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. With a deep understanding of AWS products and services, a Delivery Consultant will architect complex, scalable, and secure solutions tailored to each customer’s needs. You will gather requirements, assess current infrastructure, propose migration strategies, lead implementation, ensure best practices, optimize performance, and manage risks.
Key Job Responsibilities
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
Basic Qualifications
- Experience as technical specialist in design and architecture
- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
- Experience in consulting, design and implementation of serverless distributed solutions
- Experience in cloud based solution (AWS or equivalent), system, network and operating system
- Experience in external or internal customer facing, complex and large scale project management
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience building large-scale machine learning and AI solutions at Internet scale
Preferred Qualifications
- PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience working with or evaluating AI systems
- Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)
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