Senior Applied Scientist, Titan Labs
Amazon Dev Center U.S., Inc.
Santa Clara, CA
Amazon is looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading technology in language, generative AI and foundational models.
Key job responsibilities
As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning.
Key job responsibilities
As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning.
Full-time
Applied Scientist III
Amazon Development Center U.S., Inc.
Santa Clara, CA
AWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on foundation models, large-scale representation learning, and distributed learning methods and systems. At AWS AI/ML you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
* Hardware-informed efficient model architecture, training objective and curriculum design
* Distributed training, accelerated optimization methods
* Continual learning, multi-task/meta learning
* Reasoning, interactive learning, reinforcement learning
* Robustness, privacy, model watermarking
* Model compression, distillation, pruning, sparsification, quantization
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Santa Clara, CA, USA
Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
* Hardware-informed efficient model architecture, training objective and curriculum design
* Distributed training, accelerated optimization methods
* Continual learning, multi-task/meta learning
* Reasoning, interactive learning, reinforcement learning
* Robustness, privacy, model watermarking
* Model compression, distillation, pruning, sparsification, quantization
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Santa Clara, CA, USA
Full-time
Applied Scientist II, AWS AI
Amazon Dev Center U.S., Inc.
Santa Clara, CA
AWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on foundation models, large-scale representation learning, and distributed learning methods and systems. At AWS AI/ML you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
* Hardware-informed efficient model architecture, training objective and curriculum design
* Distributed training, accelerated optimization methods
* Continual learning, multi-task/meta learning
* Reasoning, interactive learning, reinforcement learning
* Robustness, privacy, model watermarking
* Model compression, distillation, pruning, sparsification, quantization
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
* Hardware-informed efficient model architecture, training objective and curriculum design
* Distributed training, accelerated optimization methods
* Continual learning, multi-task/meta learning
* Reasoning, interactive learning, reinforcement learning
* Robustness, privacy, model watermarking
* Model compression, distillation, pruning, sparsification, quantization
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Full-time
Applied Scientist III, AWS AI
Amazon Dev Center U.S., Inc.
Santa Clara, CA
AWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on foundation models, large-scale representation learning, and distributed learning methods and systems. At AWS AI/ML you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
* Hardware-informed efficient model architecture, training objective and curriculum design
* Distributed training, accelerated optimization methods
* Continual learning, multi-task/meta learning
* Reasoning, interactive learning, reinforcement learning
* Robustness, privacy, model watermarking
* Model compression, distillation, pruning, sparsification, quantization
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
* Hardware-informed efficient model architecture, training objective and curriculum design
* Distributed training, accelerated optimization methods
* Continual learning, multi-task/meta learning
* Reasoning, interactive learning, reinforcement learning
* Robustness, privacy, model watermarking
* Model compression, distillation, pruning, sparsification, quantization
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Full-time
Applied Scientist III, AWS AI
Amazon Dev Center U.S., Inc.
Santa Clara, CA
AWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on foundation models, large-scale representation learning, and distributed learning methods and systems. At AWS AI/ML you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
* Hardware-informed efficient model architecture, training objective and curriculum design
* Distributed training, accelerated optimization methods
* Continual learning, multi-task/meta learning
* Reasoning, interactive learning, reinforcement learning
* Robustness, privacy, model watermarking
* Model compression, distillation, pruning, sparsification, quantization
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
* Hardware-informed efficient model architecture, training objective and curriculum design
* Distributed training, accelerated optimization methods
* Continual learning, multi-task/meta learning
* Reasoning, interactive learning, reinforcement learning
* Robustness, privacy, model watermarking
* Model compression, distillation, pruning, sparsification, quantization
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Full-time
Commissioning Engineer
Amazon Data Services, Inc.
