Join Our Crew

Essential Duties:
• Create and maintain testing frameworks for developers and manual QA to consume
• Identify gaps in automated testing coverage
• Remove barriers to increasing test coverage via automation
• Assist with the implementation of automated tests as needed
• Assist with troubleshooting test execution failures/errors that occur during the CI/CD process
• Manage the pipelines and environments where automated tests are executed as part of the CI/CD process
• Work with stakeholders across multiple software development projects to implement scalable and re-usable automation that will benefit all development teams
• Work closely with the DevOps team to facilitate automation of all stages of the software release process
• Report and remedy risks identified during the software release process

Technical Skills:
• Scripting: Python, Javascript, Bash, Powershell
• Testing frameworks: Pytest, Cucumber, Puppeteer, Froglogic Squish
• Version control: Git
• Infrastructure as code: Saltstack, Terraform, Packer
• CI/CD: Azure DevOps
• Cloud: AWS, Azure

Additional Attributes:
• Strong communication skills
• Ability to work with people across varied disciplines and speak to them on their level of technical expertise
• Customer-first thinking
• Ability to identify areas of improvement, and design solutions to address complex testing scenarios
• DevOps experience is a strong plus
• Oil and gas (or other highly secure/regulated industry) experience is a plus

DevOps is a critical function enabling our innovative solutions to be seamlessly delivered to end-users. The DevOps Engineer will create efficient automation for the delivery of such systems.

The DevOps Engineer manages and improves the communication between the operational and developmental sides of the software development process. Their primary duties include launching product updates, locating production errors and issues, and building integrations that improve users’ experience.

Duties and Responsibilities
• Design, build, test, and deploy changes to existing software
• Enhance the company’s IT infrastructure security protocols
• Identify and automate manual processes to enable efficient develop-to-deliver system
• Maintain and improve the SaaS infrastructure

Expected Skills
• Minimum 3 years of experience in DevOps specific role
• Minimum 5 years software-related role
• Experience with cloud technology – AWS and Azure preferred
• Experience with microservices architecture, development, deployment, and testing
• Familiarity with container or virtualization technologies
• General understanding of security concepts such as identity management
• Programming languages such as Java/JavaScript, Go, Python or Scala
• Experience with Agile development practices

As a Data Scientist, you will be responsible for conducting research and development on the latest Machine Learning / Deep Learning techniques to improve our current frameworks, such as Bluware AI products InteractivAI.

You will need to have an end-to-end understanding of these frameworks. This will include developing custom models to achieve the best results, streaming first-party data, and generating dashboards.

To ensure we provide the best framework suitable for Machine Learning, it is imperative that as a Data Scientist you keep up with the latest innovations in both ML (Machine Learning) / DL (Deep Learning) / AI (Artificial Intelligence), the mathematics involved, and the corresponding coding skills.

Duties and Responsibilities

• Research and prototype ML/DL algorithms, provide technical direction and subject matter expertise.
• Implement processes and systems to monitor data quality.
• Improve and optimize data pipelines from different dataset sources.
• Work with scientists and other engineers to develop and improve Bluware products by following the roadmap and leadership direction.
• Stay up to date on ML/DL/AI technologies.
• Prepare and deliver demonstrations.
• Write reports and document results.
• Participate in technical quality management activities such as design reviews, code reviews, and internal process checks.
• Maintain working knowledge of the latest software engineering (SE) tools and practices for continuous integration (CI), unit/integration tests, code profiling, and code coverage.

Growth Skills

• Seek and respond to feedback.
• Use internal and/or external knowledge resources to obtain information or build skills.
• Learn new applications, technologies, and skills.
• Seek to build product and platform knowledge and corresponding responsibilities.

Requirements

• At least three years of experience as Data Scientist, Data Engineer, or similar.
• Master’s in mathematics, statistics or computer science or related field; PhD. a plus.
• Advanced proficiency with Python (C++ a plus).
• Understanding of data structures, data modeling and data architecture.
• Advanced mathematical background, with solid knowledge of statistics, probability, data mining and the principles of Machine Learning & AI.
• Experience with machine learning frameworks (Tensorflow/PyTorch) and libraries (scikit-learn/pandas…).
• Familiarity with Linux.
• Excellent client-facing and internal communication skills. Excellent written and verbal communication skills.
• Solid organizational skills including attention to detail and multi-tasking skills.
• Ability to work in a remote team. Access to the Houston office is permitted.

Organizational Alignment

• Report to the Lead Data Scientist R&D (which reports to the CTO).
• Follow directions of technical executives regarding short-term roadmap and long-term strategy.