AWS Cloud Engineer

Title

AWS Cloud Engineer (with Python, Sagemaker)

Location

• Durham NC
• Westlake TX
• Boston MA (Need Locals Only)

Duration

Long Term Contract

Job Description

• Has Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.).
• Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.).
• Experience in building cloud native applications using AWS services like S3, RDS, CFT, SNS, SQS, Step functions, Event Bridge, cloud watch etc.,
• Experience with building data pipelines in getting the data required to build, deploy and evaluate ML models, using tools like Apache Spark, AWS Glue or other distributed data processing frameworks.
• Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.
• Strong knowledge of developing highly scalable distributed systems using Open-source technologies.
• 5+ years of proven experience in implementing Big data solutions in data analytics space.
• Experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker.
• Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
• Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
• Solid experience in Agile methodologies (Kanban and SCRUM).