About the Client

Our client is a multi-million dollar organization, a leading force in technological innovation, revolutionizing communication, navigation, and entertainment systems globally. With a focus on safety and efficiency, they have set industry benchmarks for connectivity solutions. 

About the Role

Experience: 3 - 5 Years
Location: Pune

Whom are we looking for:

• Over all 3-5 years of experience.
• Proficient in Python, Groovy or Shell scripting
• Extensive experience in AWS services, deployment and management of AWS resources (EC2, EMR, Glue, S3, RDS, load balancers)
• Implementation of CI/CD pipelines for automated deployment, testing, and monitoring (AWS CodePipeline, ECR, GitLab)
• String experience in infrastructure automation using CloudFormation or Terraform
• Proficient in automation and scripting with AWS tools (CloudFormation, CLI, SDKs)
• Should have experience managing code quality and repository

Key Responsibilities:

• infrastructure as Code: Design, develop, and maintain infra as code for AWS services to support various data projects, with a focus on automation, efficiency, scalability, and reliability
• CI/CD: Design and develop AWS CodePipeline to manage continuous delivery service that helps to automate the release pipelines for fast and reliable application and infrastructure updates.
• MLOps: Develop MLops process and framework to support machine learning operations to help you automate and standardize processes across the ML lifecycle. Using SageMaker or other MLOps tools, to easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. 

If you're interested in this opportunity and believe your skills align with the requirements, please share your profile with Pearlin Hannah at [email protected].