Santa Clara, CA
Are you experienced in Critical Infrastructure Commissioning and looking for a fast paced and cutting-edge environment to work in? As a Data Center Commissioning Engineer (CxE), you will be part of highly creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon owned data centers. The Amazon Commissioning team (ACx) understands, evaluates, defines and manages the expectations of construction quality in accordance to engineering designs to meet the customer requirements. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems such as:
-Medium and low voltage power systems
-Generators
-UPS
-HVAC (Air Handlers / Exhaust Fans / VFD)
-Chilled Water Systems
-Building Management systems (BMS)
-Electrical Power Monitoring Systems (EPMS)
-Testing and balancing
-Pumps and Hydronic systems
Physical Requirements
Walk job sites in uneven terrain
Work at heights and from ladders
Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
Carry objects weighing up to 49 pounds for short distances
Work shifts longer than eight hours in duration with potential for night and weekends
Perform physical tasks throughout the day without becoming overly tired
Ability to manipulate small wires and objects easily
Work in a noisy environment
Work in environments that are colder or hotter than a normal office environment
Additional Job Requirements
· Ability to relocate to the Santa Clara-CA, Richland-WA, Autstin-Tx area.
· Ability and willingness to travel domestic and internationally for up to 80% of the year.
· Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
Key job responsibilities
The Commissioning Engineer (CxE) provides testing and validation oversight of AWS data center electrical and mechanical infrastructure. CxEs review design documents, lead Factory Witness Testing (FWT), and manage third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. They take Ownership of their projects’ successes by Diving Deep to resolve technical issues and having Bias for Action to address everchanging schedule and coordination demands onsite. Additionally, CxEs communicate lessons learned and continuously collaborate on program improvements.
The CxE shall provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the CxE will be required to review component submittal packages, lead Factory Witness Testing (FWT), perform system level and integrated system testing. During commissioning the CxE will continuously audit activities to ensure compliance with environmental, quality, and safety requirements. Additionally, the individual will be responsible for comprehensive weekly reporting of status of all ongoing projects and lessons learned to continually improve the quality of our program. This position will include coverage of multiple inflight projects and aggressive timelines.
A day in the life
On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program.
About the team
The AWS Data Center Commissioning Team (ACx) is a wholly independent business within the DCGS organization. This team of veteran professional Electrical Engineers, Mechanical Engineers, Controls Engineers, Architectural Engineers, Project Managers, Operators and seasoned Amazonians are uniquely positioned to provide deeply detailed engineering and operational review and testing of equipment designs, operational functionality and construction practices. We are focused on ensuring the rapid delivery of a quality product while maintaining full transparency, recording metrics of manufacturer/contractor/equipment issues pre-PFHO, and identifying opportunities for all our peers and customers.
-Medium and low voltage power systems
-Generators
-UPS
-HVAC (Air Handlers / Exhaust Fans / VFD)
-Chilled Water Systems
-Building Management systems (BMS)
-Electrical Power Monitoring Systems (EPMS)
-Testing and balancing
-Pumps and Hydronic systems
Physical Requirements
Walk job sites in uneven terrain
Work at heights and from ladders
Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
Carry objects weighing up to 49 pounds for short distances
Work shifts longer than eight hours in duration with potential for night and weekends
Perform physical tasks throughout the day without becoming overly tired
Ability to manipulate small wires and objects easily
Work in a noisy environment
Work in environments that are colder or hotter than a normal office environment
Additional Job Requirements
· Ability to relocate to the Santa Clara-CA, Richland-WA, Autstin-Tx area.
· Ability and willingness to travel domestic and internationally for up to 80% of the year.
· Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
Key job responsibilities
The Commissioning Engineer (CxE) provides testing and validation oversight of AWS data center electrical and mechanical infrastructure. CxEs review design documents, lead Factory Witness Testing (FWT), and manage third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. They take Ownership of their projects’ successes by Diving Deep to resolve technical issues and having Bias for Action to address everchanging schedule and coordination demands onsite. Additionally, CxEs communicate lessons learned and continuously collaborate on program improvements.
The CxE shall provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the CxE will be required to review component submittal packages, lead Factory Witness Testing (FWT), perform system level and integrated system testing. During commissioning the CxE will continuously audit activities to ensure compliance with environmental, quality, and safety requirements. Additionally, the individual will be responsible for comprehensive weekly reporting of status of all ongoing projects and lessons learned to continually improve the quality of our program. This position will include coverage of multiple inflight projects and aggressive timelines.
