Tide jobs

Systems Engineering - Integration & Test Engineering- Hardware DevOps Environment Scottsdale, AZ, US Basic Qualifications Requires a Bachelor's degree in Electrical Engineering, or a related Science, Engineering, Technology or Mathematics field. Also requires 2+ years of job-related experience, or a Master's degree and 6 months of job-related experience. Agile experience preferred, CLEARANCE REQUIREMENTS: Department of Defense TS/SCI security clearance is preferred at time of hire. Candidates must be able to obtain a TS/SCI clearance within a reasonable amount of time from date of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position ROLE AND POSITION OBJECTIVES: As a Systems and Test Integration Engineer- Hardware DevOps, on the GDMS TIDES team, you will be a core contributor within the Hardware Development Environment (HDE). The HDE is the shared engineering platform - spanning hardware, test, and software - that all spacecraft payload programs build on. The DevOps group owns the software platform layer: CI/CD pipelines, test automation frameworks, shared tooling, and the lab infrastructure that connects them. You will work alongside hardware and systems engineers to build and maintain the DevOps Test Infrastructure (DOTI) - and your work directly enables faster hardware bring-up, more reliable regression testing, and a smoother path from devel

Program Manager II, NPI Technical Infrastructure Deployment Engineering Mexico A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. The Machine Operations and Deployment Engineering (MODE) team's mission is to deliver ML capacity predictably and at scale. We do this through agile planning, deployment speed and efficiency, and enablement of partner teams. We manage the end-to-end planning and deployment process for ML hardware, both in the New Product Introduction phase and in production in Google's Data Centers. Within MODE, The Technical infrastructure Deployment Engineering ML (TIDE-ML) team is responsible for orchestration of New Product Introduction (NPI) deployments, the required processes, policies, and infrastructure/networking dependencies to introduce our Machine Learning products that form the foundation of Google's AI efforts to the world. Drive a set of cross-functional partners to develop and deliver ML deployment programs from inception to production. Develop deployment schedules, documentation, process maps, presentations and tracking reports to provide detailed current status of each project. Understand technical dependencies and considerations to drive project delivery; identify risks and

Product Manager/Strategy 4-ProdDev United States, US Oracle Analytics is hiring for an AR Community product manager outbound role to help us gather product evidence for our Industry Analyst Community. The goal is to bring our products to life and provide proof points via in-depth customer use cases and partners' solutions, highlighting the product features they are using, deployment architecture details as well as technical and business value evidence. Who you are : you have a passion for telling product stories and bringing technology to life. You can navigate through change easily and learn new technologies on the fly. You are a self-starter and a team player with a can do attitude. Flexible and adaptable to ever changing needs. Quick learner, who is innovative and open to new ideas Not afraid to think out of the box or swim against the tide to overcome big challenges. Constantly looks for improvement and seeks opportunities for optimization and automation of existing processes. Thrives in a fast paced environment and likes wearing multiple hats. Loves learning new tech and delivering results quickly. Self-motivated and directed but not afraid to ask for help. What you'll bring to the team : Fresh, new perspective on how to best leverage our customer and partner use cases in a cloud world to tell a compelling and differentiated story for our Analyst Community on how our products are driving value and helping organizations to innovate. What you will learn on the job : Working with the Analyst Community will