דרושים United States, Upper Dublin Township

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
About the team
*Why AWS*
*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*
*Inclusive Team Culture*
*Mentorship and Career Growth*
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- B.S. in Electrical, Mechanical, or other related engineering degrees as well as 10+ years Controls related experience; or Associates degree and 12+ years of Controls related experience; or High School diploma with 15 years of Controls related experience
- 6+ years hiring, promoting, coaching, leading, and developing teams of controls professionals.
- 6+ years with industrial controls in critical environment (data center, pharmaceutical, manufacturing, oil & gas, petrochemical, laboratory, power, water etc.).
- 6+ years of general project or vendor management experience (request for proposals, bidding, change orders, quality control, and RFI and submittal tracking) associated with project execution.

- M.S. in Electrical Engineering, Mechanical Engineering, Engineering Technology, HVAC, or other related engineering degrees as well as ten (10) years related experience; or an equivalent combination of education and experience.
- Project Management Professional (PMP) or equivalent.
- Certified as a Professional Engineer (PE), LEED
- Prior AWS/Amazon experience
- 5+ Yr. Military Service

· Walk job sites in uneven terrain
· Work at heights and from ladders
· Regularly lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
· Bend or twist the body into unusual positions while working
· Push or pull heavy objects into position
· Work in noisy environments
Ability to work non-standard hours including nights and weekends.This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility.Related Military Ratings/MOSs
- Navy: AD, AE, AT, CE, CM, EM, EMN, ET, ETN, FC, FT, MM, MMN, EN, STG, STS, UT
- Army:15D, 15F, 15X, 15Y, 21P, 21Q, 21R, 31L, 35N, 52C, 52D, 52F
- Marines:612, 613, 1141, 1142, 1161, 6073, 6322, 6323, 6324, 6326, 6332, 6333, 6336, 6337
- Air Force: 3E531, 3E631, 3E032, 3E131, 3E331, 3E431, 2M033, 3D136, 3D137, 3E031Key job responsibilities
- Operate and maintain mechanical and electrical, mechanical, emergency generator, and fire/life safety equipment within the data center
- Troubleshoot of facility and rack-level events within internal SLAs
- Perform limited maintenance tasks to including filter changes, HVAC PMs, rack power installs, rack PDU, and rack ATS replacements
- Provide support to Data Center Operations technicians
- Perform root cause analysis of equipment failures
- Ensure all safety procedures are adhered to while performing work
- Work a 12 hour shift (rotating 3 and 4 day work weeks days or nights)
- Take daily operational readings of all mechanical and electrical equipment through routine rounds/log taking (temperatures, voltages, currents, etc.)
- Utilize internal CMMS to manage building workflows and spare part inventory
- Supervise contractors who perform servicing or preventive maintenance
- Respond to off hour emergency calls per on call rotation for any one of the region’s sites
- Fully comply with all physical security procedures and policies
- Drive innovation while reducing operational costs in the facilities
- Manipulate small wires and objects
A day in the life
After an initial training period, you will support data center infrastructure operations on a shift schedule supporting our 24/7 staffing model. You will get information from your peer technicians who are ending shift, review the maintenance schedule for any tasks due that day, and then perform routine physical checks of our critical systems. After these rounds are complete, you and your shift partner will perform preventative maintenance, troubleshoot technical issues, take repair actions, and perform facility maintenance. You will also author technical procedures, work orders, and work on advanced qualifications and projects as your career progresses at AWS!
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3+ years of maintenance experience on mechanical or electrical equipment
- Current, active US Government Security Clearance of Top Secret with SCI eligibility or above

- Associate’s Degree in Electrical Engineering, Mechanical Engineering or relevant discipline
- Data Center Operations Experience or experience operating electrical or mechanical systems in a mission critical environment (i.e. military, telecom, etc.)
- Fundamental knowledge of network design and layout as well as low voltage (copper/ fiber) cabling
- Experience with building management systems (BMS and EPMS control systems) and data collection/trending
- Operating engineering license(s) such as DC II, DC III, or equivalent, Electrical or mechanical Journeyman License, CFC license (Universal or minimum Type II), and/or NFPA 70E Cert

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvementsA day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

- Bachelor’s degree in a relevant field or equivalent professional experience
- 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.-based culture, society, and norms.
- Comfortable with high-school level STEM*
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content

We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you’ll work directly with a variety of interesting customers and diagnostics startups) and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.As a member of the Generative AI Startups team, you will work directly with customers to help them successfully leverage AWS technology to develop, train, tune, and deploy the next generation of generative AI foundation models at scale.As well as spending time working directly with customers, you’ll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it’s important that we can help startups take advantages of the right ones. You’ll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don’t get to work with on a 1:1 basis you’ll share knowledge more broadly by working on technical content and presenting at events.Key job responsibilities
-Help a diverse range of generative AI-focused startups to adopt the right architecture at each part of their lifecycle
-Support startups in architecting scalable, reliable and secure solutions
-Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCsA day in the life
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities