AI Platform Engineer II

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department Summary Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow. Job Duties and Responsibilities Candidates 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, Python or Bash scripting for automation Visa sponsorship not available for this role Salary Ranges, 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 the 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 and accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. Click the links to access the following statements: , , EEOC Know Your Rights ( / )

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 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 a 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

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; all benefits can be viewed here: ., + $102,900-148,500 per year

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role’s location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.