A day in the life
On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program.
About the team
The AWS Data Center Commissioning Team (ACx) is a wholly independent business within the DCGS organization. This team of veteran professional Electrical Engineers, Mechanical Engineers, Controls Engineers, Architectural Engineers, Project Managers, Operators and seasoned Amazonians are uniquely positioned to provide deeply detailed engineering and operational review and testing of equipment designs, operational functionality and construction practices. We are focused on ensuring the rapid delivery of a quality product while maintaining full transparency, recording metrics of manufacturer/contractor/equipment issues pre-PFHO, and identifying opportunities for all our peers and customers.
Full-time
Principal Technical Account Manager, Strategic Enterprise Support
Amazon Web Services, Inc.
Santa Clara, CA
Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customer of all industries and sizes gain the best value and service from AWS? At AWS Enterprise Support we’re looking for a Principal Technical Account Manager to support our customers’ creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Data Analytics, Application-level services, Networking, Serverless and more. This is not a sales role, but rather an opportunity to be the principal technical advisor and ‘voice of the customer’ to large Fortune 500 and multi-national organizations.
As a Principal Technical Account Manager, you will directly influence how our largest and/or most strategic Enterprise customers use AWS. You will help executives embrace agility and deliver high impact transformation. You will interface with enterprise architects to understand business drivers and assess application portfolios ensuring that cloud solutions are highly scalable, flexible and resilient. You will serve as an advocate for your customer and help shape the future roadmap of AWS services. This position will require the ability to travel 20% or more as needed.
The Principal TAM is the quintessential centerpiece of value to our Enterprise Support Customers. If you wish to be at the forefront of innovation, come join us!
Key job responsibilities
Develop and execute on an operational support strategy that helps our customers continue to grow and be successful on the AWS platform
Explain transformational concepts to executive decision makers and influence their technology strategy
Mentor and role model for your colleagues
Keep your technical skills honed and develop new ones, to make strong contributions in the technology community
Develop a passion for educating, training and enabling cloud solutions experts for a challenging set of customers and circumstances
Build an understanding of enterprise technology adoption
Possess exceptional customer focus and a bias for action; you must work vigorously to earn and keep customer trust while communicating a bold direction that inspires results
Exhibit a passion for operational excellence by solving customer issues while teaching customers to optimize business impact
As a Principal Technical Account Manager, you will directly influence how our largest and/or most strategic Enterprise customers use AWS. You will help executives embrace agility and deliver high impact transformation. You will interface with enterprise architects to understand business drivers and assess application portfolios ensuring that cloud solutions are highly scalable, flexible and resilient. You will serve as an advocate for your customer and help shape the future roadmap of AWS services. This position will require the ability to travel 20% or more as needed.
The Principal TAM is the quintessential centerpiece of value to our Enterprise Support Customers. If you wish to be at the forefront of innovation, come join us!
Key job responsibilities
Develop and execute on an operational support strategy that helps our customers continue to grow and be successful on the AWS platform
Explain transformational concepts to executive decision makers and influence their technology strategy
Mentor and role model for your colleagues
Keep your technical skills honed and develop new ones, to make strong contributions in the technology community
Develop a passion for educating, training and enabling cloud solutions experts for a challenging set of customers and circumstances
Build an understanding of enterprise technology adoption
Possess exceptional customer focus and a bias for action; you must work vigorously to earn and keep customer trust while communicating a bold direction that inspires results
Exhibit a passion for operational excellence by solving customer issues while teaching customers to optimize business impact
Full-time
Operations Technician, DC Communities
Amazon Data Services, Inc.
Santa Clara, CA
Amazon Web Services (AWS) is currently hiring for an Engineering Technician to support our data centers. The Engineering Technician will help ensure overall availability and reliability to meet or exceed defined service levels of data center operations.
