Description

Key Responsibilities:

• Ensure application security, performance, and scalability within regulated environments (HIPAA, FedRAMP High).
• Write clean, maintainable, and well-documented code following industry best practices.
• Troubleshoot and resolve issues across the application stack.
• Collaborate within an Agile development process, including sprint planning and code reviews.
• Build and maintain CI/CD pipelines using AWS CodePipeline, CodeBuild, and Git-based workflows.
• Develop and automate cloud infrastructure using Terraform and/or AWS CDK.
• Design, build, and operationalize data and ML pipelines using AWS Glue, Step Functions, Lambda, EMR, and SageMaker.
• Write robust AWS Glue ETL jobs (Python/PySpark) with exception handling, logging, and CloudWatch monitoring.
• Implement monitoring and dashboards in CloudWatch for ETL processes, data pipelines, and ML endpoints.
• Work with PostgreSQL, MySQL, DynamoDB, and data lake technologies.
• Apply security best practices including IAM least privilege, encryption, and secrets management.
• Contribute to architecture documentation, runbooks, and design reviews.

Required Qualifications:

• Strong experience with Linux environments.
• Expert-level Python skills; knowledge of C++ and Go preferred.
• Experience with Django.
• Strong proficiency in AWS or Azure (experience in both is preferred; ability to learn the other quickly is required).
• Experience deploying and managing containerized applications (ECS strongly preferred; Kubernetes a plus).
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• Minimum 7 years of post-education professional experience (work-study does not apply).
• AWS and/or Azure Professional-level certifications strongly preferred

Key Skills

Education

Bachelor's degree