Senior AI Platform and Reliability Engineer

Company Summary
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 critical challenge of transitioning from reactive, threshold-based monitoring to a proactive, self-healing infrastructure. The primary focus is bridging the gap between experimental machine learning and production-grade software by architecting resilient systems that orchestrate Large Language Models and agentic workflows. By leveraging predictive intelligence and deep observability, this position ensures the stability and efficiency of high-traffic order provisioning and device activation journeys in complex cloud environments.
What Success Looks Like (Objectives)

• Architect and deploy self-healing infrastructure that moves operations toward predictive intelligence and autonomous remediation
• Design high-scale AI orchestration workflows and RAG pipelines to solve real-world business problems while optimizing for token costs and performance
• Automate the resolution of recurring Tier-1 and Tier-2 incidents using Runbooks-as-Code to reduce manual toil and improve system reliability
• Lead the fine-tuning and evaluation of open-source models to ensure high-quality data retrieval and minimize hallucination rates in production
• Establish AI engineering best practices through comprehensive code reviews and mentorship of junior engineers transitioning to AI-native development
• Implement full-stack observability across the customer order journey to diagnose and resolve complex provisioning issues before they impact the user experience

Skills, Experience and Requirements
Core Skills and Competencies (What you'll bring)

• Expert proficiency in Python and Java to develop production-grade backend systems and complex AI microservices
• Deep technical expertise in Generative AI architectures, including Transformer models, prompt engineering, and the integration of Large Language Models
• Critical experience architecting Retrieval-Augmented Generation (RAG) pipelines and managing unstructured data within vector databases like Milvus
• Advanced knowledge of observability platforms such as Dynatrace and AWS CloudWatch to drive data-driven decision-making and system performance
• Demonstrated ability to design and implement automation tools using Python, Ansible, and Bash to achieve autonomous infrastructure remediation
• AI literacy and the capacity to innovate by applying emerging AI-Ops tools and predictive intelligence to traditional site reliability challenges

Additional Qualifications

• Contributions to open-source AI projects or a documented portfolio of Agentic AI applications
• Professional certifications in Cloud AI (e.g., AWS Certified Machine Learning - Specialty)
• Experience building scalable applications leveraging IBM Watsonx.ai and/or AWS Bedrock, ensuring our AI solutions are governed, secure, and performant

Minimum Requirements

• Minimum Education: Bachelor's Degree in Computer Science, Information Technology, or a relevant field (or 5+ years of equivalent software engineering experience)
• Minimum Experience: 5+ years of experience in backend or full-stack software development, with at least 2 years focused on AI-powered development
• Required Technical Skills:
  
  • Critical experience in Python-based API orchestration and custom tool development
  • Hands-on expertise with AWS cloud services, Serverless architectures, and Kubernetes
  • Proven track record in AI-driven software development with 2+ years of specialized experience in architecting and deploying autonomous AI agents and intelligent bot frameworks

Salary Ranges
Compensation: $96,250.00/Year - $145,000.00/Year
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; all benefits can be viewed here: EchoStar Benefits .
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.
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 echostar.com and jobs.echostar.com accessible to users. Please contact [email protected] 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: EEO Policy Statement , Pay Transparency , EEOC Know Your Rights ( English / Spanish )