דרושים ב-Amazon ב-Philippines, Taguig

The Amazon Web Services Professional Services (ProServe) team is seeking a highly skilled and versatile Engagement Manager (EM) to join our team and lead the delivery of complex cloud solution projects. In this role you will combine technical expertise with strong project leadership skills to drive successful implementations of AWS-based solutions for our clients. You will bridge business requirements with technical solutions, facilitating technical discussions and ensuring alignment with customer outcomes. Applying AWS frameworks like Well-Architected and Cloud Adoption Framework while demonstrating technical credibility across diverse stakeholders, you will distill customer needs into clear technical requirements, decompose complex problems, and make informed trade-off decisions considering performance, scalability, security, and business impact.Possessing strong technology and program/project management experience, you will validate technical solutions against business goals, recognize when additional technical evaluation is needed, and manage technical risks. You will be expected to achieve and maintain relevant AWS certifications, develop domain-specific expertise, and effectively communicate technical concepts to both technical and business audiences. As you progress, you’ll lead increasingly complex technical projects, shape cross-organizational technical strategies, and establish best practices in your domain. In this role you will apply your management and leadership capabilities to successfully execute project plans, proactively identify and manage risks, resolve issues, escalate when appropriate, and drive projects to successful completion, while exceeding customer expectation
Key job responsibilities
As an experienced technology professional, you will be responsible for leading Generative AI engagements:- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
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 below, 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.

- 5+ years' experience in cloud computing.
- Experience in project management of technical programs
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience- Generative AI solution design, architecture and implementation experience
- Oversees AI Center of Acceleration operations, ensuring proper governance and alignment of all AI initiatives

- AWS experience preferred
- Project Management Professional (PMP) and/or AWS Certified Solutions Architect - Associate
- Strong understanding of AWS services, architectures, and best practices
- Experience applying AWS frameworks like Well-Architected and Cloud Adoption Framework
- Proven ability to establish technical credibility with engineering teams and senior technical decision-makers
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences

Key job responsibilities
1. Build Analytical Applications and Dashboards:
- Design and develop interactive, user-friendly analytical applications and dashboards to enable data-driven decision-making for ShipTech stakeholders.
- Integrate with various data sources and APIs to provide a comprehensive view of shipping operations and performance metrics.
- Implement advanced data visualization techniques and interactive features to enhance the user experience.
2. Ensure Operational Reliability and Scalability:
- Monitor the health and performance of the ShipTech analytics platform, proactively identifying and resolving issues to maintain high availability and responsiveness.
- Implement robust testing frameworks, continuous integration, and deployment processes to ensure the reliability and consistency of the platform.
- Partner with data scientists, product managers, and domain experts to understand business requirements and translate them into technical solutions.
- Participate in design discussions, code reviews, and knowledge-sharing sessions to align on best practices and architectural decisions.
- Provide technical guidance and mentorship to more junior engineers to foster a culture of continuous learning and improvement.
4. Drive Innovation and Continuous Improvement:
- Stay up-to-date with the latest trends and technologies in the data engineering and analytics space.
- Identify opportunities to enhance the ShipTech analytics platform, proposing and implementing innovative solutions to improve efficiency, scalability, and user experience.
- Contribute to the development of reusable components, libraries, and frameworks to accelerate future project delivery.
5. Ensure Compliance and Data Governance:
- Implement data security and access controls to protect sensitive information and comply with relevant regulations and policies.- Document architectural decisions, operational procedures, and best practices to maintain the long-term maintainability of the platform.

- Bachelor's degree in computer science or equivalent
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design, or experience in development in the last 3 years
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience troubleshooting and debugging technical systems

- Experience with AWS or cloud technologies
- Experience in delivering design solutions for projects of large scope and complexity
- Experience with explainable machine learning and artificial intelligence methodologies and tools
- Experience building web applications with React and modern web technologies

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:- Providing technical guidance and troubleshooting support throughout project delivery- Collaborating with stakeholders to gather requirements and propose effective migration strategies- 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.

- 2+ year of experience in cloud architecture and implementation- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience- 2+ years experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences- Experience with source control repositories (e.g. GitHub/GitLab, SVN, Mercurial, and Perforce)- Exposure to APIs, microservices, and distributed application architectures

As a Technical Account Manager you will provide consultative architectural and operational guidance delivered to help customers achieve the greatest value from AWS.As we continue to rapidly expand in Singapore, you’ll have plenty of opportunities to develop your technical, consulting and leadership skills. You’ll work with talented cloud technologists whilst expanding your knowledge of AWS products. You’ll also have the chance to receive mentorship and gain AWS certifications.Key job responsibilities
You’ll build solutions, provide technical guidance and advocate for the customerEnsure AWS environments remain operationally healthy whilst reducing cost and complexityUsing your technical acumen and customer obsession, you’ll drive technical discussions regarding incidents, trade-offs, and risk managementConsult with a range of partners from developers through to C-suite executivesWith a bias for action, you'll proactively find opportunities for customers to gain additional value from AWSProvide detailed reviews of service disruptions, metrics, detailed prelaunch planningBeing part of a wider Enterprise Support team you’ll provide post-sales, consultative expertise
A day in the life
As a trusted advisor you’ll have a direct impact in helping our customers gain the most value from cloud technology. You’ll craft and execute strategies to drive our customers’ adoption and use of AWS services.
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

- 5+ years of experience in a similar role as a Technical Account Manager, Consultant, Solutions Architect, Platform Engineer, Systems Engineer, Cloud Architect, Service Delivery Manager etc.
- Expertise in two or more technical domains (e.g. System administration, networking, programming, dev ops, security, compute, storage, databases, big data, analytics, etc.)
- Internal enterprise or external customer-facing experience with the ability to clearly articulate to small and large audiences

- Professional experience with AWS and/or other cloud offerings such as Azure, Google Cloud Platform etc.
- Understanding of DevOps practices and tools including Continuous Integration / Deployment etc.

Key job responsibilities
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ year of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ year of experience in the industry as a ML practitioner
- Ability to think strategically about business, solutions and technical challenges.
- A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.

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 Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
• Provide customer and market feedback to product and engineering teams to help define product direction

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development
- PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or PhD and 7+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
- 5+ years of building machine learning models or developing algorithms for business application experience
- 5+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Have peer-reviewed scientific contributions in premier journals and conferences
- 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.

Adopting Latest Technology: You will have the chance to work with the latest technologies, frameworks, and tools to build these foundational services. This includes leveraging cutting-edge advancements in areas such as cloud computing, distributed systems, data processing, and real-time analytics.Solving High-Scale Processing Challenges: This project will involve handling millions of transactions per day, presenting you with the unique challenge of designing and implementing robust, high-performance solutions that can handle this scale of volume efficiently. You will be challenged to tackle complex problems related to data processing, queuing, and real-time analytics.Cross-Functional and Senior Engineer Collaboration: You will work closely with cross-functional teams, including product managers, data engineers, and accountants. You will also be working directly with multiple Principal Engineers and presenting your work to Senior Principal Engineers. This experience will give you the opportunities and visibility to help build the required leadership skills to enhance your career.
Key job responsibilities
- Define high level and low level design for software solutions using the latest AWS technology in a large distributed environment.
- Take the lead on defining and implementing engineering best practices and using data to define and improve operational best practices.
- Help drive the architecture and technology choices for FinTech accounting products.- Raise the bar on code quality, including security, readability, consistency, maintainability.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree

- 3+ 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