Senior Platform & DevOps Engineer — AI Healthtech, Hybrid

Biorce; Austin (TX); Hybride; USD 140 000 - 180 000; Plein temps

Avantages offerts par ce poste

Private health coverage

Gym membership

MacBook provided

Hybrid work model

Pet-friendly office (Barcelona)

Résumé du poste

Biorce in Austin, TX seeks a DevOps/SRE to build scalable Kubernetes infrastructure for AI-driven workloads. You’ll implement GitOps (ArgoCD), automate pipelines, and drive reliability across multi-tenant GPU environments.

You’ll collaborate with engineering, data and security teams, design cloud-native solutions, and promote best practices in monitoring, logging, and security to accelerate development and production readiness.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, with 3–5 years of relevant DevOps/SRE experience.
• Hands-on Kubernetes in production environments (multi-tenant clusters, GPU scheduling, autoscaling).
• Experience implementing Infrastructure as Code (Terraform).
• Experience deploying and operating GitOps workflows (ArgoCD).
• Strong CI/CD experience enabling engineering teams to ship faster with confidence.

Responsabilités

• Build and operate scalable, secure Kubernetes infrastructure for AI-driven workloads.
• Lead GitOps adoption to deliver changes via version-controlled pipelines.
• Improve monitoring, observability, and reliability across multi-tenant GPU environments.
• Collaborate with engineering to design cloud-native deployment and run-book best practices.

Connaissances

Kubernetes prod

Terraform IaC

ArgoCD GitOps

CI/CD pipelines

Monitoring stack

Linux networking

Python/Bash

GPU workloads

Security/compliance

Formation

Bachelors or Masters in CS/Engineering

Outils

Prometheus

Grafana

Loki

OpenTelemetry

Description du poste

Biorce in Austin, TX seeks a DevOps/SRE to build scalable Kubernetes infrastructure for AI-driven workloads. You’ll implement GitOps (ArgoCD), automate pipelines, and drive reliability across multi-tenant GPU environments.

You’ll collaborate with engineering, data and security teams, design cloud-native solutions, and promote best practices in monitoring, logging, and security to accelerate development and production readiness.