blackshark.ai
51 - 200 employees
🤖 Artificial Intelligence
🎮 Gaming
💰 $15M Series A on 2023-11
Artificial Intelligence • Geospatial Analytics • Gaming
blackshark. ai is a cutting-edge geospatial platform that provides a real-time, accurate, and photorealistic 3D digital twin of the entire planet. Leveraging advanced machine learning techniques, blackshark. ai analyzes current satellite and aerial imagery to extract insights about the Earth's infrastructure on a global scale. Its technology supports a range of applications, including simulation, visualization, and data analysis, making it invaluable for industries such as urban planning, aviation, and geospatial analytics.
Platform Engineer – Deployment Team
🕒 January 12
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blackshark.ai
51 - 200 employees
🤖 Artificial Intelligence
🎮 Gaming
💰 $15M Series A on 2023-11
Artificial Intelligence • Geospatial Analytics • Gaming
blackshark. ai is a cutting-edge geospatial platform that provides a real-time, accurate, and photorealistic 3D digital twin of the entire planet. Leveraging advanced machine learning techniques, blackshark. ai analyzes current satellite and aerial imagery to extract insights about the Earth's infrastructure on a global scale. Its technology supports a range of applications, including simulation, visualization, and data analysis, making it invaluable for industries such as urban planning, aviation, and geospatial analytics.
📋 Description
• 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 • 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 • 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
• Competitive compensation • Personalized benefits including learning opportunities • Mental well-being programs • Healthcare • Healthy work-life balance with flexible working arrangements
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