Cotiviti is seeking an Intern Cloud Engineer who will focus on developing, optimizing, and supporting cloud-based solutions within their AWS environment. The role involves leveraging cloud technologies to drive innovation, efficiency, and scalability while collaborating with engineering teams to implement CI/CD pipelines and DevOps workflows.
Responsibilities:
- Develop, deploy, and manage AWS cloud services, including Lambda functions, Step Functions, and EventBridge
- Work with Python and Node.js for backend development and automation
- Design, build, and optimize cloud-based data pipelines using AWS Glue and crawlers
- Implement infrastructure-as-code using Terraform to manage AWS environments
- Support and troubleshoot AWS cloud environments, identifying and resolving errors
- Optimize existing pipelines for performance, cost, and scalability
- Experiment with new cloud solutions to drive innovation within the organization
- Apply good design principles and system architecture best practices
- Collaborate with engineering teams to implement CI/CD pipelines and DevOps workflows
Requirements:
- Currently enrolled in a BS or MS program with a technology-related major
- Completion of at least 12 credit hours of relevant coursework
- Basic proficiency with AWS services, including Lambda, Step Functions, Glue, DynamoDB, and Athena
- Familiarity with infrastructure-as-code (Terraform) and version control (Git/GitHub)
- Basic understanding of SQL and relational databases
- Strong troubleshooting, problem-solving, and analytical skills
- Self-motivated with excellent research and communication skills
- Ability to work independently and collaboratively in a remote environment
- Experience with event-driven architectures and streaming technologies (Kafka, Flink, Kinesis)
- Exposure to Generative AI solutions in the cloud (Amazon Bedrock, AI agents, etc.)
- Experience with AWS services such as DynamoDB (NoSQL) and Athena
- Familiarity with Octopus for deployment automation
- Understanding of security best practices in cloud computing