Build and maintain components of a self-service SDLC platform using AWS, Python, and Bash scripting

Assist in integrating AWS serverless and PaaS services to support development, testing, and deployment workflows

Utilize tools such as CloudFormation, AWS CDK, Terraform, and SAM for resource and infrastructure provisioning

Contribute to the implementation and optimization of CI/CD pipelines using Bamboo CI, Jenkins, or similar tools

Collaborate with teams to understand and address platform needs and improvements

Support the establishment of guidelines for AWS Cloud services, CI/CD workflows, Python, and Bash scripting

Assist with monitoring platform security, performance, and availability, including compliance with standards

Participate in evaluating new technologies and methods to improve the platform

Provide troubleshooting support to development teams and promote a collaborative engineering culture

2+ years of experience in cloud platform engineering, with a focus on AWS Cloud, CI/CD, Python, and Bash scripting

Practical knowledge of deploying and managing AWS Cloud services and their use with CI/CD tools

Basic understanding of algorithms, data structures, and time complexity concepts

Familiarity with solving simple to medium-complexity algorithms

Working experience with CloudFormation, AWS CDK, Terraform, or SAM

Hands-on experience configuring and managing CI/CD pipelines using Bamboo CI, Jenkins, or similar tools

Competency in Python and Bash scripting with relevant development exposure

Familiarity with containerization technologies such as Docker or Kubernetes

Solid problem-solving skills alongside effective communication and collaboration abilities

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

Proficient verbal and written English communication skills, at least at a B1+ level

Relevant cloud or DevOps certifications

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

Exposure to other cloud platforms, such as Azure