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Information Technology 🏢 Full Time ⭐️ Verified

Systems Architect (2026 Initiative)

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you ready to shape the future of technology? Apex Horizon Technologies is seeking a visionary Systems Architect to lead our 2026 Initiative. We are building the next generation of autonomous neural networks and need a leader who can bridge the gap between theoretical AI and scalable infrastructure. If you thrive in a high-stakes environment and want to define the tech stack of tomorrow, this is your opportunity.

As a key member of our core engineering team, you will architect the backbone of our upcoming generative AI platform, ensuring security, scalability, and performance at the edge.

Responsibilities

  • Architect Design: Design and implement scalable, secure, and high-performance system architectures for next-generation AI applications and edge computing infrastructure.
  • Technology Strategy: Evaluate emerging technologies and frameworks to drive the technical roadmap for the 2026 Initiative.
  • Team Leadership: Mentor senior engineers and lead technical design reviews to ensure code quality and architectural standards are met.
  • System Integration: Integrate complex data pipelines with legacy systems while ensuring seamless interoperability and data integrity.
  • Performance Optimization: Identify bottlenecks in existing systems and optimize code and database queries to handle millions of concurrent requests.
  • Security Compliance: Enforce enterprise-level security protocols, including encryption standards and access controls, to protect sensitive proprietary data.

Qualifications

  • Experience: 8+ years of experience in full-stack software engineering, with at least 3 years in a senior or lead architect role.
  • Core Skills: Proficiency in Python, Java, or Go, with deep knowledge of distributed systems and microservices architecture.
  • Cloud Expertise: Strong hands-on experience with AWS, Azure, or Google Cloud Platform (GCP) and containerization technologies like Docker and Kubernetes.
  • AI/ML Knowledge: Understanding of machine learning workflows, neural network infrastructure, and data engineering principles.
  • Problem Solving: Demonstrated ability to solve complex technical problems and translate business requirements into technical solutions.
  • Communication: Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical stakeholders.

Required Skills

Python Java Go AWS Azure GCP Docker Kubernetes Microservices System Design Machine Learning Neural Networks Data Pipelines

Ready to Take This Challenge?

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