AWS Cloud Engineer

2 weeks ago


Boston, United States Compunnel Inc. Full time

Role - AWS Cloud Engineer

Location - Boston MA

Hybrid - 5 days onsite a month

Must Have - AWS (SageMaker, Lambdas, S3, Buckets), ETL, Python, Machine Learning Ops experience. SageMaker is an absolute must plus CI/CD experience.


The Expertise You Have

  • 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).


The Skills You Bring

  • You have strong technical design and analysis skills.
  • You the ability to deal with ambiguity and work in fast paced environment.
  • Your experience supporting critical applications.
  • You are familiar with applied data science methods, feature engineering and machine learning algorithms.
  • Your Data wrangling experience with structured, semi-structure and unstructured data.
  • Your experience building ML infrastructure, with an eye towards software engineering.
  • You have excellent communication skills, both through written and verbal channels.
  • You have excellent collaboration skills to work with multiple teams in the organization.
  • Your ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem.


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