Support the daily operations, maintenance, and optimization of a hybrid cloud environment across GCP and private cloud platforms (OCP) to ensure availability, performance, and reliability.
Develop and contribute to automation, AI/ML, and GenAI driven solutions that improve platform reliability, operational efficiency, and incident response.
Assist with deploying, configuring, and managing cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform and defined engineering procedures.
Provide production engineering support, including troubleshooting application and platform issues, supporting incident resolution, and partnering with application teams.
Build and maintain Python program libraries, scripts, and pipelines to automate routine operational and engineering tasks.
Collaborate with teams supporting enterprise AI initiatives, data analytics platforms, and warehouse technologies.
Learn and apply best practices for cloud monitoring, observability, logging, and platform operations.
Participate in an on-call rotation (approximately every six weeks) to support code or platform issues impacting production systems.

6+ months of Technology Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Basic understanding of cloud computing concepts (GCP, AWS, or Azure) gained through coursework, projects, training, or hands on experience.
Familiarity with Linux/Unix environments and command line tools.
Foundational understanding of containerization and orchestration concepts (e.g., Docker, Kubernetes, OpenShift).
Exposure to at least one programming or scripting language, such as Python, Bash, or Go, through academic, project based, or professional experience.
Exposure to automation, monitoring, or observability concepts through coursework or projects.
Proficiency in Microsoft Office tools, managing email and calendars in Outlook, and building presentations in PowerPoint.
Experience communicating technical issues or access-related concerns across technical and non-technical teams.
Demonstrated ability to manage multiple tasks simultaneously and meet deadlines in academic or professional settings.
Bachelor’s in computer science or related field preferred but not required.
Google Cloud Certified – Associate Cloud Engineer or Kubernetes Application Developer (CKAD) Certifications preferred but not required.

Engineering Associate – Cloud Infrastructure, Platform Engineering

Key skills