Delivery Consultant - Cloud Application Asean Professional Services jobs at Amazon in Singapore

Key job responsibilities
• Lead documentation improvement initiatives across multiple operational processes
• Collaborate with cross-functional teams to update and maintain knowledge management systems
• Support business intelligence and data analytics projects
• Assist with system configurations and operational support
• Manage and track issue resolution across various platforms
• Partner with logistics service providers on operational improvements
A day in the lifeDiverse 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

- • Currently enrolled in a Bachelor's or Master's degree program in Supply Chain Management, Logistics, Business Analytics, Engineering, or related field
- • Strong analytical and problem-solving skills
- • Excellent written and verbal communication abilities in English
- • Experience with data analysis and process documentation
- • Proficiency in Microsoft Office suite

- • Previous internship experience in program management, supply chain operations, and/or technical documentation
- • Familiarity with wiki platforms and documentation systems
- • Working knowledge in business intelligence/analytics (e.g. SQL, Python, etc.)
- • Experience in global transportation and/or logistics operations
- • Strong organizational skills with ability to manage multiple priorities

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.

Key job responsibilities
- Ensure success in building and migrating and modernizing applications, software and services onto the AWS platform
- Build repeatable mechanisms, architectures, solutions, and playbooks to enable faster, cheaper, predictable, and risk-free workload migrations to AWS
- Technology Breadth: demonstrate architectural best practices applied across a breadth of technologies to solve organizational problems, articulate views/roadmaps for future development, and understand the interaction between infrastructure, operations, and development.About the team
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

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

- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of software development tools and methodologies
- Experience working with end user or developer communities
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

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

“WARNING: Choking Hazard — small parts. Not for children under 3 years.”“WARNING: This product can expose you to chemicals including antimony trioxide, which are known to cause cancer or birth defects or other reproductive harm.”Key job responsibilities
A day in the life
- Hiring and mentorship: Help build a two-pizza team from scratch, ensuring high standards for engineering excellence to influence SDEs in the years to come- Deeply understand technical decisions, influence long-term architecture
- Work closely with international stakeholders across our VP-level Trustworthy Shopping Experience org, in addition to TPM and PM-T

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities- Lead cross-functional initiatives to expand markets/accounts, develop scalable programs to drive adoption, and identify new opportunities within the SAP domain.
- Set and achieve long-term growth goals for ASEAN, meeting or exceeding revenue and non-revenue driven KPIs.
- Build and maintain strong relationships with key SAP executives and partners in the region.- Analyze market trends and competitive landscape to inform strategic decisions.A day in the life
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

- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of professional or military experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience selling enterprise software or cloud-based applications
- Experience explaining complex technical concepts to various business and technical audiences
- Experience presenting to both technical and non-technical executive audiences

- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
- 5+ experience in selling SAP solutions in ASEAN at SAP or in a SAP Partner, with strong network of existing relationships with SAP teams across ASEAN.

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