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cloud support engineer
Data Center Technician
Amazon Data Services, Inc. Umatilla, Oregon
Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technicians should be willing to work both independently and with a team. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to success. In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an environment that operates 24/7. Traveling within and outside of the regional work area is required. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States). NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. is position. Key job responsibilities • Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, and responding to operational incidents that impact service availability, escalating to senior technicians and management as needed/required • Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors • Performing on-call duties and participating in scheduled maintenance and change management activities • Contributing to documentation and process improvement initiatives based on your analysis of operational issues • Helping to train and onboard new team members Physical requirements: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Working in cramped and/or elevated locations • Bending, lifting, stretching, and reaching • Standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation • Work in a noisy environment • Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life As a Data Center Technician professional, you have industry-leading technical abilities and demonstrate a breadth of knowledge while you: • Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution • Solve problems at their root and step back to understand the broader context • Maintain service level agreements through the implementation of proactive issue detection and reporting You will be required to work shift work that will include days/nights/weekends/holidays. Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. BASIC QUALIFICATIONS - 1+ years of computer/server hardware troubleshooting or related IT experience - High school or equivalent diploma - Work a flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and Layer 1/2 troubleshooting - Associate's degree in a relevant field (e.g., Computer Science, Networking Engineering), or experience in a relevant field (e.g., Computer Science, Networking Engineering) - Experience managing work and priorities through a ticketing system - Experience in a data center or other critical environment 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OR, Umatilla - 27.00 - 48.00 USD hourly
08/05/2026
Full time
Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technicians should be willing to work both independently and with a team. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to success. In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an environment that operates 24/7. Traveling within and outside of the regional work area is required. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States). NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. is position. Key job responsibilities • Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, and responding to operational incidents that impact service availability, escalating to senior technicians and management as needed/required • Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors • Performing on-call duties and participating in scheduled maintenance and change management activities • Contributing to documentation and process improvement initiatives based on your analysis of operational issues • Helping to train and onboard new team members Physical requirements: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Working in cramped and/or elevated locations • Bending, lifting, stretching, and reaching • Standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation • Work in a noisy environment • Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life As a Data Center Technician professional, you have industry-leading technical abilities and demonstrate a breadth of knowledge while you: • Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution • Solve problems at their root and step back to understand the broader context • Maintain service level agreements through the implementation of proactive issue detection and reporting You will be required to work shift work that will include days/nights/weekends/holidays. Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. BASIC QUALIFICATIONS - 1+ years of computer/server hardware troubleshooting or related IT experience - High school or equivalent diploma - Work a flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and Layer 1/2 troubleshooting - Associate's degree in a relevant field (e.g., Computer Science, Networking Engineering), or experience in a relevant field (e.g., Computer Science, Networking Engineering) - Experience managing work and priorities through a ticketing system - Experience in a data center or other critical environment 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OR, Umatilla - 27.00 - 48.00 USD hourly
NW Deployment Build Lead I, DC Global Network Delivery
Amazon Data Services, Inc. Berwick, Pennsylvania
Amazon Web Services (AWS) is looking for a Network Technician to join our growing team within infrastructure operations. You will work in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include capacity scaling support of several data center locations and day to day assistance with capacity management. You will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Network Scaling Leadership and Technical Program Managers. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting. As a NW Deployment Build Lead I you will work in a fast paced, collaborative environment with regular peer and customer interaction. In addition to providing management and support of Amazon Web Services vast network infrastructure, Network Technicians establish and follow best practices and refine operational procedures. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. Key job responsibilities Build out first level router-aggregates, build the console network for new rooms, and support network scaling projects Any physical requirements are expectations with reasonable accommodations Manage work and priorities through ticketing system and workflows to complete customer requests and projects Collaboration with various stake holders to remove project obstacles Troubleshoot networking, routing and inter connectivity issues, including troubleshooting of network device configuration and low level application interaction Up to 60% travel within geographical work area is required. Some travel outside traditional work area may be requested, including internationally Troubleshooting cabling infrastructure connectivity issues, including patch panels and patch cords. Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment Participate in the migration, basic configuration and rollout of new or upgraded hardware Moving and lifting computer equipment up to 50 lbs A day in the life Our team has three primary tasks: 1. Providing the first level networking devices to serve our customer racks entails various tasks (the name of the game is efficiency): You will track network rack intake and delivery; work with various onsite teams to request for rack space, power, and cooling for network racks. And then partner with network engineers to ensure all configurations are ready. You'll also be working on link and device troubleshooting within a certain Service-Level Agreement 2. There is also console builds (and room builds) that are really exciting. You'll be exposed to more teams whose goal is to provide more space and capacity for customer racks. 3. Work with ID-Scaling peers to build higher-level networking devices. About the team Our Philadelphia Region is expanding into an ML Cluster, and we are very excited to expand our team with dedicated Infrastructure Deployment Technicians to help our scaling our network and server capacity. This team covers the whole Pennsylvania region with all the sites inside and outside the perimeter. There is travel involved as we move where the capacity is needed. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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 value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. 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. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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 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 . USA, PA, Berwick - 30.00 - 54.00 USD hourly
08/05/2026
Full time
Amazon Web Services (AWS) is looking for a Network Technician to join our growing team within infrastructure operations. You will work in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include capacity scaling support of several data center locations and day to day assistance with capacity management. You will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Network Scaling Leadership and Technical Program Managers. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting. As a NW Deployment Build Lead I you will work in a fast paced, collaborative environment with regular peer and customer interaction. In addition to providing management and support of Amazon Web Services vast network infrastructure, Network Technicians establish and follow best practices and refine operational procedures. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. Key job responsibilities Build out first level router-aggregates, build the console network for new rooms, and support network scaling projects Any physical requirements are expectations with reasonable accommodations Manage work and priorities through ticketing system and workflows to complete customer requests and projects Collaboration with various stake holders to remove project obstacles Troubleshoot networking, routing and inter connectivity issues, including troubleshooting of network device configuration and low level application interaction Up to 60% travel within geographical work area is required. Some travel outside traditional work area may be requested, including internationally Troubleshooting cabling infrastructure connectivity issues, including patch panels and patch cords. Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment Participate in the migration, basic configuration and rollout of new or upgraded hardware Moving and lifting computer equipment up to 50 lbs A day in the life Our team has three primary tasks: 1. Providing the first level networking devices to serve our customer racks entails various tasks (the name of the game is efficiency): You will track network rack intake and delivery; work with various onsite teams to request for rack space, power, and cooling for network racks. And then partner with network engineers to ensure all configurations are ready. You'll also be working on link and device troubleshooting within a certain Service-Level Agreement 2. There is also console builds (and room builds) that are really exciting. You'll be exposed to more teams whose goal is to provide more space and capacity for customer racks. 3. Work with ID-Scaling peers to build higher-level networking devices. About the team Our Philadelphia Region is expanding into an ML Cluster, and we are very excited to expand our team with dedicated Infrastructure Deployment Technicians to help our scaling our network and server capacity. This team covers the whole Pennsylvania region with all the sites inside and outside the perimeter. There is travel involved as we move where the capacity is needed. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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 value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. 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. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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 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 . USA, PA, Berwick - 30.00 - 54.00 USD hourly
Data Center Technician
Amazon Data Services, Inc. Wilmer, Texas
Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technician position involves in-depth hardware and network diagnostics followed by physical repair as well as participating in an on-call rotation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities - Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, responding to operational incidents that impact service availability, and carrying out routine network, server hardware, and operating system repairs to contribute to the overall availability of AWS services - Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors - Performing on-call duties and participating in scheduled maintenance and change management activities - Contributing to documentation and process improvement initiatives based on your analysis of operational issues - Helping to interview, train and onboard new team members Physical Requirements: - Lifting and moving material up to 40 pounds each - Working in cramped and/or elevated locations - Bending, lifting, stretching, and reaching - Standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation - Work in an industrial environment - Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). - This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: - Ability to travel to or commute between data center locations as needed - Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational - Travel frequency will vary based on business needs and operational status of assigned facility - Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life Our Data Center Technician professionals, who have industry-leading technical abilities and demonstrate a breadth of knowledge while they: - Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution - Show a strong aptitude for troubleshooting and problem solving - Solve problems at their root and step back to understand the broader context - Maintain service level agreements through the implementation of proactive issue detection and reporting - Are biased to act in the absence of direction or support - Improve effectiveness through process innovation You will be required to work shift work that will include days/nights/weekends/holidays. BASIC QUALIFICATIONS - 2+ years of computer/server hardware troubleshooting experience, or experience related IT - 2+ years of computer layer 1/2 networking (including troubleshooting and repair) experience - Work flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and troubleshooting - Knowledge of Linux/Unix Administration - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - Experience in a data center or other critical environment - Experience training and onboarding of new team members 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 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 . USA, TX, Wilmer - 30.91 - 54.18 USD hourly
08/05/2026
Full time
Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technician position involves in-depth hardware and network diagnostics followed by physical repair as well as participating in an on-call rotation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities - Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, responding to operational incidents that impact service availability, and carrying out routine network, server hardware, and operating system repairs to contribute to the overall availability of AWS services - Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors - Performing on-call duties and participating in scheduled maintenance and change management activities - Contributing to documentation and process improvement initiatives based on your analysis of operational issues - Helping to interview, train and onboard new team members Physical Requirements: - Lifting and moving material up to 40 pounds each - Working in cramped and/or elevated locations - Bending, lifting, stretching, and reaching - Standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation - Work in an industrial environment - Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). - This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: - Ability to travel to or commute between data center locations as needed - Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational - Travel frequency will vary based on business needs and operational status of assigned facility - Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life Our Data Center Technician professionals, who have industry-leading technical abilities and demonstrate a breadth of knowledge while they: - Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution - Show a strong aptitude for troubleshooting and problem solving - Solve problems at their root and step back to understand the broader context - Maintain service level agreements through the implementation of proactive issue detection and reporting - Are biased to act in the absence of direction or support - Improve effectiveness through process innovation You will be required to work shift work that will include days/nights/weekends/holidays. BASIC QUALIFICATIONS - 2+ years of computer/server hardware troubleshooting experience, or experience related IT - 2+ years of computer layer 1/2 networking (including troubleshooting and repair) experience - Work flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and troubleshooting - Knowledge of Linux/Unix Administration - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - Experience in a data center or other critical environment - Experience training and onboarding of new team members 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 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 . USA, TX, Wilmer - 30.91 - 54.18 USD hourly
Data Center Chief Engineer , AWS Opportunity for Military Community
Amazon Data Services, Inc. Sparks, Nevada
