Principal Consultant- AWS
CDWAbout the role
The AWS Principal Consultant engages with clients and internal teams to provide design and engineering activities for AWS projects and solutions. This role is expected to be a thought leader in the areas of technical solutions provided for our customer. The Principal Consultant is also responsible for working with Management to align delivery teams on best practices and upskilling architecture and engineering resources.
What you will do:
Professional services delivery for CDW customers globally on major Public Cloud platforms
Aggregate oversight of technical solutions across multiple projects to ensure synergy in our approach and broad visibility to the solutions delivery team
Works closely with other CDW consulting groups for cohesive technical solution approaches focusing on bridging the gap between sales and delivery
Focuses on technical standardization and opinionated approaches for client solutions
Assists management with technical growth plans for engineers and architects
Assists with SOW reviews and approval as needed.
Assists with technical screening for new candidate interviews
Lead technical deployment engineering with customers on workload design on major public cloud vendors.
Provide workshops and training events for customers and industry leaders on emerging technologies in Public Cloud
Training and Mentoring Engineers and Architects to take on Cloud and DevOps projects
Providing Engineering Services for AWS, coordinating engagement strategies, and qualifying technical resource augments
Proficiency in automation tools and technologies relevant to IT operations, such as configuration management tools (e.g., Ansible, Puppet, Chef), continuous integration/continuous deployment (CI/CD) tools (e.g., Jenkins, GitLab CI/CD), infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation), and containerization platforms (e.g., Docker, Kubernetes).
Deep understanding of AI and machine learning algorithms, including supervised learning, unsupervised learning, reinforcement learning, deep learning, and natural language processing (NLP)
Continuous learning and staying updated with the latest advancements, research papers, and breakthroughs in AI and related fields.
Oversee team projects to ensure delivery excellence and act as an escalation point.
Ability to analyze complex systems, workflows, and dependencies to design effective automation solutions that address business needs and requirements.
Strong knowledge of DevOps principles and practices, including continuous integration, continuous delivery, infrastructure as code, and automated testing.
Experience in implementing DevOps workflows and pipelines to automate software development, testing, deployment, and operations processes.
Performing Billable work at other DV clients (Consulting Engagements)
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