Staff DevOps Engineer — AI/ML Infra at Scale

Nexxa.ai; Canada; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Equity package

Professional growth opportunities

Job summary

Nexxa.ai in Canada is seeking a Senior/Staff DevOps Engineer to own and operate the infrastructure for AI and industrial systems at scale. You will oversee compute, networking, storage, and deployment, ensuring production ML workloads run fast, with strong observability and reliability.

You will collaborate with AI, data, and product teams, design CI/CD pipelines, IaC with Terraform/Pulumi, and manage Kubernetes platforms with GPU scheduling.

Qualifications

• 6+ years in DevOps/SRE/Platform/infra roles.
• Production-scale cloud platforms (AWS, GCP, or Azure)
• Kubernetes in production with GPU scheduling
• Infrastructure-as-code tooling (Terraform, Pulumi, or equivalent)
• CI/CD systems (GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD)
• Observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry)
• ML/AI infrastructure experience is a strong plus
• Excellent scripting in Python, Go, or Bash
• Ability to scope and lead infra projects end-to-end
• Strong incident management and root-cause capability

Responsibilities

• Own and evolve Nexxa's core infrastructure end-to-end.
• Design and operate CI/CD pipelines for AI, data, and product teams.
• Build and maintain infrastructure-as-code for cloud and on-prem/edge deployments.
• Architect and manage Kubernetes platforms for training, inference, and workloads, including GPU scheduling.
• Collaborate with data/AI teams on data warehouses, feature stores, and model training infra.
• Define observability practices: metrics, logging, tracing, alerting across distributed systems.
• Enforce reliability: SLOs/SLIs, incident response, postmortems, on-call rotations.
• Design for security/compliance across cloud infra and secrets management.
• Make cost, latency, reliability tradeoffs, balancing velocity.
• Help define platform roadmap with engineering leadership.

Skills

Cloud platforms

Kubernetes in prod

Infrastructure-as-code

CI/CD pipelines

Observability stacks

ML/AI infra

Scripting (Python/Go/Bash)

Project leadership

Incident management

Tools

Terraform

Pulumi

GitHub Actions

GitLab CI

CircleCI

Jenkins

ArgoCD

Job description

Nexxa.ai in Canada is seeking a Senior/Staff DevOps Engineer to own and operate the infrastructure for AI and industrial systems at scale. You will oversee compute, networking, storage, and deployment, ensuring production ML workloads run fast, with strong observability and reliability.

You will collaborate with AI, data, and product teams, design CI/CD pipelines, IaC with Terraform/Pulumi, and manage Kubernetes platforms with GPU scheduling.