This opportunity is for U.S. citizens who have served in the U.S. Armed Forces including Reserves, National Guard, and service member spouses. How would you like to be a part of Earth's most customer-centric company? You would work with teams of front-line responders who support the operations of some of the world's most powerful data centers. Our Data Center Engineering Operations team maintain and operate our critical infrastructure systems so that they are prepared to stand up against any situation. AWS has the world's largest cloud computing portfolio. As an Amazonian you will work in some of the most sophisticated, safe, and secure data centers in the world. Our Chief Engineers (CE) help keep them that way by working with the brightest minds from around the globe to help test and implement the newest technology and work practices to meet the demands of a changing market. We have a passion for learning and evolving, it's how we have helped define ourselves as leaders in the industry. Let's work hard, have fun, and make history! Key job responsibilities - Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - Perform root cause analysis of equipment failures, and troubleshooting of facility within internal Service Level Agreements (SLA). - Provide training and guidance to Engineering Operations Technicians and responsible for working with Facility Manager (FM) to set team culture. - Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams - May assist in the build out of new facilities and assist in projects to increase current facility efficiency - Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. - Communicate complex technical information to a non-technical audience. - Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency - Ensure all safety procedures are adhered to by vendor and Amazon staff - Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance. - Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day to day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodations: - Regularly lift and/or move up to 39 pounds independently - Participate in group lifts for 40+ pounds - Maintain balance and perform construction tasks while on a ladder - Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position - Work in an environment requiring provided ear protection A day in the life This role acts as Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They maintain, operate, and troubleshoot mission-critical data center facility equipment including electrical support equipment that supports servers that must maintain better than 99.999% uptime. Equipment will include but is not limited to stand-by diesel generators and related fuel systems, 3 phase electrical systems such as switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAHU units, centrifugal chillers, cooling towers, water systems, air handlers and associated systems, pumps, and motors. Additional support equipment is included in the scope of the role which includes fire/life safety equipment, building automation systems, and general facilities equipment. The CE directs, trains and supports technicians in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. They manage projects from conception to completion. These projects involve independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & 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. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of Microsoft Office products and applications experience - 3+ years of mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience including industrial electrical and mechanical systems - Experience with reading and writing procedures, technical documents, and engineering drawings PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Must be able to work in an environment that involves walking, stooping, bending, and climbing to access equipment. 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 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 . USA, NV, Sparks - 96 300.00 USD annually
08/05/2026
Full time
This opportunity is for U.S. citizens who have served in the U.S. Armed Forces including Reserves, National Guard, and service member spouses. How would you like to be a part of Earth's most customer-centric company? You would work with teams of front-line responders who support the operations of some of the world's most powerful data centers. Our Data Center Engineering Operations team maintain and operate our critical infrastructure systems so that they are prepared to stand up against any situation. AWS has the world's largest cloud computing portfolio. As an Amazonian you will work in some of the most sophisticated, safe, and secure data centers in the world. Our Chief Engineers (CE) help keep them that way by working with the brightest minds from around the globe to help test and implement the newest technology and work practices to meet the demands of a changing market. We have a passion for learning and evolving, it's how we have helped define ourselves as leaders in the industry. Let's work hard, have fun, and make history! Key job responsibilities - Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - Perform root cause analysis of equipment failures, and troubleshooting of facility within internal Service Level Agreements (SLA). - Provide training and guidance to Engineering Operations Technicians and responsible for working with Facility Manager (FM) to set team culture. - Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams - May assist in the build out of new facilities and assist in projects to increase current facility efficiency - Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. - Communicate complex technical information to a non-technical audience. - Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency - Ensure all safety procedures are adhered to by vendor and Amazon staff - Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance. - Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day to day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodations: - Regularly lift and/or move up to 39 pounds independently - Participate in group lifts for 40+ pounds - Maintain balance and perform construction tasks while on a ladder - Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position - Work in an environment requiring provided ear protection A day in the life This role acts as Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They maintain, operate, and troubleshoot mission-critical data center facility equipment including electrical support equipment that supports servers that must maintain better than 99.999% uptime. Equipment will include but is not limited to stand-by diesel generators and related fuel systems, 3 phase electrical systems such as switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAHU units, centrifugal chillers, cooling towers, water systems, air handlers and associated systems, pumps, and motors. Additional support equipment is included in the scope of the role which includes fire/life safety equipment, building automation systems, and general facilities equipment. The CE directs, trains and supports technicians in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. They manage projects from conception to completion. These projects involve independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & 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. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of Microsoft Office products and applications experience - 3+ years of mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience including industrial electrical and mechanical systems - Experience with reading and writing procedures, technical documents, and engineering drawings PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Must be able to work in an environment that involves walking, stooping, bending, and climbing to access equipment. 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 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 . USA, NV, Sparks - 96 300.00 USD annually
Data Center Technician, Infraops AG
Amazon Data Services, Inc. Aurora, Colorado
Application deadline: Aug 9, 2026 The Infrastructure Operations team is looking for cleared Data Center Technicians to join our expanding Infrastructure Operations team. Data Center Technicians are the primary resolver and troubleshoot and solve a range of datacenter infrastructure issues including, but not limited to: hardware, fiber, networking, and related problems. If you like to use IT principles like computer architecture and the OSI model (Open Systems Interconnection Model) and apply them to finding solutions to problems, we'd like to meet you. Your work will help to maintain one of the world's largest information system infrastructures. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. Key job responsibilities You will be required to engage in physical data center activities with or without reasonable accommodation. This includes all tasks associated with planning and tracking capacity, rack deployment, rack cabling, hardware and software troubleshooting, and rack decommissioning. These activities include the following: - Lifting and moving material up to 40 pounds each - Working in cramped and/or elevated locations - Bending, lifting, stretching, and reaching - Standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation - Work in a noisy environment - Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). A day in the life Our Data Center Technician professionals, who have industry-leading technical abilities and demonstrate a breadth of knowledge: - Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution - Show a strong aptitude for troubleshooting and problem solving - Solve problems at their root and step back to understand the broader context - Maintain service level agreements through the implementation of proactive issue detection and reporting - Are biased to act in the absence of direction or support - Improve effectiveness through process innovation - This position will fill an opening at one of multiple separate sites. This position may shift work that will include days/nights/weekends/holidays. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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 Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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 value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 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. BASIC QUALIFICATIONS - High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+ - 2+ years of server hardware troubleshooting and repair experience - Current, active US Government Security Clearance of TS/SCI with Polygraph - Active Security+ certification or ability to obtain one within 90 days of start. PREFERRED QUALIFICATIONS - Knowledge of hardware platforms - 1+ years of computer networking experience - Bachelor's degree in an IT-related field or equivalent professional or military experience 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 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 . USA, CO, Aurora - 39.00 - 68.00 USD hourly
08/05/2026
Full time
Application deadline: Aug 9, 2026 The Infrastructure Operations team is looking for cleared Data Center Technicians to join our expanding Infrastructure Operations team. Data Center Technicians are the primary resolver and troubleshoot and solve a range of datacenter infrastructure issues including, but not limited to: hardware, fiber, networking, and related problems. If you like to use IT principles like computer architecture and the OSI model (Open Systems Interconnection Model) and apply them to finding solutions to problems, we'd like to meet you. Your work will help to maintain one of the world's largest information system infrastructures. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. Key job responsibilities You will be required to engage in physical data center activities with or without reasonable accommodation. This includes all tasks associated with planning and tracking capacity, rack deployment, rack cabling, hardware and software troubleshooting, and rack decommissioning. These activities include the following: - Lifting and moving material up to 40 pounds each - Working in cramped and/or elevated locations - Bending, lifting, stretching, and reaching - Standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation - Work in a noisy environment - Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). A day in the life Our Data Center Technician professionals, who have industry-leading technical abilities and demonstrate a breadth of knowledge: - Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution - Show a strong aptitude for troubleshooting and problem solving - Solve problems at their root and step back to understand the broader context - Maintain service level agreements through the implementation of proactive issue detection and reporting - Are biased to act in the absence of direction or support - Improve effectiveness through process innovation - This position will fill an opening at one of multiple separate sites. This position may shift work that will include days/nights/weekends/holidays. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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 Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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 value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 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. BASIC QUALIFICATIONS - High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+ - 2+ years of server hardware troubleshooting and repair experience - Current, active US Government Security Clearance of TS/SCI with Polygraph - Active Security+ certification or ability to obtain one within 90 days of start. PREFERRED QUALIFICATIONS - Knowledge of hardware platforms - 1+ years of computer networking experience - Bachelor's degree in an IT-related field or equivalent professional or military experience 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 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 . USA, CO, Aurora - 39.00 - 68.00 USD hourly
Data Center Technician, ADC InfraOps DCO Tech
Amazon Data Services, Inc. Plain City, Ohio
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. As a Data Center Technician, you are a primary resolver for your support team, and are skilled at troubleshooting one or more operating systems. You are able to troubleshoot and solve all but the most complex infrastructure issues. Issues are escalated to the appropriate resolver groups when necessary. You create and maintain documentation on technologies you support and are able to convey SOPs to junior staff. You understand all aspects of the equipment you support. You know how to innovate and make decisions on his/her own, but also know how to take direction when it is given, paying attention to all details involved. You are able to execute small projects on your own and work with your manager in planning and executing larger local projects. You act as an escalation point for junior technicians. You understand all aspects of the equipment you support. Position may include rotating shifts, 3, 4, or 5 day/night work weeks, and may change based on the needs of the business. Travel may be required up to 10% of the time. This position will fill an opening at one of multiple separate sites. 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. About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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 value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 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. BASIC QUALIFICATIONS - High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+ - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Knowledge of hardware platforms - 1+ years of computer networking experience, or experience in computer networking - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OH, Plain City - 33.00 - 58.00 USD hourly
08/05/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. As a Data Center Technician, you are a primary resolver for your support team, and are skilled at troubleshooting one or more operating systems. You are able to troubleshoot and solve all but the most complex infrastructure issues. Issues are escalated to the appropriate resolver groups when necessary. You create and maintain documentation on technologies you support and are able to convey SOPs to junior staff. You understand all aspects of the equipment you support. You know how to innovate and make decisions on his/her own, but also know how to take direction when it is given, paying attention to all details involved. You are able to execute small projects on your own and work with your manager in planning and executing larger local projects. You act as an escalation point for junior technicians. You understand all aspects of the equipment you support. Position may include rotating shifts, 3, 4, or 5 day/night work weeks, and may change based on the needs of the business. Travel may be required up to 10% of the time. This position will fill an opening at one of multiple separate sites. 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. About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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 value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 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. BASIC QUALIFICATIONS - High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+ - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Knowledge of hardware platforms - 1+ years of computer networking experience, or experience in computer networking - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OH, Plain City - 33.00 - 58.00 USD hourly
Data Center Manager, DCC Communities
Amazon Data Services, Inc. Mineral, Virginia
We are currently expanding our infrastructure management team and are looking for proven technology managers with experience in people management, strong technical understanding and the drive and vision to take Data Center Operations to the next level. The successful candidate will have experience managing people with varying skillsets, devising strategies, mentoring people in all levels, sponsoring projects, and proposing technical solutions. This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. 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. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements. This position requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities - Prioritize and assign trouble tickets to data center technicians and operators - Routinely review ticket queue for large events and address accordingly - Coordinate change management resources - Guide, train and educate data staff on the best practices related to all service owner issues - Manage and deliver mid-size projects - Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs - Manage a diverse team of data technicians with varying skills - Provide weekly report to the data center manager - Maintain the on-call schedule coordinating absence and vacations - Recruit and train data technicians to ensure appropriate staffing levels - Host weekly staff meetings - Write and deliver performance reviews for staff About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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 Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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 value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 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. BASIC QUALIFICATIONS - 2+ years of people management experience - 3+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent - 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities, or 1+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Experience in project or program management - 1+ years of data center engineering or operations experience - Experience with project management - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Meets/exceeds Amazon's leadership principles requirements for this role - Meets/exceeds Amazon's functional/technical depth and complexity for this role - In-depth hardware knowledge and troubleshooting experience, system management tools and client/server environments 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 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 . USA, VA, Mineral - 78 300.00 USD annually
08/05/2026
Full time
