Graz Hybrid Employment 60.000,--€

blackshark.ai is hiring a Platform Engineer - Deployment Team

About the Role

Build and operate the infrastructure that powers the AI platform across AWS, single-tenant cloud deployments, K3S clusters on customer hardware, and edge deployments. Shape the developer experience for engineering teams to build, test, and ship reliable software.

Responsibilities

  • 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 accelerate 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

Requirements

  • 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 context-switch across 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

  • Unique deployment challenges: operate across SaaS, enterprise cloud, on-prem servers, and edge laptops
  • Strategic impact: central to defense expansion, directly enabling new customer segments and contract opportunities
  • Customer-facing work: travel to customer sites and see infrastructure running in real operational environments
  • Growth trajectory: join ahead of Series B as team scales and expands into new markets
  • Strong technical culture: work alongside platform, ML, and GIS engineers solving novel infrastructure challenges
  • Healthy work-life balance with flexible working arrangements
  • Competitive compensation with personalized benefits including learning opportunities, mental well-being programs, and healthcare
  • Permanent employment: no B2B option possible

Additional Information

  • Requires working within European hours
  • Must be willing to travel to customer sites for on-premises deployments and troubleshooting
  • Permanent employment only – no B2B option possible
  • Maintain security standards required for defence and government customers
Required Skills
DockerKubernetesTerraform in production environmentsCI/CD pipelinesdeployment automatioPythonBashmulti-environment or multi-tenant deployGPU infrastructureML workload schedK3S or lightweight Kubernetes distributicontainer security scanninghardenin DockerKubernetesTerraform in production environmentsCI/CD pipelinesdeployment automatioPythonBashmulti-environment or multi-tenant deployGPU infrastructureML workload schedK3S or lightweight Kubernetes distributicontainer security scanninghardenin
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About company
blackshark.ai

Blackshark.ai transforms raw sensor imagery into structured digital representations of the physical world. The platform powers a multi-layer architecture that converts global sensor inputs into operational intelligence.

From satellite and aerial imagery, the system extracts infrastructure, terrain, and changes across the built environment. This enables high-frequency mapping, rapid disaster response, and synthetic environment generation for AI training and simulation.

Founded in 2021, Blackshark.ai is backed by top-tier investors including M12, Point72, and IQT. The company leverages expertise from large-scale simulation environments originally developed in the video game industry.

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Job Details
Department Engineering – Deployment Team
Category infrastructure
Posted 4 months ago