!Please note that this job requires to work within european hours!
Satellite and drone imagery access is on the rise, and traditional image processing methods are struggling to keep up. We’ve never had more data, and yet it’s never been harder to gain meaningful insights.
Our scalable AI platform enables custom model training on global features, providing real-time, on-demand geospatial insights with impressive speed and accuracy. The application turns months of manual work into mere minutes, and with much better results. We work with customers from various domains, from intelligence and defence, local and federal governments, insurance industry, to small and large enterprises, which requires us to have a lot of flexibility on how we deploy and maintain our services.
We kicked off in 2020 and have secured $35 million in series A funding from a lineup of top US and European investors, among which Microsoft M12, Point72 Ventures, Maxar, In-Q-Tel, SAFRAN, and ISAI/Capgemini.
We're searching for a Platform Engineer to join our Deployment team. You'll build and operate the infrastructure that powers our AI platform across radically different environments: AWS for our SaaS offering, single-tenant cloud deployments for enterprise customers, K3S clusters on customer hardware, and edge deployments running on a single laptop in the field. You'll also shape the developer experience for our engineering teams, making it easy to build, test, and ship reliable software.
What you’ll 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 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
Your profile
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
Ideally
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
Why join us
Unique deployment challenges : Few teams operate across SaaS, enterprise cloud, on-prem servers, and edge laptops—you'll solve problems most engineers never encounter
Strategic impact : The Deployment team is central to our defense expansion, directly enabling new customer segments and contract opportunities
Customer-facing work : Travel to customer sites and see your infrastructure running in real operational environments
Growth trajectory : Join ahead of our Series B as we scale the team and expand 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
Tech Stack
Linux, Docker, Kubernetes (EKS, K3S)
AWS, Azure, GCP
Terraform
Azure DevOps, ArgoCD, Helm
Prometheus, Grafana
Elasticsearch, Kibana
Redis, PostgreSQL
Python, Bash
In accordance with Austrian legislation, we are disclosing the minimum remuneration fixed for this position is : 60.000,--€ gross per year. The effective salary depends on qualification and experience and may be significantly higher!
Platform Engineer - Deployment Team in Graz Arbeitgeber: Blackshark.ai GmbH
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem dynamischen und innovativen Umfeld zu arbeiten, das sich auf die Entwicklung einer skalierbaren KI-Plattform für die Objekterkennung konzentriert. Unsere Unternehmenskultur fördert Zusammenarbeit und Kreativität, während wir Ihnen zahlreiche Möglichkeiten zur beruflichen Weiterentwicklung und Weiterbildung bieten. Genießen Sie die Vorteile eines modernen Arbeitsplatzes, der mit den neuesten Cloud-Technologien ausgestattet ist und Ihnen die Chance gibt, an spannenden Projekten mit einem engagierten Team von Fachleuten zu arbeiten.