We are currently expanding our infrastructure management team and are looking for proven technology managers with experience in people management, strong technical understanding and the drive and vision to take Data Center Operations to the next level. The successful candidate will have experience managing people with varying skillsets, devising strategies, mentoring people in all levels, sponsoring projects, and proposing technical solutions. This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. 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. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements. This position requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities - Prioritize and assign trouble tickets to data center technicians and operators - Routinely review ticket queue for large events and address accordingly - Coordinate change management resources - Guide, train and educate data staff on the best practices related to all service owner issues - Manage and deliver mid-size projects - Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs - Manage a diverse team of data technicians with varying skills - Provide weekly report to the data center manager - Maintain the on-call schedule coordinating absence and vacations - Recruit and train data technicians to ensure appropriate staffing levels - Host weekly staff meetings - Write and deliver performance reviews for staff About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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 Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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 value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 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. BASIC QUALIFICATIONS - 2+ years of people management experience - 3+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent - 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities, or 1+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Experience in project or program management - 1+ years of data center engineering or operations experience - Experience with project management - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Meets/exceeds Amazon's leadership principles requirements for this role - Meets/exceeds Amazon's functional/technical depth and complexity for this role - In-depth hardware knowledge and troubleshooting experience, system management tools and client/server environments 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 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 . USA, VA, Mineral - 78 300.00 USD annually
Data Center Technician Night Role
Amazon Data Services, Inc. Wilmer, Texas
Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technician position involves in-depth hardware and network diagnostics followed by physical repair as well as participating in an on-call rotation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities - Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, responding to operational incidents that impact service availability, and carrying out routine network, server hardware, and operating system repairs to contribute to the overall availability of AWS services - Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors - Performing on-call duties and participating in scheduled maintenance and change management activities - Contributing to documentation and process improvement initiatives based on your analysis of operational issues - Helping to interview, train and onboard new team members Physical Requirements: - Lifting and moving material up to 40 pounds each - Working in cramped and/or elevated locations - Bending, lifting, stretching, and reaching - Standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation - Work in an industrial environment - Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). - This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: - Ability to travel to or commute between data center locations as needed - Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational - Travel frequency will vary based on business needs and operational status of assigned facility - Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life Our Data Center Technician professionals, who have industry-leading technical abilities and demonstrate a breadth of knowledge while they: - Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution - Show a strong aptitude for troubleshooting and problem solving - Solve problems at their root and step back to understand the broader context - Maintain service level agreements through the implementation of proactive issue detection and reporting - Are biased to act in the absence of direction or support - Improve effectiveness through process innovation You will be required to work shift work that will include days/nights/weekends/holidays. BASIC QUALIFICATIONS - 2+ years of computer/server hardware troubleshooting experience, or experience related IT - 2+ years of computer layer 1/2 networking (including troubleshooting and repair) experience - Work flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and troubleshooting - Knowledge of Linux/Unix Administration - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - Experience in a data center or other critical environment - Experience training and onboarding of new team members 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 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 . USA, TX, Wilmer - 30.00 - 54.00 USD hourly
08/05/2026
Full time
Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technician position involves in-depth hardware and network diagnostics followed by physical repair as well as participating in an on-call rotation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities - Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, responding to operational incidents that impact service availability, and carrying out routine network, server hardware, and operating system repairs to contribute to the overall availability of AWS services - Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors - Performing on-call duties and participating in scheduled maintenance and change management activities - Contributing to documentation and process improvement initiatives based on your analysis of operational issues - Helping to interview, train and onboard new team members Physical Requirements: - Lifting and moving material up to 40 pounds each - Working in cramped and/or elevated locations - Bending, lifting, stretching, and reaching - Standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation - Work in an industrial environment - Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). - This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: - Ability to travel to or commute between data center locations as needed - Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational - Travel frequency will vary based on business needs and operational status of assigned facility - Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life Our Data Center Technician professionals, who have industry-leading technical abilities and demonstrate a breadth of knowledge while they: - Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution - Show a strong aptitude for troubleshooting and problem solving - Solve problems at their root and step back to understand the broader context - Maintain service level agreements through the implementation of proactive issue detection and reporting - Are biased to act in the absence of direction or support - Improve effectiveness through process innovation You will be required to work shift work that will include days/nights/weekends/holidays. BASIC QUALIFICATIONS - 2+ years of computer/server hardware troubleshooting experience, or experience related IT - 2+ years of computer layer 1/2 networking (including troubleshooting and repair) experience - Work flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and troubleshooting - Knowledge of Linux/Unix Administration - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - Experience in a data center or other critical environment - Experience training and onboarding of new team members 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 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 . USA, TX, Wilmer - 30.00 - 54.00 USD hourly
Network Deployment Lead, DC Communities
Amazon Data Services, Inc. Berwick, Pennsylvania
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. Our team is growing and we are looking to hire a motivated Network Deployment Project Lead to join our growing Infrastructure Delivery team. The role encompasses end-to-end ownership of medium to large-scale Data Center cabling deployments including migrations, new sites, and new regions. This role includes: • Initial cabling planning, installation, validation, and quality assessment. • Engaging external contractors including newly onboarded cabling vendors. • Planning and working with a wide range of project stakeholders to determine device and cabling requirements, scheduling resources to meet project timelines, engage external vendors, and continuous status reporting. • Installation of, racking and stacking networking devices, running and patching fiber cabling, and configuring devices using automation tools and the command line interface. • Validation, device troubleshooting and stress testing prior to capacity delivery. Our ideal candidate is someone who enjoys working autonomously, is detail oriented, possesses strong written and verbal communication skills as well as being competent in all aspects of installation and troubleshooting of networking hardware, software and fiber connectivity. This position requires that you will work with minimum supervision to assist in the development of innovative ways to automate and scale our data center deployments as we expand. 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 Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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 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 . USA, PA, Berwick - 30.00 - 54.00 USD hourly
08/05/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. Our team is growing and we are looking to hire a motivated Network Deployment Project Lead to join our growing Infrastructure Delivery team. The role encompasses end-to-end ownership of medium to large-scale Data Center cabling deployments including migrations, new sites, and new regions. This role includes: • Initial cabling planning, installation, validation, and quality assessment. • Engaging external contractors including newly onboarded cabling vendors. • Planning and working with a wide range of project stakeholders to determine device and cabling requirements, scheduling resources to meet project timelines, engage external vendors, and continuous status reporting. • Installation of, racking and stacking networking devices, running and patching fiber cabling, and configuring devices using automation tools and the command line interface. • Validation, device troubleshooting and stress testing prior to capacity delivery. Our ideal candidate is someone who enjoys working autonomously, is detail oriented, possesses strong written and verbal communication skills as well as being competent in all aspects of installation and troubleshooting of networking hardware, software and fiber connectivity. This position requires that you will work with minimum supervision to assist in the development of innovative ways to automate and scale our data center deployments as we expand. 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 Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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 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 . USA, PA, Berwick - 30.00 - 54.00 USD hourly
Infrastructure Delivery Rack Migration Technician, Global Data Center Operations (GDCO)
Amazon Data Services, Inc. Hermiston, Oregon
Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Network Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States). NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities Moving and implementing large enterprise equipment Installing Fiber and Copper cabling and patching cabling between equipment Ensuring proper safety and security standards are maintained during cabling and rack installation, Following well established hardware installation procedures and break-fix activities Safely using material handling tools and equipment Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided Physical Requirements: Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed Working in cramped and/or elevated and/or noisy environments Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: Ability to travel to or commute between data center locations as needed Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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 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 . USA, OR, Hermiston - 30.00 - 54.00 USD hourly
08/05/2026
Full time
Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Network Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. 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. NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States). NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities Moving and implementing large enterprise equipment Installing Fiber and Copper cabling and patching cabling between equipment Ensuring proper safety and security standards are maintained during cabling and rack installation, Following well established hardware installation procedures and break-fix activities Safely using material handling tools and equipment Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided Physical Requirements: Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed Working in cramped and/or elevated and/or noisy environments Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: Ability to travel to or commute between data center locations as needed Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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 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 . USA, OR, Hermiston - 30.00 - 54.00 USD hourly
Senior RF Desense Engineer
Zipline South San Francisco, California
Job Description Job Description: About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.About You and The Role Zipline is seeking a Senior RF Desense Engineer to lead the architecture, analysis, mitigation, validation, and long-term improvement of RF desense performance across our autonomous aircraft and ground infrastructure. You will own receiver desense engineering from early system architecture through hardware integration, validation, manufacturing, certification, and field deployment. You will work across wireless platforms supporting 4G LTE, 5G NR, GNSS, Wi-Fi, ADS-B, UAT, Bluetooth, ISM radios, emerging Vehicle-to-Vehicle (V2V) communications, and future air-to-ground communication systems, ensuring receivers maintain robust performance despite increasingly dense RF and electronic environments. This role also owns the end-to-end electromagnetic shielding architecture across Zipline's wireless platforms. You will define shielding strategies spanning RF integrated circuits, front-end modules, connectors, cable harnesses, line-replaceable units (LRUs), subsystem enclosures, and complete products to control both internally generated and externally coupled interference. Working closely with electrical, mechanical, antenna, manufacturing, reliability, and systems teams, you will develop scalable shielding solutions that enable simultaneous operation of multiple high-power transmitters and high-sensitivity receivers-including precision GNSS systems-while meeting aggressive performance, reliability, manufacturability, weight, cost, and product lifetime requirements. While the primary focus of this role is receiver desense, you will also support broader RF coexistence efforts by contributing to system-level interference analysis, radio scheduling strategies, and multi-radio integration. You will collaborate closely with antenna, RF front-end, electrical, embedded software, systems, mechanical, flight test, manufacturing, reliability, certification, and cloud engineering teams to ensure Zipline's wireless systems perform reliably under real-world operating conditions.What You'll DoOwn RF desense architecture, analysis, mitigation, validation, and production support across Zipline aircraft, docks, droids, Zipping Points, and future autonomous logistics platforms.Develop receiver desense budgets and performance requirements for next-generation wireless platforms.Identify and mitigate receiver sensitivity degradation caused by onboard transmitters, switching power supplies, processors, high-speed digital interfaces, displays, motors, power electronics, and other electronic subsystems.Analyze conducted and radiated interference mechanisms including broadband noise coupling, harmonics, spurious emissions, blocking, intermodulation, passive intermodulation, and electromagnetic compatibility.Characterize RF coupling paths through PCBs, cables, antennas, enclosures, mechanical structures, power systems, and wiring harnesses.Develop practical mitigation strategies including shielding, filtering, grounding, PCB layout optimization, clock management, power supply noise reduction, frequency planning, and antenna isolation improvements.Define RF design guidelines that minimize desense risks early in product development.Define Zipline's end-to-end electromagnetic shielding architecture spanning RF ICs, front-end modules, PCB assemblies, connectors, cable harnesses, LRUs, subsystem enclosures, and complete products.Develop shielding strategies that minimize self-generated and externally coupled RF interference while balancing size, weight, thermal performance, manufacturability, serviceability, reliability, and cost.Specify shielding requirements for RF circuits, mixed-signal electronics, switching power supplies, processors, high-speed digital interfaces, motors, and power electronics to prevent receiver degradation.Design connector and cable interconnect shielding architectures including shield termination, grounding topology, common-mode current control, cable routing, connector selection, and bonding methods to minimize conducted and radiated emissions.Develop subsystem-level shielding strategies defining enclosure construction, gasket selection, aperture control, seam treatment, venting approaches, conductive coatings, and grounding interfaces to achieve predictable electromagnetic isolation.Lead product-level shielding architecture to ensure emissions from all subsystems remain below receiver susceptibility thresholds while supporting simultaneous operation of multiple transmitters and sensitive receivers.Develop shielding methodologies that enable reliable integration of LTE, 5G, GNSS, Wi-Fi, Bluetooth, ADS-B, UAT, ISM radios, telemetry, command-and-control, V2V communications, and future wireless technologies operating concurrently.Drive shielding design decisions through simulation, laboratory characterization, near-field scanning, EMI/EMC testing, environmental testing, flight testing, and structured root-cause analysis.Establish shielding design standards, verification methodologies, acceptance criteria, production inspection processes, and long-term design guidelines across Zipline's hardware platforms.Partner with mechanical engineering to design lightweight, manufacturable shielding solutions that maintain performance over the full environmental and operational life of the product.Define shielding strategies that protect high-precision GNSS receivers from onboard interference sources, enabling robust positioning performance under simultaneous multi-radio operation and dynamic flight conditions.Perform RF system analysis including receiver sensitivity, cascaded noise figure, blocking performance, dynamic range, interference budgeting, and system margin analysis.Collaborate closely with RF front-end and antenna engineers to optimize signal chains, antenna placement, installed performance, and isolation.Support PCB layout reviews, grounding strategies, shielding implementation, stack-up definition, and design-for-manufacturing activities.Develop laboratory validation methods using spectrum analyzers, vector network analyzers, vector signal analyzers, signal generators, near-field probes, OTA chambers, EMI receivers, and conducted RF measurements.Plan and execute RF desense characterization, conducted and over-the-air testing, environmental qualification, production verification, and flight testing.Investigate RF performance issues using laboratory measurements, simulation, production data, and structured root-cause analysis.Support RF coexistence activities including multi-radio interference analysis, wireless integration, radio scheduling strategies, and system-level performance optimization.Support regulatory and carrier certification activities including FCC, CE, ISED, PTCRB, GCF, carrier acceptance, aviation certifications, and international wireless and EMC certifications.Work closely with suppliers and manufacturing partners to establish RF acceptance criteria, production test methods, calibration procedures, shielding validation processes, and quality controls.Mentor engineers and help establish RF desense methodologies, shielding architectures, debugging processes, validation standards, and long-term RF performance roadmaps.What You'll BringBachelor's degree in Electrical Engineering or a related technical field.Typically 7 or more years of professional experience developing RF hardware or wireless communication systems for production products.Strong understanding of RF receiver architecture, cascaded receiver performance, sensitivity, noise figure, blocking, dynamic range, selectivity, and receiver optimization.Demonstrated experience investigating and resolving RF desense issues within complex wireless systems.Demonstrated experience developing shielding architectures from RF circuit level through complete products, including PCB shielding, connector shielding, cable shielding, enclosure design, subsystem isolation, LRU-level shielding, and product-level electromagnetic containment.Strong understanding of electromagnetic coupling mechanisms including conducted emissions, radiated emissions, harmonics, intermodulation, passive intermodulation, broadband digital noise, common-mode currents, grounding topology, shielding effectiveness, enclosure resonance, and practical mitigation techniques . click apply for full job details
