Description:

Jobgether is a Talent Matching Platform that connects top talent with opportunities through AI-driven job matching.
The position is for an Infrastructure and DevOps Engineer, available for candidates in Canada or the United States.
This is a high-impact remote role that supports AI platforms and infrastructure essential for scaling next-generation software systems.
The engineer will collaborate with cross-functional teams to build secure, scalable, and highly available environments for fast and reliable deployment of AI tools and applications.
The role is ideal for engineers who are passionate about automation, reliability, and innovation through streamlined infrastructure.
Key responsibilities include designing, deploying, and managing cloud-native infrastructure for AI/ML tools, maintaining containerization and orchestration environments, building CI/CD pipelines, collaborating with security teams, automating infrastructure provisioning, monitoring system health, troubleshooting complex issues, and creating documentation.

Requirements:

Candidates must have 4+ years of experience in DevOps, SRE, or Infrastructure Engineering roles.
Proficiency with AWS (or other cloud platforms), Kubernetes, and Docker is required.
Candidates should be skilled in Infrastructure as Code tools such as Terraform, Ansible, or Pulumi.
Strong scripting abilities in Python, Bash, or similar languages are necessary.
Experience with CI/CD systems like GitHub Actions, Jenkins, or CircleCI is essential.
Knowledge of networking, identity management, and cloud security best practices is required.
Familiarity with GPU-based infrastructure and support for ML/AI workloads is preferred.
Strong problem-solving skills and the ability to communicate effectively with both technical and non-technical teams are essential.

This is a fully remote position available for candidates based in Canada or the US.
The competitive salary ranges from $114,800 to $135,000 USD.
The position includes a bonus and equity package (RSUs).
Health and wellness benefits are provided.
There are opportunities for growth in AI infrastructure and DevOps innovation.
The company promotes a supportive, high-impact engineering culture.
Flexible working hours and a strong emphasis on work-life balance are offered.