Senior Solutions Architect Edge Services Us jobs at Amazon in United States, Dallas

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 industry business and IT Advisory professional, you will be responsible for:2. Leading cloud operations transformations, including the design of cloud operating models, organizational change management strategies, FinOps implementations, and cloud governance frameworks.3. Driving enterprise transformations leveraging cloud and emerging technologies through program management, value realization strategies, and cloud strategy development.4. Spearheading data and AI transformations, with a focus on Generative AI advisory for delivery, user adoption, operations transformation, and AI governance.5. Orchestrating large-scale cloud migration and modernization plans, aligning application portfolios with business priorities and architecting data center exit strategies.6. Cultivating strategic relationships with C-suite executives and key stakeholders to become a trusted advisor on cloud transformation initiatives.A day in the life
About 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.

- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of experience in management consulting or internal technology advisory roles, with minimum 2 completed projects in any of the following industries: Financial Services, IT, Telecommunications, Media, Healthcare, Manufacturing, or Retail
- 3+ years experience in enterprise cloud transformation initiatives involving C-suite executives with at least 1 project from the following industries: Financial Services, IT, Telecommunications, Media, Healthcare, Manufacturing, or Retail
- 3+ years experience working cross-functional with teams of 10+ members each, managing complex programs spanning at least 2 distinct organizations per program

We desire you to have an established background in design, development and operations of highly scalable and available distributed systems. You must have strong technical skills, excellent project management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. It is a highly technical space. You are a strong technical contributor who understands the big picture, drives prioritization, builds consensus, and rallies the team behind it. Responsibilities include driving architecture, design, and implementation of complex components while maintaining an uncompromising bar on quality and mentoring junior developers for software within the team.Utility Computing (UC)
Key job responsibilitiesA day in the life
You will communicate a lot, with the team, peers and management. Communication happens over different channel; Slack, email, and Chime. You will prepare and review design docs, project plans, features one pagers, incident retrospectives, change requests and progress reports. And for sure, you will write and review code, and work with CI/CD tools.
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.Work/Life BalanceMentorship & 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 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
- Design and implement highly scalable and realistic simulation environments for training agents using reinforcement learning.
- Develop and deploy generative AI approaches to automate the creation of diverse and complex simulation environments and scenarios.
- Analyze, troubleshoot, and profile complex machine learning systems within the simulation context, identifying and resolving performance bottlenecks.

- PhD, or Master's degree or 5+ years of applied research experience
- Experience programming in C++, Python or related language
- Experience with simulation and synthetic data generation
- Experience with neural deep learning methods and machine learning

- PhD in Computer Science, Machine Learning, or a related field
- 3+ years' experience building machine learning models (includes internships)
- Demonstrated experience in developing and implementing simulation environments or synthetic data generation for reinforcement learning.
- Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teamsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 6+ 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)
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- 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.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI 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
Key job responsibilities
As an experienced technology professional, you will be responsible for:2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.About 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.

- 5+ years cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 8+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 5+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)

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 Colocation Technician in AWS, you will get to help build and maintain a Cloud Computing Infrastructure across a number of local and remote Edge locations in the Americas.The role involves some periods working independently from your team and requires the ability to drive change while maintaining excellent communication.Your day job will include (but not limited to):• Installation and configuration of routers, switches and DWDM hardware.
• Troubleshoot fiber optic and copper cabling, network installations and configuration.
• Coordinating colocation remote hands for new capacity installations.
• Coordinating colocation remote hands and eyes for any network issues.
• Resolving colocation facility issues.
• Identify, coordinate, and remediate outside plant (OSP) connectivity issues.
• Participating in small to mid-size projects creating or expanding colocation sites.
• Building relationships with remote facilities to ensure swift response times to events.
• Performing site audits to ensure safety and quality meets AWS standards.
• Improving all operational processes within each site and/or cage.
• Updating AWS tools.
• Providing status updates to stakeholders via internal tools.
• Decommissioning of cabling and network hardware in collaboration with partner teams as needed.
• Physical Requirements (all physical requirements may be done with reasonable accommodations).
• This position has a physical component requiring the ability to lift & rack equipment up to 40lbs; it may require working in cramped spaces or in elevated locations while adhering to health & safety guidelines.
• This role involves up to 60% travel, the vast majority is local travel but may have potential to include some including some international travel at times.Key job responsibilities
You are someone who is highly autonomous, very detail oriented and possesses very strong written & verbal communication skills. You will have previous hands on technical troubleshooting experience and a proven ability solving complex problems. You possess strong technical knowledge of fiber optics and networking equipment.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 computer science or equivalent
- Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies
- 2+ years of Linux, UNIX administration as well as troubleshooting Network installation and configuration

- Experience dealing with customers during problem resolution and operating efficiently under pressure as well as a proven ability to manage customer expectations and resolve conflicts that balance client and company needs.
- Understanding of distributed and service-oriented architectures.
- LEAN, Sigma and Operational Excellence knowledge and/or proficiency as well as with MS Office, MS Project, SQL.
- Excellent knowledge of server hardware as well as of Linux, UNIX administration as well as Copper/Fiber Optic Testing/Cabling Standards understanding of DWDM and TCP/IP networks.
- 4+ years working in a data center operations environment.

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 implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About 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.

- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience in software development with object oriented language
- 4+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

- AWS Professional level certification
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning and statistics
- Experience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.