08/05/2026
Full time
Job Description Job Description: About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.About You and The Role Zipline is seeking a Senior RF Desense Engineer to lead the architecture, analysis, mitigation, validation, and long-term improvement of RF desense performance across our autonomous aircraft and ground infrastructure. You will own receiver desense engineering from early system architecture through hardware integration, validation, manufacturing, certification, and field deployment. You will work across wireless platforms supporting 4G LTE, 5G NR, GNSS, Wi-Fi, ADS-B, UAT, Bluetooth, ISM radios, emerging Vehicle-to-Vehicle (V2V) communications, and future air-to-ground communication systems, ensuring receivers maintain robust performance despite increasingly dense RF and electronic environments. This role also owns the end-to-end electromagnetic shielding architecture across Zipline's wireless platforms. You will define shielding strategies spanning RF integrated circuits, front-end modules, connectors, cable harnesses, line-replaceable units (LRUs), subsystem enclosures, and complete products to control both internally generated and externally coupled interference. Working closely with electrical, mechanical, antenna, manufacturing, reliability, and systems teams, you will develop scalable shielding solutions that enable simultaneous operation of multiple high-power transmitters and high-sensitivity receivers-including precision GNSS systems-while meeting aggressive performance, reliability, manufacturability, weight, cost, and product lifetime requirements. While the primary focus of this role is receiver desense, you will also support broader RF coexistence efforts by contributing to system-level interference analysis, radio scheduling strategies, and multi-radio integration. You will collaborate closely with antenna, RF front-end, electrical, embedded software, systems, mechanical, flight test, manufacturing, reliability, certification, and cloud engineering teams to ensure Zipline's wireless systems perform reliably under real-world operating conditions.What You'll DoOwn RF desense architecture, analysis, mitigation, validation, and production support across Zipline aircraft, docks, droids, Zipping Points, and future autonomous logistics platforms.Develop receiver desense budgets and performance requirements for next-generation wireless platforms.Identify and mitigate receiver sensitivity degradation caused by onboard transmitters, switching power supplies, processors, high-speed digital interfaces, displays, motors, power electronics, and other electronic subsystems.Analyze conducted and radiated interference mechanisms including broadband noise coupling, harmonics, spurious emissions, blocking, intermodulation, passive intermodulation, and electromagnetic compatibility.Characterize RF coupling paths through PCBs, cables, antennas, enclosures, mechanical structures, power systems, and wiring harnesses.Develop practical mitigation strategies including shielding, filtering, grounding, PCB layout optimization, clock management, power supply noise reduction, frequency planning, and antenna isolation improvements.Define RF design guidelines that minimize desense risks early in product development.Define Zipline's end-to-end electromagnetic shielding architecture spanning RF ICs, front-end modules, PCB assemblies, connectors, cable harnesses, LRUs, subsystem enclosures, and complete products.Develop shielding strategies that minimize self-generated and externally coupled RF interference while balancing size, weight, thermal performance, manufacturability, serviceability, reliability, and cost.Specify shielding requirements for RF circuits, mixed-signal electronics, switching power supplies, processors, high-speed digital interfaces, motors, and power electronics to prevent receiver degradation.Design connector and cable interconnect shielding architectures including shield termination, grounding topology, common-mode current control, cable routing, connector selection, and bonding methods to minimize conducted and radiated emissions.Develop subsystem-level shielding strategies defining enclosure construction, gasket selection, aperture control, seam treatment, venting approaches, conductive coatings, and grounding interfaces to achieve predictable electromagnetic isolation.Lead product-level shielding architecture to ensure emissions from all subsystems remain below receiver susceptibility thresholds while supporting simultaneous operation of multiple transmitters and sensitive receivers.Develop shielding methodologies that enable reliable integration of LTE, 5G, GNSS, Wi-Fi, Bluetooth, ADS-B, UAT, ISM radios, telemetry, command-and-control, V2V communications, and future wireless technologies operating concurrently.Drive shielding design decisions through simulation, laboratory characterization, near-field scanning, EMI/EMC testing, environmental testing, flight testing, and structured root-cause analysis.Establish shielding design standards, verification methodologies, acceptance criteria, production inspection processes, and long-term design guidelines across Zipline's hardware platforms.Partner with mechanical engineering to design lightweight, manufacturable shielding solutions that maintain performance over the full environmental and operational life of the product.Define shielding strategies that protect high-precision GNSS receivers from onboard interference sources, enabling robust positioning performance under simultaneous multi-radio operation and dynamic flight conditions.Perform RF system analysis including receiver sensitivity, cascaded noise figure, blocking performance, dynamic range, interference budgeting, and system margin analysis.Collaborate closely with RF front-end and antenna engineers to optimize signal chains, antenna placement, installed performance, and isolation.Support PCB layout reviews, grounding strategies, shielding implementation, stack-up definition, and design-for-manufacturing activities.Develop laboratory validation methods using spectrum analyzers, vector network analyzers, vector signal analyzers, signal generators, near-field probes, OTA chambers, EMI receivers, and conducted RF measurements.Plan and execute RF desense characterization, conducted and over-the-air testing, environmental qualification, production verification, and flight testing.Investigate RF performance issues using laboratory measurements, simulation, production data, and structured root-cause analysis.Support RF coexistence activities including multi-radio interference analysis, wireless integration, radio scheduling strategies, and system-level performance optimization.Support regulatory and carrier certification activities including FCC, CE, ISED, PTCRB, GCF, carrier acceptance, aviation certifications, and international wireless and EMC certifications.Work closely with suppliers and manufacturing partners to establish RF acceptance criteria, production test methods, calibration procedures, shielding validation processes, and quality controls.Mentor engineers and help establish RF desense methodologies, shielding architectures, debugging processes, validation standards, and long-term RF performance roadmaps.What You'll BringBachelor's degree in Electrical Engineering or a related technical field.Typically 7 or more years of professional experience developing RF hardware or wireless communication systems for production products.Strong understanding of RF receiver architecture, cascaded receiver performance, sensitivity, noise figure, blocking, dynamic range, selectivity, and receiver optimization.Demonstrated experience investigating and resolving RF desense issues within complex wireless systems.Demonstrated experience developing shielding architectures from RF circuit level through complete products, including PCB shielding, connector shielding, cable shielding, enclosure design, subsystem isolation, LRU-level shielding, and product-level electromagnetic containment.Strong understanding of electromagnetic coupling mechanisms including conducted emissions, radiated emissions, harmonics, intermodulation, passive intermodulation, broadband digital noise, common-mode currents, grounding topology, shielding effectiveness, enclosure resonance, and practical mitigation techniques . click apply for full job details
Machine Learning Engineer
Orchard Robotics San Francisco, California
Job Description Job Description Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America's food supply by building the AI farmer that automates our nation's farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by building AI-powered camera systems that collect the most valuable data for farmers, telling them everything about what is growing on their millions of trees, vines, and plants, across thousands of acres of farmland. Our state-of-the-art AI analyzes every one of the billions of fruit across a farm. We provide accurate yield estimates, fruit counts, size projections, disease detection, inventories, bloom maps, and more! All this data lives in our cloud platform, FruitScope OS, that we've developed from the ground up to enable farmers to manage their crop with precision. Today, our technology is trusted by some of the largest farms in the nation. We are growing fast, and have the industry-leading product. Farmers use our software every day to make critical decisions and run more efficient, profitable operations. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: Full-time, in-person role at our San Francisco or Seattle office. As an early engineer, you'll receive generous equity compensation Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium We move fast, and sometimes this means staying late or working weekends Our team is close-knit & highly driven, you'll work directly with our CEO and entire team We're deeply motivated by the impact we're making - every line of code written or new system built means less food that goes to waste, and more people who are fed. What you'll do: Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. Develop and deploy infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: 2+ years of real-world, industry experience building production-grade data pipelines and ML infrastructure. Proficiency in Python and experience with ML frameworks (e.g., PyTorch). Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB). Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes). Experience working with massive amounts of real-world training data. Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. Ability to work independently, learn quickly, and operate in a dynamic environment Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $135K - $210K
08/05/2026
Full time
Job Description Job Description Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America's food supply by building the AI farmer that automates our nation's farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by building AI-powered camera systems that collect the most valuable data for farmers, telling them everything about what is growing on their millions of trees, vines, and plants, across thousands of acres of farmland. Our state-of-the-art AI analyzes every one of the billions of fruit across a farm. We provide accurate yield estimates, fruit counts, size projections, disease detection, inventories, bloom maps, and more! All this data lives in our cloud platform, FruitScope OS, that we've developed from the ground up to enable farmers to manage their crop with precision. Today, our technology is trusted by some of the largest farms in the nation. We are growing fast, and have the industry-leading product. Farmers use our software every day to make critical decisions and run more efficient, profitable operations. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: Full-time, in-person role at our San Francisco or Seattle office. As an early engineer, you'll receive generous equity compensation Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium We move fast, and sometimes this means staying late or working weekends Our team is close-knit & highly driven, you'll work directly with our CEO and entire team We're deeply motivated by the impact we're making - every line of code written or new system built means less food that goes to waste, and more people who are fed. What you'll do: Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. Develop and deploy infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: 2+ years of real-world, industry experience building production-grade data pipelines and ML infrastructure. Proficiency in Python and experience with ML frameworks (e.g., PyTorch). Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB). Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes). Experience working with massive amounts of real-world training data. Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. Ability to work independently, learn quickly, and operate in a dynamic environment Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $135K - $210K
Senior ML Infra Engineer
Maxinsights Corporation Alviso, California
Job Description Job Description We are looking for a senior ML infrastructure engineer to build and evolve the systems that support model training, deployment, and production usage. This role sits at the intersection of software engineering, infrastructure, ML workflows, and developer experience. The work focuses on production-quality ML systems: reliability, scalability, observability, and usability for the team. You will work on training infrastructure, deployment workflows, model serving, platform tooling, automation, and production reliability. Training deployment is a core focus, and experience with inference deployment is a strong plus. We care about engineering judgment, technical depth, communication, and the ability to turn messy ML workflows into stable platform capabilities. What You Will Own Design, build, and evolve infrastructure for ML training workflows, training deployment, experiment execution, and production handoff. Build and maintain deployment paths for models, jobs, services, and supporting infrastructure across development and production environments. Improve reliability, scalability, observability, and developer experience for ML workflows and platform tools. Define interfaces, automation, metadata, artifacts, configuration, environment management, and lifecycle boundaries for ML systems. Collaborate with research, product, data, and engineering partners to translate incomplete ML workflow needs into maintainable systems. Support production usage by building clear operational tooling, debugging paths, and safe rollout mechanisms. What We Look For Strong software engineering and infrastructure fundamentals, with experience owning production or near-production systems. Practical experience with PyTorch and ML training workflows, including job orchestration, compute environments, artifact management, and deployment automation. Solid understanding of heterogeneous computing and high-performance computing, especially for ML training or serving workloads. Good understanding of model lifecycle concerns: data, configs, checkpoints, artifacts, reproducibility, rollout, rollback, and observability. Ability to build reliable platform abstractions without hiding the important details ML practitioners need to control. Clear technical and product sense: you can prioritize platform work that unlocks real training or deployment velocity. High standards for engineering quality, including tests, documentation, debugging tools, and maintainable system design. Tech Stack You May Work With Python PyTorch Heterogeneous computing and high-performance computing ML training pipelines, job orchestration, compute scheduling, containers, and deployment automation Model artifacts, metadata, storage, experiment tracking, and configuration systems Model serving, inference deployment, APIs, queues, and observability tools Docker, CI/CD, cloud infrastructure, GPUs, and internal platform tooling Bonus Points Experience building training deployment systems, model release workflows, or ML platform tooling for research and production teams. Experience with inference deployment, model serving, online/offline evaluation, performance tuning, or rollout safety. Experience with distributed training, GPU infrastructure, workload scheduling, artifact/version management, or reproducibility tooling. Understanding of CUDA, GPU architecture, or low-level performance optimization. Experience with open-source inference and serving frameworks such as vLLM, TensorRT, Triton, or similar systems. Experience migrating ad hoc notebooks, scripts, or manual ML processes into reliable platform workflows. This Role May Not Be a Fit If You mainly want to train models personally and do not enjoy building infrastructure for others to use. You are comfortable with manual ML workflows and do not care about reproducibility, deployment, or operational quality. You prefer narrow implementation tasks and do not want to reason about system boundaries, platform UX, or long-term maintenance. You over-abstract ML workflows without understanding where researchers and engineers need control and visibility. Why This Role Matters ML teams move faster when training, deployment, and production usage are supported by reliable infrastructure instead of scattered scripts and manual processes. This role will directly shape how models move from experimentation to production, how safely they are deployed, and how efficiently the team can iterate. For the right person, it is a high-ownership platform role with deep impact on both engineering quality and ML velocity. What We Would Like to See When You Apply ML infrastructure, training platforms, deployment systems, or model serving systems you have owned. Examples of how you improved training reliability, deployment velocity, reproducibility, observability, or operational safety. Cases where you turned messy ML workflows into maintainable tools, services, or platform abstractions. Examples that show your technical judgment, communication, and ability to work across research and engineering needs.
