DevOps Engineer – Cloud Infrastructure

Nexus AI Labs

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  • Temporary
  • Seattle, WA
  • $180,000 - $250,000 USD / Year
  • Salary: $180,000 - $250,000

Website nexusailabs Nexus AI Labs

Pioneering the future of AI

Job Description

About the Role

Join our DevOps team to build and maintain scalable cloud infrastructure. You will automate deployments, optimize performance, and ensure high availability of our systems. Your expertise will enable seamless delivery of our products to customers worldwide.

Responsibilities

  • Design and implement CI/CD pipelines for automated deployments.
  • Manage and optimize cloud infrastructure (AWS, GCP, or Azure).
  • Monitor system performance and troubleshoot issues.
  • Ensure security and compliance of infrastructure.
  • Collaborate with developers to improve deployment processes.
  • Implement infrastructure as code using tools like Terraform.
  • Scale systems to handle growing traffic and data volumes.
  • Mentor junior team members and share best practices.

Requirements

  • Bachelor’s degree in CS, IT, or related field.
  • 4+ years of experience in DevOps or cloud engineering.
  • Proficiency in AWS, GCP, or Azure services.
  • Experience with Docker, Kubernetes, and CI/CD tools.
  • Strong scripting skills (e.g., Bash, Python, or Go).
  • Knowledge of infrastructure as code (Terraform, Ansible).
  • Excellent problem-solving and communication skills.
  • Certifications like AWS Certified DevOps Engineer are a plus.

Benefits

  • Competitive salary and stock options.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) matching and financial wellness programs.
  • Professional development and certification support.
  • Flexible work arrangements and remote options.
  • State-of-the-art tools and technology.
  • Generous PTO and wellness stipends.
  • Collaborative and innovative team environment.

About the Company

We are a global tech company delivering cutting-edge solutions to businesses and consumers. Our mission is to provide reliable, scalable, and secure infrastructure that powers innovation. We value teamwork, continuous learning, and a customer-first mindset.


Job ID: devops-engineer—cloud-infrastructure-Auqcz

Tagged as: Deep Learning, Machine Learning, Research

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