Note: The job is a remote job and is open to candidates in USA. CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology. The AWS Principal Consultant engages with clients and internal teams to provide design and engineering activities for AWS projects and solutions, acting as a thought leader and aligning delivery teams on best practices.
Responsibilities
- 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)
- Support Presales architects on large deals to validate consulting estimates as well as provide needed expertise for Cloud/DevOps projects
- Meet Training and certification requirements for selected Vendors (AWS, Hashicorp, Docker, CKA, etc.)
- Help develop and mature our Cloud Solutions practice areas in response to client needs and market demand
- Travel estimate is 10%
- Internal projects when applicable
Skills
- Bachelor's Degree and 7+ years of IT Infrastructure experience, including at least 3 years in large enterprise consulting
- 10+ years of IT Infrastructure experience, including at least 3 years in large enterprise consulting
- Demonstrate leadership and provide expert advice on technical matters and architecture design
- Be a subject matter expert, staying updated with the latest technology trends
- Proven ability to maintain client relationships as a trusted advisor
- Mentor engineers for project design and coordination
- Excellent communication skills
- Experience in making technology recommendations
- History of building constructive relationships at all organizational levels
- Ability to research complex technology solutions and present them to clients
- Remain calm and productive in situations of change, ambiguity, and risk
- Ability to multitask and prioritize in a fast-paced environment
- Willingness to travel to other CDW locations or client sites
- A valid U.S. driver's license
- Demonstrated knowledge of public cloud platforms
- Expertise in automation and infrastructure as code
- Deep understanding of Kubernetes architecture, including master and worker nodes, API server, etcd, kubelet, kube-proxy, and container runtimes
- Knowledge of Kubernetes networking concepts, including service discovery, load balancing, network policies, and container networking interfaces (CNI)
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