08/05/2026
Full time
Job Description Job Description We are looking for a senior ML infrastructure engineer to build and evolve the systems that support model training, deployment, and production usage. This role sits at the intersection of software engineering, infrastructure, ML workflows, and developer experience. The work focuses on production-quality ML systems: reliability, scalability, observability, and usability for the team. You will work on training infrastructure, deployment workflows, model serving, platform tooling, automation, and production reliability. Training deployment is a core focus, and experience with inference deployment is a strong plus. We care about engineering judgment, technical depth, communication, and the ability to turn messy ML workflows into stable platform capabilities. What You Will Own Design, build, and evolve infrastructure for ML training workflows, training deployment, experiment execution, and production handoff. Build and maintain deployment paths for models, jobs, services, and supporting infrastructure across development and production environments. Improve reliability, scalability, observability, and developer experience for ML workflows and platform tools. Define interfaces, automation, metadata, artifacts, configuration, environment management, and lifecycle boundaries for ML systems. Collaborate with research, product, data, and engineering partners to translate incomplete ML workflow needs into maintainable systems. Support production usage by building clear operational tooling, debugging paths, and safe rollout mechanisms. What We Look For Strong software engineering and infrastructure fundamentals, with experience owning production or near-production systems. Practical experience with PyTorch and ML training workflows, including job orchestration, compute environments, artifact management, and deployment automation. Solid understanding of heterogeneous computing and high-performance computing, especially for ML training or serving workloads. Good understanding of model lifecycle concerns: data, configs, checkpoints, artifacts, reproducibility, rollout, rollback, and observability. Ability to build reliable platform abstractions without hiding the important details ML practitioners need to control. Clear technical and product sense: you can prioritize platform work that unlocks real training or deployment velocity. High standards for engineering quality, including tests, documentation, debugging tools, and maintainable system design. Tech Stack You May Work With Python PyTorch Heterogeneous computing and high-performance computing ML training pipelines, job orchestration, compute scheduling, containers, and deployment automation Model artifacts, metadata, storage, experiment tracking, and configuration systems Model serving, inference deployment, APIs, queues, and observability tools Docker, CI/CD, cloud infrastructure, GPUs, and internal platform tooling Bonus Points Experience building training deployment systems, model release workflows, or ML platform tooling for research and production teams. Experience with inference deployment, model serving, online/offline evaluation, performance tuning, or rollout safety. Experience with distributed training, GPU infrastructure, workload scheduling, artifact/version management, or reproducibility tooling. Understanding of CUDA, GPU architecture, or low-level performance optimization. Experience with open-source inference and serving frameworks such as vLLM, TensorRT, Triton, or similar systems. Experience migrating ad hoc notebooks, scripts, or manual ML processes into reliable platform workflows. This Role May Not Be a Fit If You mainly want to train models personally and do not enjoy building infrastructure for others to use. You are comfortable with manual ML workflows and do not care about reproducibility, deployment, or operational quality. You prefer narrow implementation tasks and do not want to reason about system boundaries, platform UX, or long-term maintenance. You over-abstract ML workflows without understanding where researchers and engineers need control and visibility. Why This Role Matters ML teams move faster when training, deployment, and production usage are supported by reliable infrastructure instead of scattered scripts and manual processes. This role will directly shape how models move from experimentation to production, how safely they are deployed, and how efficiently the team can iterate. For the right person, it is a high-ownership platform role with deep impact on both engineering quality and ML velocity. What We Would Like to See When You Apply ML infrastructure, training platforms, deployment systems, or model serving systems you have owned. Examples of how you improved training reliability, deployment velocity, reproducibility, observability, or operational safety. Cases where you turned messy ML workflows into maintainable tools, services, or platform abstractions. Examples that show your technical judgment, communication, and ability to work across research and engineering needs.
DevOps Engineer : Pulumi & AWS ECS
Eitacies Inc Santa Clara, California
Job Description Job Description DevOps Engineer : Pulumi & AWS ECS Onsite, SF Bay Area Requirement: We are looking for a DevOps Engineer with strong hands-on experience in Pulumi and AWS ECS to support infrastructure provisioning and operational environments. This is an onsite role in the SF Bay Area . Skills: Pulumi + AWS ECS (REQUIRED) AWS (EC2 required) Infrastructure Provisioning & Environment Buildout Infrastructure Monitoring & Maintenance Kubernetes, Ansible, API Automation, Git Python, Agile methodology, Unix Shell Scripting Nice to Have AWS IAM, GitHub, GoLang, Microservices exposure, Puppet Responsibilities Provision and manage cloud infrastructure using Pulumi Deploy and manage services on AWS ECS Maintain and monitor infrastructure environments Automate APIs and operational workflows Support CI/CD and DevOps automation processes Collaborate within Agile teams
08/05/2026
Full time
Job Description Job Description DevOps Engineer : Pulumi & AWS ECS Onsite, SF Bay Area Requirement: We are looking for a DevOps Engineer with strong hands-on experience in Pulumi and AWS ECS to support infrastructure provisioning and operational environments. This is an onsite role in the SF Bay Area . Skills: Pulumi + AWS ECS (REQUIRED) AWS (EC2 required) Infrastructure Provisioning & Environment Buildout Infrastructure Monitoring & Maintenance Kubernetes, Ansible, API Automation, Git Python, Agile methodology, Unix Shell Scripting Nice to Have AWS IAM, GitHub, GoLang, Microservices exposure, Puppet Responsibilities Provision and manage cloud infrastructure using Pulumi Deploy and manage services on AWS ECS Maintain and monitor infrastructure environments Automate APIs and operational workflows Support CI/CD and DevOps automation processes Collaborate within Agile teams
Senior Cloud Engineer
Gridware San Francisco, California
Job Description Job Description About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role Description We're scaling the deployment of critical infrastructure monitoring devices to detect real-world fault events that lead to wildfires. The platform you'll build and operate ingests millions of events per day from devices in the field, powers customer-facing dashboards and alerting, and supports the data science work that turns raw signals into grid intelligence. You will own AWS infrastructure, Kubernetes (EKS), CI/CD, and observability end-to-end, partnering with our Cloud Security team to keep the platform safe and compliant, and with backend, firmware, and data teams to keep them shipping fast. As an early member of the DevOps team, you'll have a direct hand in shaping how Gridware builds, deploys, and runs production systems for years to come. Responsibilities Design, build, and operate scalable, secure, and highly available cloud infrastructure across AWS. Own and evolve our Kubernetes platform, enabling reliable application deployment and operations through GitOps best practices. Build and maintain CI/CD systems that improve developer velocity, release quality, and operational reliability. Manage and optimize event-driven infrastructure powering high-volume telemetry and device data pipelines. Define and maintain Infrastructure as Code standards, ensuring consistency, repeatability, and scalability across environments. Develop and enhance observability, monitoring, and incident response capabilities to support reliable production operations. Partner closely with Security and Engineering teams to strengthen platform security, access management, and operational resilience. Troubleshoot complex production issues, drive root cause analysis, and turn lessons learned into automation, tooling, and operational improvements. Required Skills 5+ years of experience in DevOps, SRE, or Platform Engineering operating production AWS environments Deep expertise with Kubernetes (EKS preferred), GitOps workflows (Argo CD/Flux), and Infrastructure as Code (Terraform) Strong experience building and maintaining CI/CD pipelines, ideally with GitHub Actions Hands-on experience operating distributed systems and cloud-native platforms (e.g., Kafka/MSK) Solid understanding of networking, DNS, TLS, identity/access management, and cloud security best practices Experience with observability, monitoring, and logging tools such as Grafana, Prometheus, Loki, or similar Strong Linux, scripting, and troubleshooting skills with the ability to debug complex production issues end-to-end Bonus Skills Experience operating Apollo Router / GraphQL federation gateways in production. Experience operating Argo Workflows or similar Kubernetes-native job / pipeline runners in production. Familiarity with Databricks or ML Ops pipelines for data and model deployment. Experience designing, operating, and exercising Disaster Recovery (DR) environments, including cross-region replication, backups, and tested failover runbooks. Experience with Tailscale or other zero-trust networking tools. Experience supporting IoT / embedded fleets at scale, including secure device-to-cloud connectivity. Experience in high-growth startup environments where you must wear many hats. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees. Commuter allowance Company-paid training
08/05/2026
Full time
Job Description Job Description About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role Description We're scaling the deployment of critical infrastructure monitoring devices to detect real-world fault events that lead to wildfires. The platform you'll build and operate ingests millions of events per day from devices in the field, powers customer-facing dashboards and alerting, and supports the data science work that turns raw signals into grid intelligence. You will own AWS infrastructure, Kubernetes (EKS), CI/CD, and observability end-to-end, partnering with our Cloud Security team to keep the platform safe and compliant, and with backend, firmware, and data teams to keep them shipping fast. As an early member of the DevOps team, you'll have a direct hand in shaping how Gridware builds, deploys, and runs production systems for years to come. Responsibilities Design, build, and operate scalable, secure, and highly available cloud infrastructure across AWS. Own and evolve our Kubernetes platform, enabling reliable application deployment and operations through GitOps best practices. Build and maintain CI/CD systems that improve developer velocity, release quality, and operational reliability. Manage and optimize event-driven infrastructure powering high-volume telemetry and device data pipelines. Define and maintain Infrastructure as Code standards, ensuring consistency, repeatability, and scalability across environments. Develop and enhance observability, monitoring, and incident response capabilities to support reliable production operations. Partner closely with Security and Engineering teams to strengthen platform security, access management, and operational resilience. Troubleshoot complex production issues, drive root cause analysis, and turn lessons learned into automation, tooling, and operational improvements. Required Skills 5+ years of experience in DevOps, SRE, or Platform Engineering operating production AWS environments Deep expertise with Kubernetes (EKS preferred), GitOps workflows (Argo CD/Flux), and Infrastructure as Code (Terraform) Strong experience building and maintaining CI/CD pipelines, ideally with GitHub Actions Hands-on experience operating distributed systems and cloud-native platforms (e.g., Kafka/MSK) Solid understanding of networking, DNS, TLS, identity/access management, and cloud security best practices Experience with observability, monitoring, and logging tools such as Grafana, Prometheus, Loki, or similar Strong Linux, scripting, and troubleshooting skills with the ability to debug complex production issues end-to-end Bonus Skills Experience operating Apollo Router / GraphQL federation gateways in production. Experience operating Argo Workflows or similar Kubernetes-native job / pipeline runners in production. Familiarity with Databricks or ML Ops pipelines for data and model deployment. Experience designing, operating, and exercising Disaster Recovery (DR) environments, including cross-region replication, backups, and tested failover runbooks. Experience with Tailscale or other zero-trust networking tools. Experience supporting IoT / embedded fleets at scale, including secure device-to-cloud connectivity. Experience in high-growth startup environments where you must wear many hats. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees. Commuter allowance Company-paid training
AI Engineer
Teserac, Inc. Sunnyvale, California
