AI Platform Engineer II

Job Duties and Responsibilities Candidate must be willing to participate in at least one in‑person interview, which may include a live whiteboarding or technical assessment session. This role addresses the challenge of scaling and securing enterprise‑grade AI infrastructure within a complex, high‑demand cloud environment. Success involves bridging the gap between raw data capabilities and actionable AI insights through the implementation of resilient automation and robust governance frameworks. By solving for platform reliability and self‑service efficiency, this engineer ensures that data scientists and developers can deploy innovative solutions without infrastructure bottlenecks. What Success Looks Like (Objectives) Provision scalable and secure Databricks workspaces through sophisticated Infrastructure‑as‑Code (Terraform) and automated deployment bundles Standardize the adoption of Unity Catalog to ensure all data assets are classified, tagged, and governed according to strict security standards Integrate AI agents effectively through the implementation and maintenance of Model Context Protocol (MCP) server frameworks Support high platform uptime and rapid service restoration by participating in proactive monitoring, root cause analysis, and incident response protocols Contribute to cost‑saving initiatives by enforcing cluster policies and executing resource management tasks Accelerate team onboarding and minimize manual intervention by developing intuitive self‑service tooling and robust CI/CD pipelines Skills, Experience and Requirements Core Skills and Competencies (What you’ll bring) Critical experiences in administering production‑scale Databricks environments and engineering cloud‑native infrastructure Proficiency in AI Literacy, specifically regarding the integration of AI agent frameworks and large‑scale ML platform support Practical experience in enterprise data governance, metadata management, and access control strategies within a Lakehouse architecture Strong proficiency in automation using Python, Bash, and modern CI/CD tooling to drive engineering excellence Collaborative spirit with the ability to mentor junior team members and provide technical guidance on platform best practices Adaptive problem‑solving skills required to navigate complex distributed systems and maintain performance in regulated environments Minimum Requirements Minimum Education: Bachelor’s Degree in Computer Science, Information Technology, or related field Minimum Experience: 3 years of experience in Platform Engineering, DevOps, or Cloud Operations Required Technical Skills: Databricks administration and operation in production environments Infrastructure‑as‑Code using Terraform Cloud platform services (AWS S3, IAM, VPC) Python or Bash scripting for automation Visa sponsorship not available for this role. Benefits We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan. Compensation: $100,980.00/Year - $136,625.00/Year. The base pay range shown is a guideline. Individual total compensation will vary based on qualifications, skill level, and competencies; compensation is based on the role’s location and is subject to change based on work location. Equal Employment Opportunity Statement We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish). #J-18808-Ljbffr EchoStar