The Data Center Engineering Technician will be responsible for ensuring the overall operation and maintenance of all electrical, mechanical, and HVAC equipment within the data center. This equipment supports mission-critical servers and must maintain better than 99.999% uptime. The Data Center Engineering Technician will continue to maintain high reliability and performance while keeping operating costs in facilities at a minimum.
Engineering Technicians are Amazon’s front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They will maintain, operate, and troubleshoot, Data Center Operation’s Mission Critical Facilities, which includes stand-by diesel generators and related fuel systems, as well as three phase electrical systems such as: switch gear, UPSs, PDUs, wet cell batteries and associated systems, CRAC, centrifugal chillers, cooling towers/water chemical system, air handlers and associated systems, pumps, & motors.
Key job responsibilities
Engineering Operations Technician
A day in the life
Engineering Operations Technician
About the team
Engineering Operations Technician
We are open to hiring candidates to work out of one of the following locations:
Santa Clara, CA, USA
The Data Center Engineering Technician will be responsible for ensuring the overall operation and maintenance of all electrical, mechanical, and HVAC equipment within the data center. This equipment supports mission-critical servers and must maintain better than 99.999% uptime. The Data Center Engineering Technician will continue to maintain high reliability and performance while keeping operating costs in facilities at a minimum.
Engineering Technicians are Amazon’s front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They will maintain, operate, and troubleshoot, Data Center Operation’s Mission Critical Facilities, which includes stand-by diesel generators and related fuel systems, as well as three phase electrical systems such as: switch gear, UPSs, PDUs, wet cell batteries and associated systems, CRAC, centrifugal chillers, cooling towers/water chemical system, air handlers and associated systems, pumps, & motors.
Key job responsibilities
Engineering Operations Technician
A day in the life
Engineering Operations Technician
About the team
Engineering Operations Technician
We are open to hiring candidates to work out of one of the following locations:
Santa Clara, CA, USA
Full-time
Sr. SDE, Deep Learning Compiler Engineer, AWS Deep Engine Science
Amazon Web Services, Inc.
Santa Clara, CA
At Amazon AI, the Deep Engine Science team is working on machine learning systems to accelerate deep learning workloads on multiple hardware platforms, with the goal of making it easy for our customers to get good execution performance for machine learning models everywhere.
The AWS Deep Engine Science team is growing rapidly to keep up with the latest progress of the machine learning systems field to better serve our customers. We are hiring well-rounded applied scientists and software developers with backgrounds in machine learning, compilers, systems, and AI accelerators. If you have worked on HPC and performance tuning, you will enjoy working on the breadth of ML applications that we optimize.
As a machine learning systems developer, you will work on systematic approaches to improve the performance of deep learning models, with a focus on deep learning compilers such as Apache TVM. The work offers an extremely broad set of opportunities to work in full stack with exposure to multiple AI applications, ML frameworks, models, compilers, systems SW, and various AI hardware including ARM, Intel, Nvidia, Amazon AI accelerators, and emerging edge AI ASICs. Working at the frontier of the field, you will have the opportunity to publish in the top-tier systems and machine learning conferences.
Join the AWS Deep Engine Science team to develop machine learning systems to help AWS customers train and deploy machine learning models in the cloud and on edge devices at scale in production.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
The AWS Deep Engine Science team is growing rapidly to keep up with the latest progress of the machine learning systems field to better serve our customers. We are hiring well-rounded applied scientists and software developers with backgrounds in machine learning, compilers, systems, and AI accelerators. If you have worked on HPC and performance tuning, you will enjoy working on the breadth of ML applications that we optimize.
As a machine learning systems developer, you will work on systematic approaches to improve the performance of deep learning models, with a focus on deep learning compilers such as Apache TVM. The work offers an extremely broad set of opportunities to work in full stack with exposure to multiple AI applications, ML frameworks, models, compilers, systems SW, and various AI hardware including ARM, Intel, Nvidia, Amazon AI accelerators, and emerging edge AI ASICs. Working at the frontier of the field, you will have the opportunity to publish in the top-tier systems and machine learning conferences.
Join the AWS Deep Engine Science team to develop machine learning systems to help AWS customers train and deploy machine learning models in the cloud and on edge devices at scale in production.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Full-time
Commissioning Engineer
Amazon Data Services, Inc.