Job Description Job Description About the Role Teserac is building neuron , a unified AI-native platform for data center observability, intelligence, and workflow automation. neuron processes real-time telemetry from thousands of sensors, meters, and control systems across heterogeneous environments - giving infrastructure owners the visibility to monitor, analyze, automate, and proactively manage power operations with full situational awareness. An embedded AI teammate serves as every operator's always-on co-pilot: detecting anomalies, correlating events, and surfacing recommendations 24/7. We are seeking an AI/ML Engineer who is excited to build intelligent systems at the intersection of applied AI and critical infrastructure. You will work across the full AI development lifecycle - from data pipelines and model integration to agentic orchestration, evaluation, and production support - collaborating closely with a small, fast-moving engineering team. This is not a research-only role, but research thinking matters here. You will be expected to read papers, stay ahead of the field, and bring ideas to the table - then build them into production systems. Who We Are Looking For We care more about how you think than how many years are on your resume. This role is open to both junior and senior candidates. What matters is: You are genuinely excited about AI and infrastructure - not just one of them You learn fast, go deep, and can hold your own in a technical debate You have the engineering fundamentals to ship reliable systems You are proactive, curious, and comfortable with a steep learning curve You want to work on something technically hard that actually matters in the physical world If you are early in your career but have strong fundamentals, a track record of self-directed learning, and a portfolio that shows you build things - we want to hear from you. What You Will Work On Multi-agent orchestration and LLM-driven triage workflows Time-series modeling for anomaly detection, failure prediction, and health forecasting on multivariate telemetry Retrieval-augmented knowledge systems for operations teams Data and ML pipelines - ingestion, ETL, and dataset construction Fine-tuning and post-training of language models for operational use cases AI observability, evaluation frameworks, and production performance benchmarking Responsibilities Design, develop, and maintain AI-powered applications and automation workflows Integrate and optimize LLM APIs for production use cases Build and refine retrieval and knowledge-augmentation pipelines Develop evaluation frameworks to benchmark AI system performance Implement monitoring, tracing, and debugging capabilities for AI systems Read and synthesize relevant research; bring ideas forward and debate them with the team Contribute to AI architecture decisions and production hardening Stay current with the rapidly evolving AI/ML landscape Requirements Required Degree in Computer Science, Machine Learning, Mathematics, or a related field - or equivalent demonstrated experience Strong proficiency in Python Solid software engineering fundamentals: testing, version control, CI/CD Experience working with LLM APIs in applied contexts Familiarity with agentic system concepts - tool/function-calling, agent frameworks Daily use of AI-assisted coding tools (Cursor, Copilot, Claude Code, etc.) Ability to read ML research papers and translate ideas into practical experiments Strong analytical thinking and clear communication - you can argue a position and update it when wrong Preferred Professional AI/ML engineering experience (any level) Experience building agentic systems using frameworks such as LangGraph or LangChain; MCP a plus Time-series modeling - forecasting and anomaly/failure prediction on multivariate data Experience fine-tuning or post-training language models PyTorch and/or model serving frameworks (e.g., vLLM) Experience building data and ML pipelines - ingestion, ETL, dataset construction Familiarity with cloud ML platforms, particularly GCP (Vertex AI) LLM evaluation and benchmarking: harness design and eval loop development Domain experience with data center or industrial telemetry, BMS/OT protocols (Niagara, BACnet/Modbus) Background in DevOps, distributed systems, or observability tooling Benefits Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick & Public Holidays) Free Food & Snacks Stock Option Plan 401(k)
08/05/2026
Full time
Job Description Job Description About the Role Teserac is building neuron , a unified AI-native platform for data center observability, intelligence, and workflow automation. neuron processes real-time telemetry from thousands of sensors, meters, and control systems across heterogeneous environments - giving infrastructure owners the visibility to monitor, analyze, automate, and proactively manage power operations with full situational awareness. An embedded AI teammate serves as every operator's always-on co-pilot: detecting anomalies, correlating events, and surfacing recommendations 24/7. We are seeking an AI/ML Engineer who is excited to build intelligent systems at the intersection of applied AI and critical infrastructure. You will work across the full AI development lifecycle - from data pipelines and model integration to agentic orchestration, evaluation, and production support - collaborating closely with a small, fast-moving engineering team. This is not a research-only role, but research thinking matters here. You will be expected to read papers, stay ahead of the field, and bring ideas to the table - then build them into production systems. Who We Are Looking For We care more about how you think than how many years are on your resume. This role is open to both junior and senior candidates. What matters is: You are genuinely excited about AI and infrastructure - not just one of them You learn fast, go deep, and can hold your own in a technical debate You have the engineering fundamentals to ship reliable systems You are proactive, curious, and comfortable with a steep learning curve You want to work on something technically hard that actually matters in the physical world If you are early in your career but have strong fundamentals, a track record of self-directed learning, and a portfolio that shows you build things - we want to hear from you. What You Will Work On Multi-agent orchestration and LLM-driven triage workflows Time-series modeling for anomaly detection, failure prediction, and health forecasting on multivariate telemetry Retrieval-augmented knowledge systems for operations teams Data and ML pipelines - ingestion, ETL, and dataset construction Fine-tuning and post-training of language models for operational use cases AI observability, evaluation frameworks, and production performance benchmarking Responsibilities Design, develop, and maintain AI-powered applications and automation workflows Integrate and optimize LLM APIs for production use cases Build and refine retrieval and knowledge-augmentation pipelines Develop evaluation frameworks to benchmark AI system performance Implement monitoring, tracing, and debugging capabilities for AI systems Read and synthesize relevant research; bring ideas forward and debate them with the team Contribute to AI architecture decisions and production hardening Stay current with the rapidly evolving AI/ML landscape Requirements Required Degree in Computer Science, Machine Learning, Mathematics, or a related field - or equivalent demonstrated experience Strong proficiency in Python Solid software engineering fundamentals: testing, version control, CI/CD Experience working with LLM APIs in applied contexts Familiarity with agentic system concepts - tool/function-calling, agent frameworks Daily use of AI-assisted coding tools (Cursor, Copilot, Claude Code, etc.) Ability to read ML research papers and translate ideas into practical experiments Strong analytical thinking and clear communication - you can argue a position and update it when wrong Preferred Professional AI/ML engineering experience (any level) Experience building agentic systems using frameworks such as LangGraph or LangChain; MCP a plus Time-series modeling - forecasting and anomaly/failure prediction on multivariate data Experience fine-tuning or post-training language models PyTorch and/or model serving frameworks (e.g., vLLM) Experience building data and ML pipelines - ingestion, ETL, dataset construction Familiarity with cloud ML platforms, particularly GCP (Vertex AI) LLM evaluation and benchmarking: harness design and eval loop development Domain experience with data center or industrial telemetry, BMS/OT protocols (Niagara, BACnet/Modbus) Background in DevOps, distributed systems, or observability tooling Benefits Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick & Public Holidays) Free Food & Snacks Stock Option Plan 401(k)
Sr. Finance Reporting Engineer
Align Technology San Jose, California
Job Description Job Description Description This position is ideal for senior-level professionals to join the Finance Systems & Reporting team as a Sr. Finance Reporting Engineer. The Finance Engineer will be reporting to the Director, Global Finance Systems & Reporting based in San Jose, California (US) and would strategically engage with key members of finance function defining and delivering on the enterprise roadmap projects as well as own and help resolve day to day tactical problems and challenges. The Sr. Finance Reporting Engineer will be responsible for designing, developing, and maintaining enterprise financial reporting and analytics solutions. This role focuses on delivering accurate, scalable, and automated reporting capabilities by leveraging SAP technologies, cloud-based data platforms, and business intelligence tools to support strategic decision-making across the organization. Role expectations Lead the financial reporting life cycle end-to-end that includes conducting requirement gathering sessions with business, design the reporting solution, development, deployment, maintenance and training of the reporting solution to broader regional audience. Oversee the design and development for the planning system, OneStream, and be prepared to use other planning and reporting tools used at Align, including ERP, Consolidation Planning, and Business Intelligence software packages. Support financial close activities through data reconciliation, validation, and coordination of data loads for month-end, quarter-end, and year-end reporting. Responsible for designing, developing, and maintaining scalable data pipelines and integration workflows to ensure accurate and efficient data processing across systems. Monitor data flows, task chains, and job performance; implementing data quality controls and validation processes; troubleshooting and resolving data load issues; and optimizing data transformation and loading performance. Develop and troubleshoot a variety of Onestream components that include transformation rules, security models, custom dashboards, reports, business rules, and member formulas, with a focus on enhancing system functionality and efficiency. Lead the collaboration and development efforts for various financial Power BI dashboards required for finance, that will make analytics easier and reporting simplified for business at the same time maintaining data accuracy standards as required for financial reporting. Acting as a liaison between business and IT groups. Work with IT to help them understand business requirements and translate it in technical terminologies for them. Help business understand the technical solutions deployed and train them on how they can effectively use it for their needs. Identifying the gaps with existing solutions in place, finding out solutions to resolve them and work with IT/business to get them implemented. Lead the integration testing and user acceptance testing with business and IT collaboratively. Key Personnel responsible for financial close reporting of critical reports Key person responsible for ensuring financial data integrity and completeness for all finance data that will be needed for financial close reporting. Comply with data security and access control standards, maintains thorough process documentation, and provides production support, including participation in on-call rotations with the offshore team when required. Assist with special projects and ad-hoc requests, as necessary. What we're looking for Requires Bachelor's degree in CS, Information Technology, or a related field 12+ years of experience in Data loading and Monitoring systems to support the Finance organization. Strong understanding of financial reporting, FP&A, close processes, and management reporting. Hands-on experience with SAP Datasphere for data modeling, data warehousing, integration, and governance across SAP and non-SAP landscapes. Strong understanding of SAP RTR business processes, hands on experience working with FI-GL, COPA, AR/AP, Should be a self-starter who is able to work with minimal direction and exercises considerable latitude in determining objectives and approaches to assignments. Hands-on experience working with Onestream planning system or similar planning platforms such as Anaplan, Planful. Hands-on experience with SQL and object-oriented (VB.Net, C#) coding experience is preferred. The candidate will serve as a liaison between the finance user group, corporate report development team, and IT. Should be a team player and possess good interpersonal and communication skills, reflecting an ability to be patient and outgoing with people. Should be highly motivated, result focused, and act with a high sense of urgency. Should possess excellent planning and prioritization skills with the ability to multitask and maintain by adapting to change. Complementary skills Advanced Microsoft Outlook, Word, Excel and PowerPoint skills. Must have the ability to independently create spreadsheets and perform quantitative analysis. Prior experience working with Azure Datalake, S/4 HANA, SAP-ECC or SAP BW is a plus. Pay Transparency If provided, base salary or wage rate ranges are the range in which Align reasonably expects to set a candidate's pay for the posted position. Actual placement depends on the individual skills and experience level of a candidate plus the total compensation and equity across team members. For other locations outside of the primary location, the base salary range will be adjusted geographically. For Field Sales roles, the salary listed is the base pay only and does not include the applicable incentive compensation plan. A cost of living adjustment may be added to base pay for higher cost areas in the U.S. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience. General Description of All Benefits We are pleased to provide a general description of the benefits Align offers to full-time employees in this position. Family Benefits. Align offers employees and their eligible dependents medical (with a Health Savings Account option for some plan offerings), dental, and vision in accordance with those plans. Align also offers to employees: Discounts on Invisalign and Vivera to employees and their eligible dependents after 90 days of employment Back-up Child/Elder Care and access to a caregiving concierge Family Forming Benefits - Available to Employees, and their spouse or domestic partner, covered under one of Align's health plans Breast Milk Delivery and Lactation Support Services Employee Assistance Program Hinge Health Virtual Physical Therapy - Available to all employees and eligible dependents (age 18+) enrolled in an Align medical Plan Employee benefits. Align offers its employees: Short-term and long-term disability insurance in accordance with those plans. Basic Life Insurance and Accidental Death and Dismemberment. Voluntary Supplemental Life Insurance for Employee, Spouse/Domestic Partner, and Child(ren) are available for purchase in accordance with those plans. Flexible Spending Accounts- Employees may be eligible to participate in a health care account (including a limited health FSA if enrolled in a HDHP), dependent care account, and a pre-tax commuter benefit plan. 401k plan (with a discretionary Company match of 50% up to 6% of eligible earnings up to a maximum match of 3%.). Employer match vests after two years - 25% year one and 100% at year two. Align offers traditional, Roth, and after-tax options. Employee Stock Purchase Program (Employees must work 20 hours or more and be employed on purchase date to be eligible). Paid vacation of up to 17 days during the first full year of employment (currently accrued at the rate of 5.24 hours each pay-period), which carries over to a maximum cap of 30 days. Annual paid vacation time accrual increases based on tenure. Both exempt and non-exempt employees who work 32 hours or more per week receive prorated vacation accrual based on their regularly scheduled work hours and tenure. Sick time is accrued throughout the year at the rate of one hour for every thirty worked. Employees can carry over unused sick leave each year, up to a maximum balance of 80 hours. 11 Company-designated paid holidays throughout the year. If employed for at least 12 consecutive months, Align will grant up to 6 weeks of paid Parental Leave. If employed for less than 12 consecutive months, Align will grant up to 4 weeks of paid Parental Leave. All parental leave must be completed within one year of the birth or placement of the child. Parental leave is in addition to any state and/or local parental leave benefits. Three days of paid bereavement leave. In some cases, due to travel the amount of paid leave may be extended to 5 paid days off. To the extent applicable state or local law offers more generous benefits, Align complies with any such law. Non-exempt employees will receive full pay for up to 10 days of jury duty. Exempt employees will receive their full salary during any week they serve and perform any work. Other insurance such as legal, critical illness, voluntary accident, long-term care, auto, home and pet insurance are available for purchase. To the extent applicable state or local law offers more generous benefits, Align complies with any such law.
