Principal Delivery Consultant - Application jobs at Amazon in United States, Seattle

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

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

- Experience with testing consumer devices

Key job responsibilities
- Develop breakthroughs is agentic architecture in areas such as autonomy, self-validation, and continuous learning.
- Mentor and guide junior scientists.
- Develop technology strategy and roadmap supporting product development
- Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype
- Write technical reports summarizing R&D progresses and communicate such progresses with stakeholders

- PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience
- 8+ years of building models for business application 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: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering.

• Experience using Unix/Linux
• Experience in professional software development

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
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
About AWS:
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.

- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years of experience in cloud architecture and implementation
- 5+ years of hands-on experience in programming languages such as Python, Ruby, Go, Java, JavaScript, .Net, C++, YAML, JSON, and TypeScript
- 5+ years of experience developing scalable CI/CD strategies with tools such as Jenkins, Azure DevOps, GitLab, ArgoCD, GitHub Actions, and Harness
- 5+ years of experience with Infrastructure as Code such as CloudFormation, Terraform, or CDK

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Hands on experience with microservice and serverless orchestration architectures such as Kubernetes, EKS, Docker, and Lambda
- Hands on experience designing and implementing ETL data pipelines (Kafka, Airflow, Spark, Hadoop, Glue), MLOps pipelines (Sagemaker, MLFlow, Kubeflow), or LLMOps pipelinesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
* Drive the science roadmap across multiple teams, helping coordinate a cohesive science agenda across the org.* Mentoring applied scientists across the org, growing their skills and careers.About our organization:

- Experience working in predictive modeling and analysis
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives

- Experience creating novel algorithms and advancing the state of the art

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 artifactsDiverse 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.AWS Global Services

- 3+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 1+ years in automating security operations including scripting and automation to build scalable and secure environments, automating security assessments and remediation workflows, and implementing security policies as code
- 1+ years in advanced incident response to lead response efforts including leading detection and analysis efforts and managing eradication processes
- 3+ years of experience with security services and best practices including: implementing security controls and optimizing security measures

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Certified Security Specialty) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Understanding of industry standards (e.g., PCI-DSS, ISO 27001, HIPAA, NIST frameworks
- Implementation experience with enterprise security solutions (e.g., WAF, IPS, Anti-DDOS, SIEM)Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.The ideal candidate will be highly analytical, excited about data mining and generate insights that will influence the direction the organization. You will be curious and comfortable digging deep into data and developing core metrics to identify areas of improvement and partner with the business to find effective solutions. You will develop new ways to measure and track our performance, and improve the customer experience by building robust technical and analytical solutions to help us better understand customer needs. You will empower data driven decision making through implementing principles of data mining, data modelling, and analytical skills to define and measure metrics for evaluating health of the business. You will be able to extract, integrate and work on critical data to build out data pipelines, automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders.Key job responsibilities
• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.
• Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.
• Gathering business and functional requirements and translating the gathered requirements into robust, scalable, operable solutions that work well within the overall data architecture.
• Analyzing source data systems and driving best practices in source teams.
• Analyzing large amounts of data, discovering and solving real world problems, and building metrics and business cases to help business teams to make decisions.
• Participating in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance to produce comprehensive, usable dataset documentation and metadata.
• Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Identifying business process improvements from the data level.
• Analyzing and evaluating business process, and through data driven insights proposing and implementing business process improvement.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

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 4+ years of experience with data visualization using Tableau, Quicksight, or similar tools
- 4+ years of experience with data modeling, warehousing and building ETL pipelines
- 4+ years of experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 4+ years of experience working as a BIE in a technology company
- 4+ years of experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- 3+ years of experience with forecasting and statistical analysis
- 3+ years of experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- 3+ years of experience in Statistical Analysis packages such as R, SAS and Matlab

As a Software Development Engineer, you will help solve a variety of technical challenges and build highly scalable solutions to solve unique problems for worldwide accounting/finance teams. You will work on big data problems making use of AWS services, design enterprise scaled systems, develop and deploy highly scalable and reliable distributed services. You will tackle challenging, novel situations every day. Along the way, we guarantee that you will learn a ton, have fun and make a huge impact.

- 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
- Bachelor's degree or equivalent
- 3+ years of programming with at least one software programming language experience

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Hands-on experience developing applications using Generative AI technologies including building AI agents, implementing Retrieval-Augmented Generation (RAG) systems, with responsible AI safeguards
- Experience implementing and optimizing machine learning models in production environments