Design and maintain a scalable, self-service SDLC platform using AWS, Python, and Bash scripting

Integrate diverse AWS serverless and PaaS services to streamline development, testing, and deployment processes

Leverage CloudFormation, AWS CDK, Terraform, and SAM for automated resource and infrastructure provisioning

Implement and optimize CI/CD pipelines using Bamboo CI, Jenkins, or similar tools to enhance release efficiency

Collaborate with cross-functional teams to understand and address evolving platform requirements

Establish best practices for AWS Cloud services, CI/CD workflows, Python, and Bash scripting within the organization

Monitor and manage platform security, performance, and availability, ensuring compliance with industry standards

Continuously explore new technologies and approaches to enhance the platform's capabilities

Provide support and troubleshooting expertise to development teams, fostering a collaborative engineering culture

3+ years of production experience in cloud platform engineering, focusing on AWS Cloud, CI/CD, Python, and Bash scripting

Proven expertise in deploying and managing AWS Cloud services and their integrations with CI/CD tools

Solid understanding of algorithms, data structures, and Big-O time complexity

Background in solving medium-complexity algorithms (e.g., LeetCode) and ability to pass live coding interviews

Strong knowledge and practical experience with CloudFormation, AWS CDK, Terraform, and Serverless Application Model (SAM)

Proficiency in configuring and managing CI/CD pipelines using Bamboo CI, Jenkins, or similar tools

Expert-level skills in Python and Bash scripting with hands-on development experience

Knowledge of containerization technologies such as Docker and Kubernetes

Strong problem-solving and debugging skills alongside excellent communication and teamwork abilities

Flexibility to engage with global teams during a 9-11 AM CST time window

Strong verbal and written communication skills in English, at least at a B2 level

AWS Solutions Architect Professional and/or DevOps Engineer Professional certification

Demonstrated experience building self-service platforms for large-scale, global organizations

Familiarity with other cloud platforms, such as Azure