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Infrastructure and DevOps Engineer (Remote - US or Canada)

Jobgether

Canada

Remote

USD 114,000 - 135,000

Full time

Yesterday
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Job summary

Jobgether is seeking an Infrastructure and DevOps Engineer for a remote position in Canada or the US. This role involves designing cloud-native infrastructure, maintaining scalable environments, and implementing CI/CD pipelines for AI tools. Ideal candidates will have strong experience in DevOps and automation, contributing to high-performance systems in a collaborative environment.

Benefits

Fully remote position
Competitive salary
Bonus and equity package
Health and wellness benefits
Opportunities for growth
Flexible working hours

Qualifications

  • 4+ years of experience in DevOps, SRE, or Infrastructure Engineering roles.
  • Proficient with AWS, Kubernetes, and Docker.
  • Strong scripting abilities in Python, Bash, or similar languages.

Responsibilities

  • Design, deploy, and manage cloud-native infrastructure for AI/ML tools.
  • Build CI/CD pipelines for efficient ML workflows.
  • Monitor system health and troubleshoot complex distributed system issues.

Skills

AWS
Kubernetes
Docker
Infrastructure as Code
Python
Bash
CI/CD systems
Networking
Cloud security
Problem-solving

Job description

Infrastructure and DevOps Engineer (Remote - US or Canada)
Infrastructure and DevOps Engineer (Remote - US or Canada)

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an Infrastructure and DevOps Engineer in Canada or the United States.

This is a high-impact remote role supporting AI platforms and infrastructure critical to scaling next-generation software systems. As an Infrastructure and DevOps Engineer, you'll collaborate with cross-functional teams to build secure, scalable, and highly available environments that enable fast, reliable deployment of AI tools and applications. This position is ideal for engineers passionate about automation, reliability, and unlocking innovation through streamlined infrastructure. You will be a key contributor to optimizing systems performance, implementing CI/CD pipelines, and empowering internal teams through operational excellence.

Accountabilities:

  • Design, deploy, and manage cloud-native infrastructure for AI/ML tools, pipelines, and data platforms
  • Maintain containerization (Docker) and orchestration (Kubernetes) environments to support scalable workloads
  • Build CI/CD pipelines that ensure reproducibility and efficiency across ML workflows
  • Collaborate with security teams to implement and uphold best practices in compliance and data protection
  • Automate infrastructure provisioning with tools such as Terraform or Pulumi
  • Monitor system health and performance using observability tools like Prometheus, Grafana, and the ELK stack
  • Troubleshoot complex distributed system issues and ensure platform resilience
  • Create and maintain clear documentation to scale platform knowledge across teams


Requirements

  • 4+ years of experience in DevOps, SRE, or Infrastructure Engineering roles
  • Proficient with AWS (or other cloud platforms), Kubernetes, and Docker
  • Skilled in Infrastructure as Code (Terraform, Ansible, or Pulumi)
  • Strong scripting abilities in Python, Bash, or similar languages
  • Experience with CI/CD systems such as GitHub Actions, Jenkins, or CircleCI
  • Knowledge of networking, identity management, and cloud security best practices
  • Familiarity with GPU-based infrastructure and support for ML/AI workloads
  • Strong problem-solving skills and ability to communicate with both technical and non-technical teams


Benefits

  • Fully remote position (Canada or US-based)
  • Competitive salary: $114,800—$135,000 USD
  • Bonus and equity package (RSUs)
  • Health and wellness benefits
  • Opportunities for growth in AI infrastructure and DevOps innovation
  • Supportive, high-impact engineering culture
  • Flexible working hours and strong emphasis on work-life balance


Jobgether Hiring Process Disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.

If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Non-profit Organizations and Primary and Secondary Education

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