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Gecko Robotics Tech Stack
AI and robotics platform for critical infrastructure inspection and monitoring
Gecko Robotics operates at the intersection of hardware robotics, cloud infrastructure, and predictive analytics. The tech stack—Python, C++, ROS, GCP/AWS/Azure, Kubernetes, Vertex AI—reflects a distributed, multi-cloud engineering organization building both edge control systems and scalable data pipelines. Active projects span predictive maintenance for naval assets, sensor data ingestion, ML workflows, and IaC automation, while hiring leans heavily toward senior and mid-level engineers, indicating a product-scaling phase rather than early-stage exploration.
Tech Stack 35 technologies
Core StackPython JavaScript React AWS Terraform Docker TypeScript Java C++ Vertex AI Kubernetes GitLab Jenkins Go Selenium JUnit SonarQube Salesforce Apex GCP Azure Grinder CI/CD pytest Electron Unreal Engine Kalman Filter ROS SOQL Lightning Web Components+5 more
What Gecko Robotics Is Building
◆Challenges
- Ensuring availability of critical infrastructure
- Improving safety of operations
- Complex deployment challenges
- Reducing unnecessary blockers
- Cashflow issues
- Production inefficiencies
- Safety concerns
- Real-time decision making for operations
- Protecting environment from infrastructure failure
- Complex compliance-heavy government cloud deployments
▲Active Projects
- Predictive maintenance on us navy ships
- Software interfaces between robotic control and data collection
- Evolving cloud architecture and automation
- Maintaining and scaling single-tenant environments
- Developing iac modules and shared libraries
- Document processing pipeline
- Sensor data ingestion pipeline
- Ml workflow pipeline
- Full-cycle recruitment process
- Boiler inspection
Hiring Activity
15 roles · 8 in 30d
Department
Seniority
Notable leadership hires: Deployment Lead
Company intelligence