Sr. Power Systems Engineer, Generation, AWS Global Energy

Are you passionate about large power infrastructure systems? Do you love to innovate, discover, and apply your knowledge to advance world-class systems? Do you get excited about the idea of pushing the Basic qualifications: - Bachelor's degree in Engineering or a related field - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - 6+ years of experience with power systems or electrical design - Experience with dynamic and transient power system modeling software, such as PSCAD, PSSE, or similar software. - Extensive experience and knowledge of power generations equipment, systems, controls, including, but not limited to; diesel generators, distributed energy resources, or gas turbines. - Design experience and operational knowledge of medium-voltage and high-voltage equipment, including substation configurations, protection requirements, and integration of energy storage systems - Ability to interpret wiring diagrams, single and three-line diagrams, submittals, sequence of operations, and electrical drawing packages Preferred: - Experience carrying design concepts through exploration, development, and into deployment or mass production - 6+ years of direct experience with the design, construction, operation, or maintenance of mission critical data centers or power infrastructure - Master’s degree or higher in Electrical Engineering or related field - Working knowledge of continuous operating redundant electrical systems and power infrastructure. This includes but is not limited to; uninterruptable power sources, medium and low voltage electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches. - Experience in electrical power design, including interpreting wiring diagrams, single and three-line diagrams, P&ID drawings, sequence of operations, and electrical drawing packages, failure mode analysis. - Experience with gathering, compiling, and analyzing data to identify availability and/or performance risks within the design and operations of critical power infrastructure, including an understanding of data analysis methodologies and statistical techniques. - Experience with scripting languages (e.g., Python, R), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) and machine learning or related optimization frameworks - Possess excellent attention to detail and communication skills in order to maintain high quality standards for being organized, setting priorities, meeting deadlines, and staying within budgets - Possess leadership and problem-solving skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually