Engineering Manager, Cloud & AI Products

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.
EchoStar is seeking a skilled and visionary Engineering Manager to lead our AI Engineering team. This role requires strong technical leadership, cloud-native engineering expertise, and a focus on operational excellence. You will be responsible for enabling the scalable deployment of AI/GenAI applications in production environments by driving engineering standards, DevOps/MLOps practices, and cross-functional collaboration.
Key Responsibilities:

• Lead and mentor an Agile team of software engineers, MLOps, and cloud specialists delivering AI, GenAI, and agentic solutions
• Champion engineering excellence with secure, reliable, and scalable cloud-native architectures
• Establish CI/CD pipelines, infrastructure as code, and automated testing tailored to AI/ML workflows
• Partner with data science, product, and platform teams to enable rapid, compliant, and production-grade AI deployments
• Drive the technical roadmap, architectural decisions, and incident resolution while fostering a DevOps/MLOps culture of continuous improvement
• Stay current with GenAI trends and innovations to enhance system performance, reliability, and team productivity

Skills, Experience and Requirements
Education and Experience:

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or related degree
• 5+ years of experience in engineering leadership roles, with a strong background in cloud-native development and operations

Skills and Qualifications:

• Hands-on experience with at least one major cloud platform (AWS preferred, or Azure, or GCP) and managing containerized systems (Kubernetes, Docker)
• Knowledge of the AI/ML lifecycle and MLOps practices, including deployment, monitoring, and scaling in regulated or mission-critical environments
• Experience with GenAI technologies-LLMs, vector search, inference optimization-and related tools (e.g., MLflow, Kubeflow, Vertex AI, SageMaker)
• Strong coding proficiency in Python, Java, or Go, with DevSecOps and infrastructure-as-code practices (Terraform, Pulumi)
• Experience with Databricks is preferred
• Proven ability to lead Agile teams, driving technical delivery and cross-functional collaboration
• Excellent communication skills with a track record of translating technical solutions into business impact

Visa sponsorship not available for this role
Salary Ranges
Compensation: $110,100.00/Year - $157,300.00/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: DISH 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 )