Remuneration
Not specified
Location
Canada · Remote
Eastern Daylight Time (UTC-4)
Visa sponsorship
Not specified
Job summary
Quantiphi is seeking a highly skilled Architect - Platform Engineer to design, optimize, and scale infrastructure for GenAI and LLM workloads.
Qualifications
- Experience with Slurm and distributed training environments
- Expertise with Red Hat OpenShift and/or Kubernetes
- Knowledge of the NVIDIA GPU ecosystem
- Foundation in Linux systems and performance tuning
- Experience deploying GenAI workloads
- Familiarity with Infrastructure-as-Code tools
- Experience with cloud GPU environments
- Mentor for senior resources
- Lead technical discussions on architecture design
Responsibilities
- Design and implement scalable infrastructure for LLM and GenAI workloads
- Perform GPU profiling and performance optimization for distributed training
- Manage compute-intensive jobs using Slurm and OpenShift/Kubernetes
- Optimize the NVIDIA GPU stack
- Collaborate to deploy models in research and production
- Build and support GenAI pipelines
- Develop reusable infrastructure templates
- Contribute to internal innovation and client-facing engagements
- Develop automation software for applications and cloud platforms
- Champion Infrastructure as Code practices
- Design self-service monitoring and alerting tools
- Automate development and test processes through CI/CD
- Build container hosting-platform using Kubernetes
- Introduce new cloud technologies and processes
- Lead technical discussions on architecture design
Skills
AnsibleArtifactoryAWSAzureDockerGCPGitHelmJenkinsKubernetesLinuxMakeOpenShiftOracle CloudRHELSnowflakeSonarQubeTerraform
Relocation
No