Delivery Consultant - AppDev, WWPS, FedCiv

Amazon; Arlington (VA); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a skilled Delivery Consultant to join their dynamic team. In this pivotal role, you will leverage your expertise in AWS to design and implement innovative solutions that drive customer success. You will collaborate with stakeholders to assess needs, propose effective strategies, and ensure best practices are followed throughout the project lifecycle. Your deep knowledge of cloud architecture and machine learning will be essential in delivering tailored solutions that meet diverse client requirements. This is a fantastic opportunity to make a significant impact in a collaborative and inclusive environment where your contributions will be valued.

Qualifications

• 3+ years in cloud architecture and implementation with AWS.
• Proficient in programming and developing machine learning systems.

Responsibilities

• Design and implement scalable AWS solutions tailored to customer needs.
• Provide technical guidance and support throughout project delivery.

Skills

Cloud Architecture

AWS Solutions

Software Development

Machine Learning

Deep Learning

Python Programming

Security Clearance

Automation and Scripting

Education

Bachelor's Degree in Computer Science

Graduate Degree in related field

Tools

AWS Services (EC2, S3, RDS, etc.)

Terraform

PyTorch

TensorFlow

Job description

Delivery Consultant - AppDev, WWPS, FedCiv

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.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.

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 artifacts

Minimum Requirements

- 3+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ years professional software development experience, including experience programming with at least one software language, and 3+ years of design or architecture (design patterns, reliability and scaling) of new and existing systems.
- 3+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models.
- Current, active US Government Security Clearance of TS/SCI with Polygraph

- 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)
- Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field
- Experience using Python and frameworks such as PyTorch, TensorFlow, and practical experience in solving complex problems in an applied environment
- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2, as well as experience with machine learning, deep learning, NLP, generative AI, distributed training, and model hosting

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information.