Teams at blackshark.ai

Build and operate Kubernetes clusters across cloud and edge environments, manage infrastructure-as-code with Terraform, design CI/CD pipelines, improve observability with Prometheus/Grafana/ELK, enforce security standards for regulated customers, optimize cloud costs, support on-prem and edge deployments (including customer site travel), and maintain reproducible testing and staging environments.

Own and embed security across the engineering lifecycle, automate security scans into CI/CD, manage secrets and container hardening, support compliance for regulated customers, design secure network architectures, respond to incidents, and collaborate with product teams to catch issues early.

Lead and grow a software engineering team responsible for distributed geospatial data processing at terabyte scale. Own the team roadmap, service reliability, latency, storage efficiency, integrations, architecture reviews, hiring, performance management, and operational outcomes. The role requires expertise in Python, distributed systems, geospatial data, cloud infrastructure, and deploying software into customer-controlled environments.