08/05/2026
Full time
Job Description Job Description Description This position is ideal for senior-level professionals to join the Finance Systems & Reporting team as a Sr. Finance Reporting Engineer. The Finance Engineer will be reporting to the Director, Global Finance Systems & Reporting based in San Jose, California (US) and would strategically engage with key members of finance function defining and delivering on the enterprise roadmap projects as well as own and help resolve day to day tactical problems and challenges. The Sr. Finance Reporting Engineer will be responsible for designing, developing, and maintaining enterprise financial reporting and analytics solutions. This role focuses on delivering accurate, scalable, and automated reporting capabilities by leveraging SAP technologies, cloud-based data platforms, and business intelligence tools to support strategic decision-making across the organization. Role expectations Lead the financial reporting life cycle end-to-end that includes conducting requirement gathering sessions with business, design the reporting solution, development, deployment, maintenance and training of the reporting solution to broader regional audience. Oversee the design and development for the planning system, OneStream, and be prepared to use other planning and reporting tools used at Align, including ERP, Consolidation Planning, and Business Intelligence software packages. Support financial close activities through data reconciliation, validation, and coordination of data loads for month-end, quarter-end, and year-end reporting. Responsible for designing, developing, and maintaining scalable data pipelines and integration workflows to ensure accurate and efficient data processing across systems. Monitor data flows, task chains, and job performance; implementing data quality controls and validation processes; troubleshooting and resolving data load issues; and optimizing data transformation and loading performance. Develop and troubleshoot a variety of Onestream components that include transformation rules, security models, custom dashboards, reports, business rules, and member formulas, with a focus on enhancing system functionality and efficiency. Lead the collaboration and development efforts for various financial Power BI dashboards required for finance, that will make analytics easier and reporting simplified for business at the same time maintaining data accuracy standards as required for financial reporting. Acting as a liaison between business and IT groups. Work with IT to help them understand business requirements and translate it in technical terminologies for them. Help business understand the technical solutions deployed and train them on how they can effectively use it for their needs. Identifying the gaps with existing solutions in place, finding out solutions to resolve them and work with IT/business to get them implemented. Lead the integration testing and user acceptance testing with business and IT collaboratively. Key Personnel responsible for financial close reporting of critical reports Key person responsible for ensuring financial data integrity and completeness for all finance data that will be needed for financial close reporting. Comply with data security and access control standards, maintains thorough process documentation, and provides production support, including participation in on-call rotations with the offshore team when required. Assist with special projects and ad-hoc requests, as necessary. What we're looking for Requires Bachelor's degree in CS, Information Technology, or a related field 12+ years of experience in Data loading and Monitoring systems to support the Finance organization. Strong understanding of financial reporting, FP&A, close processes, and management reporting. Hands-on experience with SAP Datasphere for data modeling, data warehousing, integration, and governance across SAP and non-SAP landscapes. Strong understanding of SAP RTR business processes, hands on experience working with FI-GL, COPA, AR/AP, Should be a self-starter who is able to work with minimal direction and exercises considerable latitude in determining objectives and approaches to assignments. Hands-on experience working with Onestream planning system or similar planning platforms such as Anaplan, Planful. Hands-on experience with SQL and object-oriented (VB.Net, C#) coding experience is preferred. The candidate will serve as a liaison between the finance user group, corporate report development team, and IT. Should be a team player and possess good interpersonal and communication skills, reflecting an ability to be patient and outgoing with people. Should be highly motivated, result focused, and act with a high sense of urgency. Should possess excellent planning and prioritization skills with the ability to multitask and maintain by adapting to change. Complementary skills Advanced Microsoft Outlook, Word, Excel and PowerPoint skills. Must have the ability to independently create spreadsheets and perform quantitative analysis. Prior experience working with Azure Datalake, S/4 HANA, SAP-ECC or SAP BW is a plus. Pay Transparency If provided, base salary or wage rate ranges are the range in which Align reasonably expects to set a candidate's pay for the posted position. Actual placement depends on the individual skills and experience level of a candidate plus the total compensation and equity across team members. For other locations outside of the primary location, the base salary range will be adjusted geographically. For Field Sales roles, the salary listed is the base pay only and does not include the applicable incentive compensation plan. A cost of living adjustment may be added to base pay for higher cost areas in the U.S. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience. General Description of All Benefits We are pleased to provide a general description of the benefits Align offers to full-time employees in this position. Family Benefits. Align offers employees and their eligible dependents medical (with a Health Savings Account option for some plan offerings), dental, and vision in accordance with those plans. Align also offers to employees: Discounts on Invisalign and Vivera to employees and their eligible dependents after 90 days of employment Back-up Child/Elder Care and access to a caregiving concierge Family Forming Benefits - Available to Employees, and their spouse or domestic partner, covered under one of Align's health plans Breast Milk Delivery and Lactation Support Services Employee Assistance Program Hinge Health Virtual Physical Therapy - Available to all employees and eligible dependents (age 18+) enrolled in an Align medical Plan Employee benefits. Align offers its employees: Short-term and long-term disability insurance in accordance with those plans. Basic Life Insurance and Accidental Death and Dismemberment. Voluntary Supplemental Life Insurance for Employee, Spouse/Domestic Partner, and Child(ren) are available for purchase in accordance with those plans. Flexible Spending Accounts- Employees may be eligible to participate in a health care account (including a limited health FSA if enrolled in a HDHP), dependent care account, and a pre-tax commuter benefit plan. 401k plan (with a discretionary Company match of 50% up to 6% of eligible earnings up to a maximum match of 3%.). Employer match vests after two years - 25% year one and 100% at year two. Align offers traditional, Roth, and after-tax options. Employee Stock Purchase Program (Employees must work 20 hours or more and be employed on purchase date to be eligible). Paid vacation of up to 17 days during the first full year of employment (currently accrued at the rate of 5.24 hours each pay-period), which carries over to a maximum cap of 30 days. Annual paid vacation time accrual increases based on tenure. Both exempt and non-exempt employees who work 32 hours or more per week receive prorated vacation accrual based on their regularly scheduled work hours and tenure. Sick time is accrued throughout the year at the rate of one hour for every thirty worked. Employees can carry over unused sick leave each year, up to a maximum balance of 80 hours. 11 Company-designated paid holidays throughout the year. If employed for at least 12 consecutive months, Align will grant up to 6 weeks of paid Parental Leave. If employed for less than 12 consecutive months, Align will grant up to 4 weeks of paid Parental Leave. All parental leave must be completed within one year of the birth or placement of the child. Parental leave is in addition to any state and/or local parental leave benefits. Three days of paid bereavement leave. In some cases, due to travel the amount of paid leave may be extended to 5 paid days off. To the extent applicable state or local law offers more generous benefits, Align complies with any such law. Non-exempt employees will receive full pay for up to 10 days of jury duty. Exempt employees will receive their full salary during any week they serve and perform any work. Other insurance such as legal, critical illness, voluntary accident, long-term care, auto, home and pet insurance are available for purchase. To the extent applicable state or local law offers more generous benefits, Align complies with any such law.
Senior Software Engineer, Cloud Reliability
Zilliz Redwood City, California
Job Description Job Description Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector database, the company builds next-generation database technologies to help organizations quickly create AI applications. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization. We're entering our next phase of 10x growth; more customers, larger datasets, and far higher expectations for reliability. You'll join a small, fast-moving Cloud Platform team that operates large-scale, multi-cloud, distributed database systems in production. This is a high-ownership role for engineers who want to move fast, build automation instead of toil, and take real responsibility for production stability. What you will do: Own the reliability, availability, and production stability of Zilliz Cloud as we scale through the next stage of growth Debug complex production issues across Kubernetes, cloud infrastructure, networking, storage, and distributed database systems Build automation and diagnostic tooling; log analysis, alert correlation, incident investigation, runbook automation, and remediation workflows so problems get solved once, not repeatedly Turn recurring incidents into reusable tools, automation, documentation, and product improvements Improve observability across latency, availability, throughput, and resource efficiency Partner with database and infrastructure engineers to make Zilliz Cloud more reliable, scalable, and automated What we are looking for: 3+ years building or operating production cloud systems, infrastructure platforms, database systems, or large-scale online services Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience Strong hands-on experience with Kubernetes, Docker, and at least one major cloud platform (AWS, GCP, or Azure) Solid understanding of distributed systems; availability, scalability, performance, failure recovery, and operational tradeoffs Experience with distributed databases, storage systems, search systems, or large-scale online systems is a strong plus Experience operating highly multi-tenant systems or large infrastructure fleets; thousands of nodes, clusters, tenants, or customer deployments is especially valuable Familiarity with modern cloud operations tooling such as Terraform, Helm, Argo CD, Prometheus, Grafana, and CI/CD systems Strong bias for action, and the drive to thrive in a fast-paced, rapidly scaling environment How we operate: High ownership: You own production reliability end-to-end. The whole system, not a slice of it. High autonomy, high trust, minimal process. Fast and focused: We ship often and keep a high bar. This team suits engineers who want velocity and a steep growth curve over red tape. Globally distributed: We work closely with our core engineering teams across APAC. Occasional early morning or evening syncs in exchange for an on-call setup designed around timezone coverage, not overnight pages. Zilliz is an Equal Opportunity Employer and welcomes people from all backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment regardless of race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
08/05/2026
Full time
Job Description Job Description Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector database, the company builds next-generation database technologies to help organizations quickly create AI applications. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization. We're entering our next phase of 10x growth; more customers, larger datasets, and far higher expectations for reliability. You'll join a small, fast-moving Cloud Platform team that operates large-scale, multi-cloud, distributed database systems in production. This is a high-ownership role for engineers who want to move fast, build automation instead of toil, and take real responsibility for production stability. What you will do: Own the reliability, availability, and production stability of Zilliz Cloud as we scale through the next stage of growth Debug complex production issues across Kubernetes, cloud infrastructure, networking, storage, and distributed database systems Build automation and diagnostic tooling; log analysis, alert correlation, incident investigation, runbook automation, and remediation workflows so problems get solved once, not repeatedly Turn recurring incidents into reusable tools, automation, documentation, and product improvements Improve observability across latency, availability, throughput, and resource efficiency Partner with database and infrastructure engineers to make Zilliz Cloud more reliable, scalable, and automated What we are looking for: 3+ years building or operating production cloud systems, infrastructure platforms, database systems, or large-scale online services Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience Strong hands-on experience with Kubernetes, Docker, and at least one major cloud platform (AWS, GCP, or Azure) Solid understanding of distributed systems; availability, scalability, performance, failure recovery, and operational tradeoffs Experience with distributed databases, storage systems, search systems, or large-scale online systems is a strong plus Experience operating highly multi-tenant systems or large infrastructure fleets; thousands of nodes, clusters, tenants, or customer deployments is especially valuable Familiarity with modern cloud operations tooling such as Terraform, Helm, Argo CD, Prometheus, Grafana, and CI/CD systems Strong bias for action, and the drive to thrive in a fast-paced, rapidly scaling environment How we operate: High ownership: You own production reliability end-to-end. The whole system, not a slice of it. High autonomy, high trust, minimal process. Fast and focused: We ship often and keep a high bar. This team suits engineers who want velocity and a steep growth curve over red tape. Globally distributed: We work closely with our core engineering teams across APAC. Occasional early morning or evening syncs in exchange for an on-call setup designed around timezone coverage, not overnight pages. Zilliz is an Equal Opportunity Employer and welcomes people from all backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment regardless of race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Software Engineer, GenAI Integrations
SnapLogic Atherton, California
