Member Technical Staff
TIBCO | 60100 Statistica R&D | Tulsa, OK
TIBCO Statistica is a well-established and highly regarded Enterprise-level provider of Statistical Analysis / Quality and Process Control / Data Mining / Machine Learning / Big Data Analytics solutions. Our customers use these solutions to solve real life problems by turning their raw data into actionable, automated decisions. Our R&D team is in need of a motivated individual who knows what a modern DevOps pipeline is and is ready to learn and grow on the job along with it.
While TIBCO as a whole is a Silicon Valley powerhouse of everything-data, from data integration and virtualization to streaming analytics, the Statistica R&D team is compact enough to get a clear feel of how a software development team acts as a whole to plan, design, implement and deliver results. As a DevOps engineer, you will be responsible for the beating heart of the product - its release cycle. From a single code change, to a container in the cloud, you will be responsible for keeping that beat stable and steady through automation, continuous deployment, and testing.
DevOps engineers are inherently multidisciplinary generalists. They must be fast learners who are creative, articulate, and able to collaborate with others. It’s also important to be customer-focused and have a passion for software and the data that drives it. If you are able to thrive in fast-paced environments and are up to the challenge, let us know! By the way, we are a diverse workplace. It’s not just a slogan, but a reality.
You will work in a collaborative environment with Development, QA, Support, Product Management, and other Statistica teams. Your primary job responsibilities will be:
- Build, deploy, install, update, configure, and maintain systems and services.
- You will work to automate and optimize processes and develop tools for automated deployment and monitoring of multiple environments.
- You will be the owner of the continuous deployment and integration pipeline that sustains high productivity levels and emphasizes defect prevention techniques.
- Troubleshoot and resolve issues in development, test, and production environments.