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Information Technology 🏢 Full Time ⭐️ Verified

Senior Future Systems Architect

Epoch 2026 Solutions
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the technological landscape of the coming decade? Epoch 2026 Solutions is seeking a visionary Senior Future Systems Architect to spearhead our advanced engineering initiatives. We are building the infrastructure for tomorrow, today, and we need a leader who can navigate the complexities of next-gen data processing and AI integration.

In this pivotal role, you will bridge the gap between theoretical future tech and practical application. You will be responsible for architecting robust, scalable systems that drive our core products and ensure our platform remains at the forefront of innovation.

Our Culture

We pride ourselves on a premium, high-performance work environment. Our team is diverse, driven, and obsessed with quality. You will have the autonomy to make high-impact decisions and the resources to turn your boldest ideas into reality.

Responsibilities

  • Design and implement high-availability, distributed system architectures for enterprise-grade applications.
  • Lead the research and integration of emerging technologies, including AI-driven automation and predictive analytics.
  • Mentor a team of talented engineers, conducting code reviews and fostering a culture of continuous improvement.
  • Optimize system performance, scalability, and security across cloud-native environments.
  • Collaborate closely with product managers and stakeholders to translate complex requirements into technical blueprints.
  • Establish best practices for deployment, monitoring, and incident response in a fast-paced environment.

Qualifications

  • 10+ years of experience in software engineering and systems architecture.
  • Expert proficiency in languages such as Python, Go, or Rust, with deep knowledge of concurrency models.
  • Strong background in cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Experience integrating Large Language Models (LLMs) and Machine Learning pipelines into production applications.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Required Skills

Python Go Rust AWS Kubernetes Docker Cloud Architecture AI Machine Learning System Design Agile Leadership

Ready to Take This Challenge?

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