Review and make necessary recommendations for infrastructure initiatives in collaboration with teammates. Support our existing production and non-production systems while continuously working to improve them
Brings skills to enable shift left in the software development life cycle, quality engineering related to code quality, early testing, defect prevention as opposed to defect detection and providing guidance on automation framework architecture and design.
Lead requirements analysis and verification, ensuring that requirement statements are complete, consistent, concise, comprehensible, traceable, feasible, unambiguous, and verifiable and that they conform to standards.
The data and insights engineer is a problem solver and seeks to master the devops and agile delivery practice. He or she is understands the relationships across the data ecosystem and knows where to go to get answers to questions posed by clients.
The engineering manager will spend less time writing code, but there is an expectation that they still engage in small technical deliverables such as bug fixes and small features, without blocking or slowing down the progress of their team. More than writing code, they hold responsibility for identifying bottlenecks in the process and roadblocks to success for their team and clearing these roadblocks.
The product management team is responsible for creating valuable, profitable products. This is accomplished through product planning, product discovery, product optimization, product leadership, and evangelism. As a director of product management, you will be responsible to:
The datasite sales director will focus on hunting top opportunities within a specific, defined market. This is an exciting opportunity for an accomplished seller to join our growing datasite team and become part of a world class team selling world class technologies
The Sr. Data and Insights Engineer is adept with with DevOps and agile delivery practices and understands the entire data ecosystem. The Sr. Data and Insights engineer is should be an expert on the entire data ecosystem and to hold others and him or herself accountable to best practices, and provide direct and immediate feedback and coaching when they are not.
Maintain database backup/recovery environment: Respond quickly to refresh data; verify implementation of correct backup strategy, develop recovery procedures; support recovery from loss of data caused by user or system error.