Senior Cloud Application Developer

Job Overview

Job Description

Sr Cloud Application Developer needs 3 years of professional software engineering experience
Sr Cloud Application Developer requires:
• Bachelor’s Degree
• At least 3 years of professional software engineering experience
• 1+ years of experience with AWS, GCP, Azure, or another cloud service
• 1+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
• 1+ years of experience in open source frameworks

Preferred Qualifications:
• Infrastructure as Code experience, like Terraform, CloudFormation, CDK, etc.
• Strong technical knowledge of AWS relating to application development.
• Ability to write code to automate manual processes
• Ability to communicate at all levels within an organization and influence leadership.
• Proven ability to work with cross functional teams and translate requirements between business, project management and technical projects or programs
Sr Cloud Application Developer duties:
• Identifies, drives and leads in the implementation of products to standardize how we deploy applications in AWS/GCP.
• Designs reusable architectures and services that can be leveraged by agile teams to improve development velocity.
• Develops applications in Python, Node.js, Java to support automating manual processes and repeatable decision making.
• Develops Infrastructure as Code (IaC) using Terraform, YAML files, build specifications, Python and Lambda functions to have a completely automated build and release process for all AWS resource infrastructure and code artifacts.
• Design and implement infrastructure, processes, procedures, and automations for global complex multi-cloud environments
• Integrate different cloud services with traditional back-end data services.
• Build from the ground up reliable infrastructure service to deliver highly secure and scalable services
• Document designs, processes, projects, tools, standards, and techniques and ensure documentation is maintained and relevant
• Define best practices and seek inefficient processes to drive orchestration/automation.