optimization.
  • Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

AI Machine Learning System Architecture Python Go AWS Cloud Computing Leadership

Ready to Take This Challenge?

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