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Information Technology 🏢 Full Time ⭐️ Verified

2026 Strategic Systems Architect | San Francisco, CA

Nova Systems Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of technology? Nova Systems is seeking a visionary 2026 Strategic Systems Architect to lead our next-generation infrastructure projects. In this pivotal role, you will bridge the gap between today's innovation and the ambitious goals of 2026, ensuring our systems are built for longevity, scalability, and competitive advantage. You will work in a high-performance environment, collaborating with top-tier engineers to architect solutions that define the industry standard for the future. Join us and be the architect of the world you want to see in 2026.

Responsibilities

  • Define the comprehensive technical roadmap and architectural vision for the 2026 product lifecycle, ensuring alignment with business objectives.
  • Lead the design and implementation of scalable, high-availability systems across hybrid cloud and on-premise environments.
  • Collaborate with cross-functional teams to integrate emerging technologies, including AI, predictive analytics, and quantum-ready protocols.
  • Establish and enforce enterprise-wide technical standards, security best practices, and architectural governance frameworks.
  • Drive technical decision-making, mentor senior engineers, and foster a culture of innovation and continuous improvement.
  • Conduct rigorous system audits, performance tuning, and code reviews to ensure robustness and security.
  • Act as the primary technical liaison for stakeholders, translating complex concepts into actionable business strategies.

Qualifications

  • 10+ years of experience in systems architecture, with a focus on large-scale software engineering and distributed systems.
  • Proven experience leading high-performance engineering teams and delivering complex projects on time and within budget.
  • Strong proficiency in major cloud platforms (AWS, Azure, or GCP) and microservices architecture patterns.
  • Familiarity with AI/ML integration and future-forward tech stacks (e.g., Rust, Go, Kubernetes).
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • BS in Computer Science, Engineering, or a related technical field (Master's degree or equivalent experience preferred).

Required Skills

Systems Architecture Cloud Computing AI Integration Microservices Kubernetes Python Java Go Agile Methodologies Leadership DevOps Enterprise Architecture

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