Santa Clara, CA
Are you experienced in Critical Infrastructure Commissioning and looking for a fast paced and cutting-edge environment to work in? As a Data Center Commissioning Engineer (CxE), you will be part of highly creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon owned data centers. The Amazon Commissioning team (ACx) understands, evaluates, defines and manages the expectations of construction quality in accordance to engineering designs to meet the customer requirements. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems such as:
-Medium and low voltage power systems
-Generators
-UPS
-HVAC (Air Handlers / Exhaust Fans / VFD)
-Chilled Water Systems
-Building Management systems (BMS)
-Electrical Power Monitoring Systems (EPMS)
-Testing and balancing
-Pumps and Hydronic systems
Physical Requirements
Walk job sites in uneven terrain
Work at heights and from ladders
Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
Carry objects weighing up to 49 pounds for short distances
Work shifts longer than eight hours in duration with potential for night and weekends
Perform physical tasks throughout the day without becoming overly tired
Ability to manipulate small wires and objects easily
Work in a noisy environment
Work in environments that are colder or hotter than a normal office environment
Additional Job Requirements
· Ability to relocate to the Santa Clara-CA, Richland-WA, Autstin-Tx area.
· Ability and willingness to travel domestic and internationally for up to 80% of the year.
· Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
Key job responsibilities
The Commissioning Engineer (CxE) provides testing and validation oversight of AWS data center electrical and mechanical infrastructure. CxEs review design documents, lead Factory Witness Testing (FWT), and manage third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. They take Ownership of their projects’ successes by Diving Deep to resolve technical issues and having Bias for Action to address everchanging schedule and coordination demands onsite. Additionally, CxEs communicate lessons learned and continuously collaborate on program improvements.
The CxE shall provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the CxE will be required to review component submittal packages, lead Factory Witness Testing (FWT), perform system level and integrated system testing. During commissioning the CxE will continuously audit activities to ensure compliance with environmental, quality, and safety requirements. Additionally, the individual will be responsible for comprehensive weekly reporting of status of all ongoing projects and lessons learned to continually improve the quality of our program. This position will include coverage of multiple inflight projects and aggressive timelines.
A day in the life
On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program.
About the team
The AWS Data Center Commissioning Team (ACx) is a wholly independent business within the DCGS organization. This team of veteran professional Electrical Engineers, Mechanical Engineers, Controls Engineers, Architectural Engineers, Project Managers, Operators and seasoned Amazonians are uniquely positioned to provide deeply detailed engineering and operational review and testing of equipment designs, operational functionality and construction practices. We are focused on ensuring the rapid delivery of a quality product while maintaining full transparency, recording metrics of manufacturer/contractor/equipment issues pre-PFHO, and identifying opportunities for all our peers and customers.
-Medium and low voltage power systems
-Generators
-UPS
-HVAC (Air Handlers / Exhaust Fans / VFD)
-Chilled Water Systems
-Building Management systems (BMS)
-Electrical Power Monitoring Systems (EPMS)
-Testing and balancing
-Pumps and Hydronic systems
Physical Requirements
Walk job sites in uneven terrain
Work at heights and from ladders
Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
Carry objects weighing up to 49 pounds for short distances
Work shifts longer than eight hours in duration with potential for night and weekends
Perform physical tasks throughout the day without becoming overly tired
Ability to manipulate small wires and objects easily
Work in a noisy environment
Work in environments that are colder or hotter than a normal office environment
Additional Job Requirements
· Ability to relocate to the Santa Clara-CA, Richland-WA, Autstin-Tx area.
· Ability and willingness to travel domestic and internationally for up to 80% of the year.
· Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
Key job responsibilities
The Commissioning Engineer (CxE) provides testing and validation oversight of AWS data center electrical and mechanical infrastructure. CxEs review design documents, lead Factory Witness Testing (FWT), and manage third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. They take Ownership of their projects’ successes by Diving Deep to resolve technical issues and having Bias for Action to address everchanging schedule and coordination demands onsite. Additionally, CxEs communicate lessons learned and continuously collaborate on program improvements.
