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Information Technology 🏒 Full Time ⭐️ Verified

2026 Systems Architect

QuantumLeap Industries
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

We are seeking a visionary 2026 Systems Architect to spearhead the development of our next-generation infrastructure. In this pivotal role, you will design and implement scalable, AI-driven solutions that define the technological landscape for the coming decade. If you are passionate about building robust systems that stand the test of time and thrive in a fast-paced, innovative environment, we want to hear from you.

Why Join Us?

  • Work with cutting-edge AI and quantum computing technologies.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with annual team retreats.
  • Opportunity to mentor a team of elite engineers.

Responsibilities

  • Lead the architectural design and strategy for our core infrastructure, ensuring scalability, security, and performance for the year 2026 and beyond.
  • Define technical standards and best practices to guide development teams across multiple disciplines.
  • Collaborate with cross-functional product teams to translate business requirements into technical roadmaps.
  • Oversee the deployment of cloud-native solutions and manage legacy system migrations.
  • Conduct deep-dive code reviews and performance analysis to drive technical excellence.
  • Act as the primary technical point of contact for high-stakes stakeholder presentations.

Qualifications

  • 10+ years of experience in systems architecture, software engineering, or a related technical field.
  • Deep expertise in distributed systems, microservices, and cloud architecture (AWS, GCP, or Azure).
  • Strong proficiency in programming languages such as Python, Go, or Java.
  • Familiarity with AI/ML frameworks and large language model integration.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related discipline is preferred.

Required Skills

Python Go Java AWS GCP Azure Kubernetes Docker Microservices AI Machine Learning System Design Cloud Architecture

Ready to Take This Challenge?

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