Job Description Job Description About SnapLogic SnapLogic is the Agentic Integration Company, integrating AI, data, applications, and microservices into one powerful platform that transforms how enterprises connect, automate, and scale. Unlike legacy integration tools, SnapLogic is built for the AI era and trusted by global leaders, including AstraZeneca, Adobe, Verizon, Epsilon and Sony. With its industry-leading platform, SnapLogic empowers every team across the enterprise to securely build faster, smarter, AI-connected workflows - all through natural language and intuitive low-code design. Join the Agentic Integration movement at The Role: We are looking for a Software Engineer to join our Agent Creator team, focusing on building and maintaining LLM integrations within the SnapLogic integration platform. In this role, you will design and implement AI-related Snap Packs that connect SnapLogic pipelines to diverse AI models, multimodal platforms, and evolving AI toolchains - enabling customers to build intelligent, enterprise-grade automation workflows at scale. You will own the full engineering lifecycle-from system design and prototyping through production deployment and operational excellence. Additionally, you will be a core driver of AI-assisted development practices within the team, combining your expertise with advanced AI coding agents to accelerate product delivery. What You'll Do: 1. Core Product & Integration Development AI Provider Integrations: Design, build, test, and ship Snap Packs for major AI providers, ensuring robust and high-performing connections. Cross-Provider Feature Parity: Implement and standardize advanced LLM capabilities across different providers, including Structured Outputs, Reasoning Models, Function Calling, Background Mode, and Vector Store integrations. Agent Framework & MCP: Develop and maintain the SnapLogic Agent Framework to support complex agentic workflows (incorporating iteration control, parallel tool calls, and observable execution via Agent Visualizer). Contribute to the Model Context Protocol (MCP) Server platform, including lifecycle management, observability, and registry. 2. Engineering Excellence & AI-Assisted Development AI-Augmented Coding: Leverage AI coding agents to write well-crafted, testable, and maintainable code, while maintaining full ownership, deep understanding, and accountability for the AI-generated codebase. Internal AI Innovation: Lead internal AI-driven initiatives to accelerate team velocity; rapidly prototype, validate, and productionalize internal AI tools (e.g., building dedicated AI Agents to automate Snap development). Code Quality & Operations: Write clean, structured, and testable Java/Python code adhering to checkstyle standards, maintaining a 90%+ unit test coverage target. Participate in code reviews and collaborate with QA/Release teams to validate builds across the production environment. 3. Strategy & Knowledge Sharing Trend Adoption: Stay at the forefront of the rapidly evolving AI ecosystem, selectively landing cutting-edge capabilities into the SnapLogic product line to deliver immediate customer value. Evangelism & Documentation: Institutionalize project learnings into high-quality technical documentation. Share knowledge through internal demos and evangelize engineering and AI best practices across the organization. What You'll Bring: Experience & Education: Bachelor's degree with a minimum of 2 years of related experience, or an advanced degree, or equivalent practical work experience. Agentic & AI Patterns: Strong foundational understanding of agentic design patterns (tool use, agent loops, function calling, structured outputs, reasoning models). Frameworks & APIs: Robust understanding of MCP (Model Context Protocol) or AI agent orchestration frameworks. Hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Google Vertex AI, or Amazon Bedrock; Anthropic experience is highly preferred). Backend & Data Skills: Solid experience building or consuming REST APIs and a strong command of JSON Schema and structured data validation. Engineering Persona: Attention to Detail: Deep care for edge cases, comprehensive error handling, and intuitive user-facing validation/lint messages. Ambiguity Thriver: Ability to quickly self-learn, synthesize information, and drive towards a solution when facing ambiguous problems outside your immediate expertise. Collaboration: Strong cross-functional communication skills to work seamlessly across backend, platform, and UI teams. Nice to Have: Experience with SnapLogic or similar iPaaS (Integration Platform as a Service) / enterprise integration platforms. Familiarity with Maven-based build systems and modern CI/CD pipelines. Python experience (ideally for developing platform-layer components). The above range is the approximate annual U.S. base pay range for this position. Final offer amounts are determined by multiple factors, including candidate location, experience and expertise, and may vary from the range listed. In addition to base salaries, certain roles are also eligible for annual cash bonuses or commissions. All of our full time employees receive a comprehensive benefits package. Why Join: There's never been a better time to join our SnapSquad! At SnapLogic, we believe in empowering people - customers and employees alike - to integrate everything and create anything. From competitive salaries and equity packages to global wellness benefits, we're committed to your success and well-being. A Few Reasons You'll Love it Here: We're Innovators SnapLogic pioneered the first generative integration solution, SnapGPT, and continues to lead with a full suite of AI-powered tools - making integration faster, smarter, and accessible to more people. We're Recognized Leaders From being named a Visionary in multiple Gartner Magic Quadrants, leading the market in innovative AI reports from Aragon Research, or being recognized for AI in the Cloud Awards, we're setting the pace in a rapidly evolving market. We're Growing Fast Named one of Inc. 5000's Fastest Growing Private Companies in 2024, SnapLogic is scaling globally - and we want you to grow with us. We're Agentic Our platform empowers everyone across the enterprise to create automated, AI-connected workflows. That means more impact, less friction, and a bigger role for YOU in driving transformation. Are you ready to help the world integrate everything and create anything? Let's talk. Apply now and help shape the future of integration. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
08/05/2026
Full time
Job Description Job Description About SnapLogic SnapLogic is the Agentic Integration Company, integrating AI, data, applications, and microservices into one powerful platform that transforms how enterprises connect, automate, and scale. Unlike legacy integration tools, SnapLogic is built for the AI era and trusted by global leaders, including AstraZeneca, Adobe, Verizon, Epsilon and Sony. With its industry-leading platform, SnapLogic empowers every team across the enterprise to securely build faster, smarter, AI-connected workflows - all through natural language and intuitive low-code design. Join the Agentic Integration movement at The Role: We are looking for a Software Engineer to join our Agent Creator team, focusing on building and maintaining LLM integrations within the SnapLogic integration platform. In this role, you will design and implement AI-related Snap Packs that connect SnapLogic pipelines to diverse AI models, multimodal platforms, and evolving AI toolchains - enabling customers to build intelligent, enterprise-grade automation workflows at scale. You will own the full engineering lifecycle-from system design and prototyping through production deployment and operational excellence. Additionally, you will be a core driver of AI-assisted development practices within the team, combining your expertise with advanced AI coding agents to accelerate product delivery. What You'll Do: 1. Core Product & Integration Development AI Provider Integrations: Design, build, test, and ship Snap Packs for major AI providers, ensuring robust and high-performing connections. Cross-Provider Feature Parity: Implement and standardize advanced LLM capabilities across different providers, including Structured Outputs, Reasoning Models, Function Calling, Background Mode, and Vector Store integrations. Agent Framework & MCP: Develop and maintain the SnapLogic Agent Framework to support complex agentic workflows (incorporating iteration control, parallel tool calls, and observable execution via Agent Visualizer). Contribute to the Model Context Protocol (MCP) Server platform, including lifecycle management, observability, and registry. 2. Engineering Excellence & AI-Assisted Development AI-Augmented Coding: Leverage AI coding agents to write well-crafted, testable, and maintainable code, while maintaining full ownership, deep understanding, and accountability for the AI-generated codebase. Internal AI Innovation: Lead internal AI-driven initiatives to accelerate team velocity; rapidly prototype, validate, and productionalize internal AI tools (e.g., building dedicated AI Agents to automate Snap development). Code Quality & Operations: Write clean, structured, and testable Java/Python code adhering to checkstyle standards, maintaining a 90%+ unit test coverage target. Participate in code reviews and collaborate with QA/Release teams to validate builds across the production environment. 3. Strategy & Knowledge Sharing Trend Adoption: Stay at the forefront of the rapidly evolving AI ecosystem, selectively landing cutting-edge capabilities into the SnapLogic product line to deliver immediate customer value. Evangelism & Documentation: Institutionalize project learnings into high-quality technical documentation. Share knowledge through internal demos and evangelize engineering and AI best practices across the organization. What You'll Bring: Experience & Education: Bachelor's degree with a minimum of 2 years of related experience, or an advanced degree, or equivalent practical work experience. Agentic & AI Patterns: Strong foundational understanding of agentic design patterns (tool use, agent loops, function calling, structured outputs, reasoning models). Frameworks & APIs: Robust understanding of MCP (Model Context Protocol) or AI agent orchestration frameworks. Hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Google Vertex AI, or Amazon Bedrock; Anthropic experience is highly preferred). Backend & Data Skills: Solid experience building or consuming REST APIs and a strong command of JSON Schema and structured data validation. Engineering Persona: Attention to Detail: Deep care for edge cases, comprehensive error handling, and intuitive user-facing validation/lint messages. Ambiguity Thriver: Ability to quickly self-learn, synthesize information, and drive towards a solution when facing ambiguous problems outside your immediate expertise. Collaboration: Strong cross-functional communication skills to work seamlessly across backend, platform, and UI teams. Nice to Have: Experience with SnapLogic or similar iPaaS (Integration Platform as a Service) / enterprise integration platforms. Familiarity with Maven-based build systems and modern CI/CD pipelines. Python experience (ideally for developing platform-layer components). The above range is the approximate annual U.S. base pay range for this position. Final offer amounts are determined by multiple factors, including candidate location, experience and expertise, and may vary from the range listed. In addition to base salaries, certain roles are also eligible for annual cash bonuses or commissions. All of our full time employees receive a comprehensive benefits package. Why Join: There's never been a better time to join our SnapSquad! At SnapLogic, we believe in empowering people - customers and employees alike - to integrate everything and create anything. From competitive salaries and equity packages to global wellness benefits, we're committed to your success and well-being. A Few Reasons You'll Love it Here: We're Innovators SnapLogic pioneered the first generative integration solution, SnapGPT, and continues to lead with a full suite of AI-powered tools - making integration faster, smarter, and accessible to more people. We're Recognized Leaders From being named a Visionary in multiple Gartner Magic Quadrants, leading the market in innovative AI reports from Aragon Research, or being recognized for AI in the Cloud Awards, we're setting the pace in a rapidly evolving market. We're Growing Fast Named one of Inc. 5000's Fastest Growing Private Companies in 2024, SnapLogic is scaling globally - and we want you to grow with us. We're Agentic Our platform empowers everyone across the enterprise to create automated, AI-connected workflows. That means more impact, less friction, and a bigger role for YOU in driving transformation. Are you ready to help the world integrate everything and create anything? Let's talk. Apply now and help shape the future of integration. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Compiler Optimization Engineer
Lemurian Labs Alviso, California
Job Description Job Description About Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system - from a laptop to a supercomputer - feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact - designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We're looking for a Graph Optimization Compiler Engineer to own the middle tier of our AI compiler stack - the layer where high-level model graphs are transformed, simplified, and made ready for efficient code generation. You'll design and implement the optimization passes that make the difference between a model that runs and a model that flies. This role sits between our compiler front end and code generation backend. You'll work on graph-level transformations - fusion, layout optimization, dead code elimination, constant folding, and more - with a direct line of sight to the performance outcomes your work produces. If you think in data flow graphs and optimization passes, and you want that thinking to power the next generation of AI infrastructure, we'd love to talk. What You'll Do Design, develop, and maintain the graph optimization layer of our heterogeneous AI compiler Implement and extend graph-level transformation passes including operator fusion, layout propagation, dead code elimination, constant folding, and algebraic simplification Define and evolve our intermediate representation (IR) to support new optimization opportunities as ML model architectures advance Analyze performance data to identify optimization gaps and drive measurable improvements in throughput and latency Collaborate with front end and code generation teams to ensure clean IR interfaces and well-structured optimization pipelines Propose and prototype new optimization strategies in response to advances in model design and hardware capabilities Contribute to testing and validation infrastructure to ensure optimization correctness across model types and hardware targets Requirements Essential Skills and Experience BS degree in Computer Science, Computer Engineering, or equivalent practical experience 4+ years of experience working with compilers, with a focus on intermediate representation design or optimization passes Deep knowledge of graph-level compiler optimization techniques - fusion, tiling, layout transformations, and related methods 4+ years of experience with C/C++ Strong written and verbal communication skills; ability to write clear and concise technical documentation Preferred Skills and Experience Master's or PhD in Computer Science, Computer Engineering, or equivalent Experience with polyhedral models or affine analysis for loop and tensor optimization Familiarity with hardware memory hierarchies and how layout decisions impact performance on GPUs or accelerators Experience working with MLIR, XLA, or similar graph-level IR frameworks Experience with ML framework internals - PyTorch eager/compile mode, JAX/XLA, or TensorRT Strong understanding of ML model architectures and their computational patterns (attention, convolution, normalization, etc.) Knowledge of quantization, sparsity, or other model-level optimization techniques Contributions to open-source compiler or ML infrastructure projects Why Join Lemurian Labs Own a critical layer of our compiler stack where optimization decisions have direct, measurable impact on model performance Work on the hardest graph-level problems in AI infrastructure - across diverse hardware targets and model architectures Collaborate with a team that treats infrastructure as a canvas and optimization as a craft Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.
08/05/2026
Full time
Job Description Job Description About Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system - from a laptop to a supercomputer - feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact - designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We're looking for a Graph Optimization Compiler Engineer to own the middle tier of our AI compiler stack - the layer where high-level model graphs are transformed, simplified, and made ready for efficient code generation. You'll design and implement the optimization passes that make the difference between a model that runs and a model that flies. This role sits between our compiler front end and code generation backend. You'll work on graph-level transformations - fusion, layout optimization, dead code elimination, constant folding, and more - with a direct line of sight to the performance outcomes your work produces. If you think in data flow graphs and optimization passes, and you want that thinking to power the next generation of AI infrastructure, we'd love to talk. What You'll Do Design, develop, and maintain the graph optimization layer of our heterogeneous AI compiler Implement and extend graph-level transformation passes including operator fusion, layout propagation, dead code elimination, constant folding, and algebraic simplification Define and evolve our intermediate representation (IR) to support new optimization opportunities as ML model architectures advance Analyze performance data to identify optimization gaps and drive measurable improvements in throughput and latency Collaborate with front end and code generation teams to ensure clean IR interfaces and well-structured optimization pipelines Propose and prototype new optimization strategies in response to advances in model design and hardware capabilities Contribute to testing and validation infrastructure to ensure optimization correctness across model types and hardware targets Requirements Essential Skills and Experience BS degree in Computer Science, Computer Engineering, or equivalent practical experience 4+ years of experience working with compilers, with a focus on intermediate representation design or optimization passes Deep knowledge of graph-level compiler optimization techniques - fusion, tiling, layout transformations, and related methods 4+ years of experience with C/C++ Strong written and verbal communication skills; ability to write clear and concise technical documentation Preferred Skills and Experience Master's or PhD in Computer Science, Computer Engineering, or equivalent Experience with polyhedral models or affine analysis for loop and tensor optimization Familiarity with hardware memory hierarchies and how layout decisions impact performance on GPUs or accelerators Experience working with MLIR, XLA, or similar graph-level IR frameworks Experience with ML framework internals - PyTorch eager/compile mode, JAX/XLA, or TensorRT Strong understanding of ML model architectures and their computational patterns (attention, convolution, normalization, etc.) Knowledge of quantization, sparsity, or other model-level optimization techniques Contributions to open-source compiler or ML infrastructure projects Why Join Lemurian Labs Own a critical layer of our compiler stack where optimization decisions have direct, measurable impact on model performance Work on the hardest graph-level problems in AI infrastructure - across diverse hardware targets and model architectures Collaborate with a team that treats infrastructure as a canvas and optimization as a craft Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.

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