The CxE shall provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the CxE will be required to review component submittal packages, lead Factory Witness Testing (FWT), perform system level and integrated system testing. During commissioning the CxE will continuously audit activities to ensure compliance with environmental, quality, and safety requirements. Additionally, the individual will be responsible for comprehensive weekly reporting of status of all ongoing projects and lessons learned to continually improve the quality of our program. This position will include coverage of multiple inflight projects and aggressive timelines.
A day in the life
On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program.
About the team
The AWS Data Center Commissioning Team (ACx) is a wholly independent business within the DCGS organization. This team of veteran professional Electrical Engineers, Mechanical Engineers, Controls Engineers, Architectural Engineers, Project Managers, Operators and seasoned Amazonians are uniquely positioned to provide deeply detailed engineering and operational review and testing of equipment designs, operational functionality and construction practices. We are focused on ensuring the rapid delivery of a quality product while maintaining full transparency, recording metrics of manufacturer/contractor/equipment issues pre-PFHO, and identifying opportunities for all our peers and customers.
Full-time
Commissioning Engineer
Amazon Data Services, Inc.
Santa Clara, CA
Are you experienced in Critical Infrastructure Commissioning and looking for a fast paced and cutting-edge environment to work in? As a Data Center Commissioning Engineer (CxE), you will be part of highly creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon owned data centers. The Amazon Commissioning team (ACx) understands, evaluates, defines and manages the expectations of construction quality in accordance to engineering designs to meet the customer requirements. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems such as:
-Medium and low voltage power systems
-Generators
-UPS
-HVAC (Air Handlers / Exhaust Fans / VFD)
-Chilled Water Systems
-Building Management systems (BMS)
-Electrical Power Monitoring Systems (EPMS)
-Testing and balancing
-Pumps and Hydronic systems
Physical Requirements
Walk job sites in uneven terrain
Work at heights and from ladders
Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
Carry objects weighing up to 49 pounds for short distances
Work shifts longer than eight hours in duration with potential for night and weekends
Perform physical tasks throughout the day without becoming overly tired
Ability to manipulate small wires and objects easily
Work in a noisy environment
Work in environments that are colder or hotter than a normal office environment
Additional Job Requirements
· Ability and willingness to travel domestic and internationally for up to 80% of the year.
· Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
Key job responsibilities
The Commissioning Engineer (CxE) provides testing and validation oversight of AWS data center electrical and mechanical infrastructure. CxEs review design documents, lead Factory Witness Testing (FWT), and manage third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. They take Ownership of their projects’ successes by Diving Deep to resolve technical issues and having Bias for Action to address everchanging schedule and coordination demands onsite. Additionally, CxEs communicate lessons learned and continuously collaborate on program improvements.
The CxE shall provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the CxE will be required to review component submittal packages, lead Factory Witness Testing (FWT), perform system level and integrated system testing. During commissioning the CxE will continuously audit activities to ensure compliance with environmental, quality, and safety requirements. Additionally, the individual will be responsible for comprehensive weekly reporting of status of all ongoing projects and lessons learned to continually improve the quality of our program. This position will include coverage of multiple inflight projects and aggressive timelines.
A day in the life
On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program.
About the team
The AWS Data Center Commissioning Team (ACx) is a wholly independent business within the DCGS organization. This team of veteran professional Electrical Engineers, Mechanical Engineers, Controls Engineers, Architectural Engineers, Project Managers, Operators and seasoned Amazonians are uniquely positioned to provide deeply detailed engineering and operational review and testing of equipment designs, operational functionality and construction practices. We are focused on ensuring the rapid delivery of a quality product while maintaining full transparency, recording metrics of manufacturer/contractor/equipment issues pre-PFHO, and identifying opportunities for all our peers and customers.
