Blackshark

Platform Engineer - Deployment Team

Graz, Remote. Posted 10 months ago

The role

You will build and operate the infrastructure that runs our AI platform across AWS SaaS, single-tenant customer cloud, K3S clusters on customer hardware, and edge laptops. You will also improve the developer experience so engineering teams can build, test and ship reliable software.

What you will do

  • Build and operate Kubernetes clusters across AWS, Azure, GCP and bare-metal K3S deployments
  • Own infrastructure as code using Terraform, evolving our multi-environment architecture
  • Design and improve CI/CD pipelines to speed up the path from code to production
  • Enhance observability across the stack with Prometheus, Grafana and the ELK stack
  • Maintain security standards required for defence and government customers
  • Optimize cloud costs while ensuring performance and reliability
  • Travel to customer sites to support on-premises deployments and troubleshoot production issues
  • Ensure testing and staging environments are reproducible and consistent with production

Required qualifications

  • Experience with Docker, Kubernetes and Terraform in production environments
  • Strong Linux system administration skills with the ability to debug production issues
  • Solid understanding of networking, security and infrastructure fundamentals
  • Experience with CI/CD pipelines and deployment automation
  • Good communicator who enjoys working in a team and can switch between priorities
  • Comfortable traveling to customer sites for on-premises deployments
  • Scripting proficiency in Python and Bash

Nice to have

  • Experience with multi-environment or multi-tenant deployment architectures
  • Background in regulated environments (government, defence)
  • Familiarity with GPU infrastructure and ML workload scheduling
  • Experience with K3S or lightweight Kubernetes distributions for edge deployments
  • Knowledge of container security scanning and hardening practices

Benefits

  • Flexible working arrangements
  • Healthy work-life balance
  • Personalized benefits including learning opportunities
  • Mental well-being programs
  • Healthcare
  • Competitive compensation

Before you apply

  • Travel to customer sites is part of the job

About the company

blackshark offers an AI platform for custom model training on geospatial data from satellite and drone imagery. The company was founded in 2020 and has raised $35 million in Series A funding.

Platform Engineer - Deployment Team at Blackshark | JobZoey