AI Infrastructure Datacenter Design Engineer 2
Astreya
AI Infrastructure Datacenter Design Engineer 2
Astreya
AI-powered managed IT services provider
Summary
The AI Infrastructure Datacenter Design Engineer Level 2 independently handles moderate-complexity data hall designs and infrastructure projects while supporting operational improvements and design optimization initiatives.
Key Responsibilities
● Develop and maintain medium-complexity data hall layouts and infrastructure designs.
● Perform rack elevations, cable routing designs, power and space planning activities.
● Conduct infrastructure assessments and recommend improvements for efficiency and scalability.
● Collaborate with cross-functional teams on implementation and deployment activities.
● Troubleshoot design conflicts and support issue resolution efforts.
● Ensure design documentation complies with company and industry standards.
● Support project delivery timelines and milestone tracking.
● Assist in mentoring junior engineers and reviewing basic design work.
Scope & Complexity
● Works independently on moderately complex projects.
● Begins contributing to process improvements and technical standards.
● Handles multiple concurrent assignments with limited supervision.
Requirements
● Strong understanding of data center infrastructure and design standards.
● 2–4 years of relevant experience in data center or telecom infrastructure environments.
● Proficiency in AutoCAD and infrastructure documentation.
● Good communication and collaboration skills.
Astreya provides IT managed services for large enterprises, designing, deploying, and running their technology environments. Its offerings cover cloud, infrastructure, security, digital workplace services, and AI-powered support, including an AI-driven service desk and an AI Ops platform. It differentiates itself by tightly integrating with a client’s existing stack and partnering with platforms like Google Cloud, Databricks, and ServiceNow to deliver end-to-end managed IT with in-house AI capabilities. Its goal is to help enterprises run IT more efficiently and securely while expanding impact through partnerships and acquisitions, including supporting Cognizant's AI-first managed services strategy.
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