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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Infrastructure Engineer - 2026 Roadmap

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

Are you ready to architect the future? Aether Dynamics is seeking a visionary Lead AI Infrastructure Engineer to spearhead our mission in building the technological backbone for the year 2026.

We are not just building software; we are constructing the digital reality of tomorrow. In this pivotal role, you will define the architectural standards for our next-generation AI models, ensuring they are scalable, secure, and quantum-ready. If you thrive in fast-paced environments and want to leave a lasting impact on the trajectory of technology, we want to hear from you.

Responsibilities

  • Architect the 2026 Roadmap: Lead the strategic design and implementation of a distributed, high-performance infrastructure capable of supporting advanced generative AI workloads.
  • Cloud & DevOps Leadership: Oversee the deployment of microservices on Kubernetes, optimizing for cost-efficiency and high availability across multi-cloud environments.
  • Model Optimization: Collaborate with data science teams to engineer pipelines that maximize inference speed and reduce latency for large language models.
  • Security & Compliance: Implement rigorous security protocols and governance frameworks to protect sensitive data and ensure regulatory compliance in a decentralized ecosystem.
  • System Reliability: Drive initiatives to improve system observability and resilience, minimizing downtime during critical global deployments.

Qualifications

  • Experience: 8+ years of software engineering experience, with at least 3 years in a lead or architect role within AI/ML infrastructure.
  • Technical Skills: Deep proficiency in Python, Go, and Rust; extensive experience with Kubernetes, Docker, and AWS/Azure/GCP.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).
  • Problem Solving: Exceptional ability to solve complex technical problems and make architectural decisions under pressure.
  • Communication: Strong verbal and written skills, capable of translating technical concepts to diverse stakeholders.

Required Skills

Python Go Kubernetes Docker AWS System Design Machine Learning Microservices Cloud Architecture Linux

Ready to Take This Challenge?

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