AI Infrastructure DC Design Engineer 4
Astreya
AI Infrastructure DC Design Engineer 4
Astreya
AI-powered managed IT services provider
Summary
The AI Infrastructure Datacenter Design Engineer Level 4 serves as a senior technical leader responsible for highly complex, large-scale data hall designs and strategic infrastructure initiatives. This role drives technical standards, design governance, and cross-functional coordination across multiple programs.
Key Responsibilities
● Lead large-scale and highly complex infrastructure design initiatives across multiple data halls or regions.
● Define and enforce engineering standards, design methodologies, and operational best practices.
● Provide technical leadership for major infrastructure upgrades, migrations, and expansion projects.
● Mentor senior engineers and lead technical knowledge-sharing initiatives.
● Review and approve critical infrastructure designs and engineering decisions.
● Drive innovation and continuous improvement in data center design processes and technologies.
● Partner with leadership teams on capacity planning, strategic roadmap development, and operational planning.
● Manage high-priority escalations and provide expert-level troubleshooting support.
● Support vendor evaluations, technical reviews, and architecture governance processes.
Scope & Complexity
● Leads multiple teams, programs, or highly strategic initiatives.
● Handles enterprise-scale and mission-critical projects.
● Significant influence on technical direction and organizational standards.
Requirements
● Expert-level knowledge of data center infrastructure and architecture.
● 10+ years of industry experience with demonstrated technical leadership.
● Strong leadership, mentoring, and stakeholder management skills.
● Experience managing large-scale infrastructure programs.
● Relevant certifications preferred (CCNA, PMP, Autodesk, ITIL, etc.).
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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