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)
Deep expertise in 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.
