Senior AI DevOps Engineer

EchoStar Job Posting

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.

Technology Team Overview

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.

Bridge the gap between experimental machine learning and production-grade software by engineering systems that orchestrate Large Language Models (LLMs) and "agentic" workflows. Build and champion a "Self-Healing" infrastructure that moves operations beyond traditional monitoring into a new era of observability and predictive intelligence. Solve complex business problems by integrating RAG pipelines and autonomous remediation tools to ensure high-performance, intelligent system reliability across cloud environments.

What Success Looks Like (Objectives)

• Implement complex AI workflows using frameworks like LangChain and LlamaIndex to drive agentic solutions for enterprise-level challenges.

• Deliver high-quality RAG pipelines utilizing Milvus vector databases to improve data retrieval accuracy and reduce model hallucinations.

• Automate Tier-1 and Tier-2 incident resolutions by developing "Runbooks-as-Code" using Python and Ansible for self-healing infrastructure.

• Establish rigorous evaluation frameworks to measure model performance and accuracy, ensuring production-grade reliability for LLM responses.

• Champion the transition to AI-native development by mentoring junior engineers and defining engineering best practices across the department.

• Optimize system performance and cost by engineering microservices that handle asynchronous AI processing and intelligent token management.

Core Skills and Competencies (What you'll bring)

• Mastery of backend engineering and API design (RESTful/GraphQL) to seamlessly expose AI capabilities to complex frontend applications.

• Expert proficiency in AI integration and the current LLM landscape, including prompt engineering and the orchestration of Transformer-based models.

• Advanced technical literacy in AI-specific monitoring and observability tools like Dynatrace, LangSmith, or Weights & Biases to track model performance.

• Critical experience in designing ETL pipelines for unstructured data and managing vector databases to support scalable RAG systems.

• Strong collaborative leadership and decision-making skills to guide cross-functional teams through the complexities of cloud-native AI development.

• A fearless and curious approach to problem-solving that enables the rapid adoption of emerging technologies like autonomous agents and predictive intelligence.

Additional Qualifications

• Contributions to open-source AI projects or a portfolio of "Agentic" AI applications.

• Certifications in Cloud AI (e.g., AWS Certified Machine Learning – Specialty).

Minimum Requirements

• Minimum Education: Bachelor's Degree in Computer Science, Information Technology, or a relevant field.

• Minimum Experience: 5+ years of professional experience in backend or full-stack software development with a focus on AI/ML integration.

• Required Technical Skills: * Python or Java for high-traffic application development.

  • Modern AWS services including Serverless, Kubernetes, and EC2.

  • Automation and configuration tools such as Ansible and Bash scripting.

Visa sponsorship not available for this role

Salary Ranges

Compensation: $96,250.00/Year - $137,500.00/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 View email address on click.appcast.io 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)