Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Cloud Engineer with Python to support migrations and new deployments on cloud platforms like Azure, AWS, and Google Cloud. The role involves designing software integrations, automating server deployment processes, and troubleshooting customer performance issues.

Responsibilities

• Collaborate with cloud providers (Azure, AWS, Google Cloud Platform) to support migrations and new deployments
• Design, test, and validate new server SKUs in partnership with Technical Account Managers and engineering teams
• Build tools and automation to streamline server configuration, validation, and deployment processes before hand-off to Quality Engineering (QE) testing
• Design and develop software integrations with cloud services and internal APIs to support automation of infrastructure operations
• Automate server deployment and scaling processes using tools such as Puppet, Ansible, and Git
• Troubleshoot and resolve tier-3 customer performance issues with a strong emphasis on debugging and root cause analysis
• Act as a technical point of contact for hyperscaler integration issues, particularly for database nodes and performance validation
• Balance short-term customer-driven priorities with long-term capacity planning and automation improvements

Skills

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
• Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years' experience; or equivalent experience
• Strong hands-on software engineering experience or infrastructure software development experience, with strong proficiency in Python, Go, or similar languages
• Working knowledge of hyperscaler (Google Cloud Platform, AWS, or Azure)
• Proficient in Linux system administration and debugging
• Experience with infrastructure automation tools (Puppet, Ansible)
• Solid scripting and automation skills with a developer mindset
• Familiarity with Git and code-based deployment workflows
• Ability to work in a fast-paced environment where priorities shift frequently
• Excellent problem-solving skills, curiosity, and ability to work without a predefined solution path
• Knowledge of ServiceNow platform
• Experience writing infrastructure tests or using test frameworks in a dev-oriented capacity
• Background working on developer platforms, DevOps tooling, or internal automation systems
• Exposure to infrastructure-as-code tools (Terraform, Ansible) from a software-centric perspective

Benefits

• Position Type: W2 Contract
• Visa: EAD

Company Overview