senior DevOps / Platform Engineer

About the Role

We're looking for a senior DevOps / Platform Engineer to own and evolve the infrastructure underpinning our AI-native SaaS platform. You'll work directly alongside the founding team on a Kubernetes-first, GitOps-driven stack running on GCP — managing everything from data infrastructure to ML workloads to multi-tenant deployments.

This is a hands‑on IC role with broad ownership. You'll be responsible for reliability, observability, security, and developer experience across the platform.

What you will Own

• Kubernetes platform — cluster management, workload tuning, and resource optimization across production and staging
• GitOps & deployments — Argo CD application lifecycle, Helm chart development, progressive delivery
• Infrastructure as Code — Terraform + Terragrunt for cloud resources and service provisioning
• Data infrastructure — relational, OLAP, object storage, and event streaming
• ML/AI workloads — LLM deployment pipelines, batch inference orchestration
• Observability — metrics, logging, alerting, and dashboards across the full stack
• Security & networking — service mesh, ingress, secrets management, and runtime security posture

Required

• 10+ years in IT with 5+ years in DevOps, SRE, or Platform Engineering
• Deep Kubernetes expertise in production environments
• Terraform/Terragrunt proficiency
• Hands‑on GitOps experience (Argo CD or Flux)
• GCP fluency — GKE, GCS, IAM, …
• Strong networking fundamentals (DNS, TLS, ingress, service meshes)
• Experience operating databases in production (Postgres or similar)
• Python and Golang fluency

Nice to Have

• OLAP or columnar databases (ClickHouse, BigQuery, Redshift)
• Multi‑cloud setups
• Security tooling (runtime threat detection, secrets management)

What success looks like after 90 days

• Fully ramped — you can ship changes, trace issues, and debug the stack independently
• At least one reliability or cost improvement shipped
• Observability gaps identified and addressed

Why join us?

• Build an AI‑Native Future: Design from the ground up, scaling the core infrastructure that powers complex LLM pipelines and ML workloads.
• True Architectural Authority: Work directly with the founding team, bypass corporate red tape, and own the technical roadmap.
• A Pure, Modern Stack: Kubernetes‑first, GitOps‑driven culture (GCP, GKE, Argo CD, Terraform, Golang).
• Perks: Flexible hybrid work environment in Montreal, deep focus on developer experience, and growth alongside a cutting‑edge product.

Additional Information

• Full‑time role based in France; candidates must have valid work permits.
• Please send your CV and letter of introduction to assistants@dng.ai.
• Only candidates considered for the position will be contacted.