-Medium and low voltage power systems
-Generators
-UPS
-HVAC (Air Handlers / Exhaust Fans / VFD)
-Chilled Water Systems
-Building Management systems (BMS)
-Electrical Power Monitoring Systems (EPMS)
-Testing and balancing
-Pumps and Hydronic systems
Physical Requirements
Walk job sites in uneven terrain
Work at heights and from ladders
Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
Carry objects weighing up to 49 pounds for short distances
Work shifts longer than eight hours in duration with potential for night and weekends
Perform physical tasks throughout the day without becoming overly tired
Ability to manipulate small wires and objects easily
Work in a noisy environment
Work in environments that are colder or hotter than a normal office environment
Additional Job Requirements
· Ability and willingness to travel domestic and internationally for up to 80% of the year.
· Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
Key job responsibilities
The Commissioning Engineer (CxE) provides testing and validation oversight of AWS data center electrical and mechanical infrastructure. CxEs review design documents, lead Factory Witness Testing (FWT), and manage third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. They take Ownership of their projects’ successes by Diving Deep to resolve technical issues and having Bias for Action to address everchanging schedule and coordination demands onsite. Additionally, CxEs communicate lessons learned and continuously collaborate on program improvements.
The CxE shall provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the CxE will be required to review component submittal packages, lead Factory Witness Testing (FWT), perform system level and integrated system testing. During commissioning the CxE will continuously audit activities to ensure compliance with environmental, quality, and safety requirements. Additionally, the individual will be responsible for comprehensive weekly reporting of status of all ongoing projects and lessons learned to continually improve the quality of our program. This position will include coverage of multiple inflight projects and aggressive timelines.
A day in the life
On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program.
About the team
The AWS Data Center Commissioning Team (ACx) is a wholly independent business within the DCGS organization. This team of veteran professional Electrical Engineers, Mechanical Engineers, Controls Engineers, Architectural Engineers, Project Managers, Operators and seasoned Amazonians are uniquely positioned to provide deeply detailed engineering and operational review and testing of equipment designs, operational functionality and construction practices. We are focused on ensuring the rapid delivery of a quality product while maintaining full transparency, recording metrics of manufacturer/contractor/equipment issues pre-PFHO, and identifying opportunities for all our peers and customers.
Full-time
Data Center Manager
Amazon Data Services, Inc.
Santa Clara, CA
Amazon Web Services (AWS) is growing rapidly, and we are looking for a Data Center Manager to join our expanding Infrastructure Operations team
AWS is a fast paced technology company and a leader in the world of data centers. The position will help ensure overall availability and reliability to meet or exceed defined service levels of data center operations. We are currently expanding our infrastructure management team and are looking for technology managers with experience in people management, strong technical understanding and the drive and vision to take AWS Data Center Operations to the next level. The successful candidate will have experience creating/devising strategies, mentoring people in all levels, sponsoring projects and proposing technical solutions. This position involves leading teams in hardware and network diagnostics followed by physical repair and includes participation in an on-call rotation. All candidates should be willing to work both independently and managing their teams effectively. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to being successful. In addition to strong knowledge in Data Centers, hardware and network repair, candidates will create documentation, innovate solutions, participate in site-level project work, and fix complex problems within the Data Center Space. This team works in an environment that operates 24/7.
We are open to hiring candidates to work out of one of the following locations:
Santa Clara, CA, USA
AWS is a fast paced technology company and a leader in the world of data centers. The position will help ensure overall availability and reliability to meet or exceed defined service levels of data center operations. We are currently expanding our infrastructure management team and are looking for technology managers with experience in people management, strong technical understanding and the drive and vision to take AWS Data Center Operations to the next level. The successful candidate will have experience creating/devising strategies, mentoring people in all levels, sponsoring projects and proposing technical solutions. This position involves leading teams in hardware and network diagnostics followed by physical repair and includes participation in an on-call rotation. All candidates should be willing to work both independently and managing their teams effectively. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to being successful. In addition to strong knowledge in Data Centers, hardware and network repair, candidates will create documentation, innovate solutions, participate in site-level project work, and fix complex problems within the Data Center Space. This team works in an environment that operates 24/7.
We are open to hiring candidates to work out of one of the following locations:
Santa Clara, CA, USA
Full-time