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Delivery Consultant – Communications Apps, Data & Machine Learning, WWPS US Federal

Amazon

Arlington (VA)

On-site

USD 90,000 - 150,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a skilled Delivery Consultant to enhance customer success through cloud solutions. In this dynamic role, you will leverage your expertise in AWS to design and implement tailored solutions, guiding clients through their cloud journey. You'll collaborate closely with stakeholders, ensuring optimal performance and adherence to best practices while mentoring team members. This position offers the chance to work on innovative projects within a diverse and inclusive environment, making a significant impact on clients’ business outcomes. If you are passionate about technology and thrive in a collaborative setting, this opportunity is perfect for you.

Qualifications

  • 3+ years of experience in cloud architecture and implementation required.
  • Experience with contact center technology platforms and AWS services preferred.

Responsibilities

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

Skills

Cloud Architecture
Technical Guidance
Stakeholder Collaboration
Mentoring and Training
Communication Skills

Education

Bachelor's degree in Computer Science
Master's degree in Computer Science or Engineering

Tools

AWS Services (EC2, S3, RDS, Lambda)
Contact Center Technology Platforms (Avaya, Cisco)
Terraform
Python

Job description

Delivery Consultant – Communications Apps, Data and Machine Learning, WWPS US Federal

Job ID: 2907607 | Amazon Web Services, Inc.

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.

It is expected to work from one of the above locations (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed.

This position requires that the candidate selected be a US Citizen and have the ability to obtain a Secret security clearance or higher.

Key job responsibilities

  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

BASIC QUALIFICATIONS
  1. 3+ years of experience in cloud architecture and implementation
  2. Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
  3. 3+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer
  4. Experience working with leading contact center technology platforms and applications, such as Avaya, Cisco, Genesys, Verint, NICE, Salesforce, etc.
  5. Individual contributor technical practitioner with hands-on experience working on the design, development and deployment of contact center solutions at scale
PREFERRED QUALIFICATIONS
  1. AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
  2. AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
  3. Experience with automation and scripting (e.g., Terraform, Python)
  4. Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
  5. Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
  6. Preferred background in Computer Science, Information Systems, or Engineering, with a Master's degree desired
  7. 3+ years experience building call center/collaboration/telephony platforms, including cloud-based web applications, CRM/WFM integrations, and serverless development with AWS services

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.

Posted: March 4, 2025 (Updated about 23 hours ago)

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Delivery Consultant – Communications Apps, Data and Machine Learning, WWPS US Federal

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Arlington

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30+ days ago