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Information Technology 🏢 Full Time ⭐️ Verified

Senior Next-Gen Systems Architect (Project 2026)

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are looking for a visionary Senior Systems Architect to lead the architectural evolution of our infrastructure for the upcoming Project 2026 initiative. In this pivotal role, you will design and implement robust, scalable solutions that prepare our ecosystem for the next decade of technological advancement, including quantum-ready cloud infrastructure and autonomous AI integration.

If you are a thought leader passionate about building the future of enterprise technology, we want to hear from you.

Responsibilities

  • Lead Architectural Vision: Define and execute the technical roadmap for Project 2026, ensuring systems are scalable, secure, and future-proof.
  • Quantum-Ready Design: Design distributed systems architectures that can seamlessly integrate with emerging quantum computing paradigms.
  • Team Leadership: Mentor a team of senior engineers and architects, fostering a culture of innovation and technical excellence.
  • Cloud & DevOps Strategy: Oversee the transition to microservices architectures on AWS and Kubernetes, optimizing for high availability.
  • Stakeholder Communication: Translate complex technical concepts into clear strategies for executive stakeholders and product teams.
  • Security Implementation: Implement zero-trust security models and ensure compliance with global data regulations.
  • Performance Optimization: Continuously monitor system performance and drive initiatives to reduce latency and improve throughput.

Qualifications

  • Experience: 8+ years of experience in software architecture, with at least 3 years in a senior leadership role.
  • Programming Proficiency: Deep expertise in languages such as Python, Go, or Rust and familiarity with functional programming paradigms.
  • Cloud Mastery: Strong hands-on experience with AWS, Docker, Kubernetes, and serverless computing.
  • AI Integration: Experience integrating machine learning models into production environments.
  • Problem Solving: Proven track record of solving complex scalability and reliability challenges.
  • Communication: Exceptional ability to communicate technical strategies to non-technical audiences.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).

Required Skills

Python Go Rust AWS Kubernetes Microservices Distributed Systems AI/ML Integration Zero Trust Security Cloud Architecture

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