Senior Platform & DevOps Engineer — AI Healthtech, Hybrid

Biorce

Austin (TX)

Hybrid

USD 140,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Private health coverage
Gym membership
MacBook provided
Hybrid work model
Pet-friendly office (Barcelona)

Job summary

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.

Responsibilities

  • 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.

Skills

Kubernetes prod
Terraform IaC
ArgoCD GitOps
CI/CD pipelines
Monitoring stack
Linux networking
Python/Bash
GPU workloads
Security/compliance

Education

Bachelors or Masters in CS/Engineering

Tools

Prometheus
Grafana
Loki
OpenTelemetry

Job description

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.

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