Physical Security Architect Data Center Design Engineering jobs at Amazon in Singapore

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.We have an immediate opening for a Project Design Electrical Engineer in Singapore. If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you!Key job responsibilities
As an Amazon Fleet Remediation Project Design Electrical Engineer, you will lead design projects in operational data centers, that remediate issues, upgrade our existing infrastructure or add new services. You will be the 'go to' engineering resource for these projects and will provide lifecycle support from design through implementation. You will use your electrical expertise to:
• Own the design for existing data center upgrades and design-solutions which add data center infrastructure, capacity, improve availability, and/or increase sustainability.
• Prepare/review short circuit coordination studies and maintain the software models to match as-built site conditions.
• Perform design and equipment submittal review for Data Centers in your region.
• Interface with internal and external data center design engineering team, server hardware team, environmental health and safety team, field engineering, and controls engineering to promote standards that maintain consistency and reliability in services delivered.
• Work on concurrent projects, sometimes in multiple geographical regions.
• Act as a technical subject matter expert for your given discipline during new remediation projects.
• Support construction, commissioning, operations, and turnover.A day in the life
Each day you will interact with different teams responsible for all aspects of the data centers. You will prioritize your activities to support data center safety, remediation projects, capacity, and availability, focusing on the actions that are most impactful. You will have the opportunity to work on projects locally and globally.About the team
About AWS
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.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

- Bachelor's degree in Electrical Engineering or a related field
- Experience as a resident engineer or hands-on design consultant
- 5+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience
- Experience with the design, construction, operation, or maintenance of mission critical facilities, especially data centers

- Professional Engineer License
- Experience carrying design concepts through exploration, development, and into deployment or mass production
- Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents

The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the- art solutions for never-before-solved problems.As a Deep Learning Architect, you will
About the team
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.
Why AWS?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

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years of hands on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of technical specialist, design and architecture experience
- 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- Hands-on experience in developing scalable, high-performance data ingestion and engineering pipelines, performing complex data transformations across large datasets using Apache Spark, Python, and/or Scala to implement data lake architectures
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, CI/CD automation, build processes, testing, and operations experience

- AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
- 5+ years Technical experience preferred, knowledge of Data Technology stack of AWS
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Knowledge of AI/ML concepts and practical applications
- Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- - Ability to understand and educate customers on cloud computing technologies and workload transition challenges.

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 Delivery Ops PM Intern, you will drive process improvement initiatives such as mechanism reviews, building reporting/dashboards and drafting project proposals to optimize our core tools/systems including engaging with our customers to understand their painpoints.
Key job responsibilities
• Assist in project management data validation and data clean up across a large volume of critical infrastructure projects in the system of record
• Gather business and functional requirements and translate the gathered requirements into robust, scalable, operable solutions that work well within the overall data architecture
• Analyze large amounts of data, discover and solve real world problems, and build metrics and business cases to help business teams to make decisions
A day in the life
About the team
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.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

Quality Services (QS) organization provides testing support for Devices, Retail and AWS products. The primary objective of QS organization is to provide manual testing support. An Associate, Quality Services performs manual test execution of documented task instructions. They produce accurate test results meeting daily targets, adhering to defined processes.Roles & Responsibilities:- Gain understanding of the application test procedures and how to use applicable software and tools.- Execute test instructions and report test results accurately and promptly.
- Report any deviations observed
- Understand any changes in test instructions related to their assigned work
- Follow defined processes to perform assigned work
Key job responsibilities
- Gain understanding of the application test procedures and how to use applicable software and tools.- Execute test instructions and report test results accurately and promptly.
- Report any deviations observed
- Understand any changes in test instructions related to their assigned work
- Follow defined processes to perform assigned work
About the team
“Quality Services (QS) is 1000+ member organization providing manual test services for a wide range of Amazon products and operates out of Chennai, India and Arlington, VA. Test services include regression testing, new feature testing, accessibility testing using diversity workforce, localisation testing to support international marketplace testing and interoperability testing across 1P / 3P devices for services.

- Bachelor's degree
- Knowledge of QA methodology and tools

- - Understanding about software testing. Ability to complete assigned tasks accurately and promptly.

You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.Key job responsibilities
- Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
- Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches
- Analyze and extract insights from large amounts of data
- Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language
- Use modeling tools to bootstrap or test new AI functionalities

- Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)
- 2+ years experience in computational linguistics or language data processing or AI data creation
- Experience with language data annotation systems and other forms of data markup
- Proficient with scripting languages, such as Python
- Experience working with speech, text, and multimodal data in multiple languages
- Excellent communication, strong organizational skills and very detailed oriented
- Comfortable working in a fast paced, highly collaborative, dynamic work environment

- PhD in Computational Linguistics (or equivalent field with computational emphasis)
- Expertise in bootstrapping AI data collections for quickly evolving requirements
- Extensive experience working with speech, text, and multimodal data in multiple languages
- Experience in data creation for complex agentic workflows
- Practical experience with Machine Learning
- Familiarity with technical concepts such as APIs
- Practical knowledge of version control and agile development
- Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)
- Willingness to support several projects at one time, and to accept reprioritization as necessary
- Able to think creatively and possess strong analytical and problem solving skills

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, security and quality 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
Business Analytics
• Translate basic business problem statements into analysis requirements
• Communicate analysis and work with business stakeholders to understand its value and propose changesBusiness Intelligence
• Developing audit and compliance mechanisms to ensure the data integrity
• Write queries and output efficiently
• Convert data to make it analysis- ready through basic descriptives, aggregations, and pivots
• Implement/deploy data visualization or communication tools (e.g., metrics dashboards, decks)
• Gathering data across APAC to support reporting, including scope, schedule, budget, resources, quality and risk management, reporting and metric development/trackingOperational Excellence
• Identify gaps, measure inefficiencies/impact, propose actions, measure success and iterate
• Identifying gaps and creating system SOPs to drive efficiencies and reduce level of efforts (LOEs) on repeating and overlapping data entries, eliminate non-value-add activities, removing blockers, and driving automation
• Building metrics on Dashboard for KPI and Key Value Drivers reporting to drive better performance internally and externally
• Liaising with APAC, AMER and EMEA counterparts to drive global alignmentA day in the life
You will use data and anecdotes to tactically drive internal customers to manage project risks (safety, quality, time and cost) globally. You will use your knowledge and experience to develop dashboards. You will apply business acumens to develop actionable insights and simplifying reporting to peers and the leadership to drive better business outcomes. You will need to have the backbone to tell the business what is slowing us down backed with data analysed. You will partner peers to develop solutions that enable the business to be agile and adaptable to deliver high quality builds with consistency.
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.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

- 2+ years of program or project management experience
- Knowledge of SQL at an intermediate level, including: compile queries, subqueries, aggregation/grouping, data modification, etc.
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- Experience communicating complex business concepts in verbal and written form