Remote Senior DevOps Engineer – Real-Time AI & GPU Infra

Remote Senior DevOps Engineer – Real-Time AI & GPU Infra

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Elea Ecuador

At a Glance

  • Tasks: Build and scale AI infrastructure while working with GPU fleets and automation.
  • Company: Elea Ecuador, a leader in AI technology with a remote-first culture.
  • Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on system resilience and reliability.
  • Why this job: Join a cutting-edge team and shape the future of AI technology.
  • Qualifications: Strong DevOps background and passion for high-performance systems.

The predicted salary is between 60000 - 80000 Β£ per year.

Elea Ecuador is seeking a Staff/Senior DevOps Engineer to build, operate, and scale the infrastructure powering AI products. This role involves working on GPU fleets, automation, and high-performance systems. Ideal candidates will have a strong background in DevOps principles and a desire to work in a remote-first setup.

Responsibilities include ensuring system resilience, reliability, and performance.

Remote Senior DevOps Engineer – Real-Time AI & GPU Infra employer: Elea Ecuador

Curaleaf International is an exceptional employer, offering a unique opportunity to lead transformative commercial operations in the rapidly growing medical cannabis sector across the UK, Spain, and Portugal. With a strong commitment to employee growth, a diverse and inclusive work culture, and direct exposure to executive leadership, employees can thrive in an environment that values innovation and collaboration while making a meaningful impact on the business and its communities.

Elea Ecuador

Contact Details:

Elea Ecuador Recruitment Team

We think you need these skills to ace Remote Senior DevOps Engineer – Real-Time AI & GPU Infra

DevOps Principles
Infrastructure Management
GPU Fleet Management
Automation
High-Performance Systems
System Resilience
System Reliability