Build and scale AI infrastructure through Python automation, AWS serverless architectures, EKS containerized workloads, Terraform infrastructure as code, and monitoring. Develop orchestration pipelines for model training and inference, manage large datasets and production availability, reduce recovery times, collaborate with QA and Product, and mentor engineers while maintaining code quality and operational performance. The summary above was generated by AI 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. The Generative AI Engineering team is seeking a Senior Engineer to drive the automation and scaling of core AI infrastructure. This role focuses on architecting resilient pipelines to handle large-scale datasets and optimizing containerized workloads for machine learning models. The ideal candidate will eliminate operational bottlenecks by implementing infrastructure as code and driving the seamless deployment of serverless architectures. By bridging the gap between infrastructure efficiency and AI model orchestration, this position accelerates the delivery of high-impact AI products across the organization. What Success Looks Like (Objectives): Develop and maintain Python-based automation and orchestration scripts for AI workflows to streamline model training and inference cycles Implement highly scalable serverless architectures using AWS Lambda and manage containerized workloads on EKS to support dynamic AI applications Maintain platform availability and actively contribute to reducing Mean Time to Restore (MTTR) through proactive automation and monitoring solutions Collaborate closely with QA and Product teams to ensure infrastructure and deployed features meet strict quality and functional requirements Demonstrate extreme ownership of code quality, performance metrics, and the overall operational health of production environments Skills, Experience and Requirements Core Skills and Competencies (What you'll bring): Strong proficiency in Python development alongside critical experience building and scaling AWS cloud infrastructure and API-first integration patterns Critical experience managing object storage solutions for massive datasets and machine learning models Solid understanding of Git, CI/CD pipelines, and modern DevOps practices combined with Infrastructure as Code implementation using Terraform AI literacy and application skills, specifically including experience using modern AI coding tools like Claude Code or Amazon Q to accelerate development Ability to work independently with minimal supervision while proactively solving complex problems and mentoring junior or mid-level engineers Clear communication of technical concepts and strong collaboration skills within a fast-paced, cross-functional team environment

Minimum Requirements:

Minimum Education:

Bachelor's Degree in Computer Science, Engineering, or a related technical field

Minimum Experience:

4 years of experience in

DevOps, Cloud Engineering, or Software Development Required Technical Skills:

Must have at least 3 years of experience with: Python scripting and automation AWS cloud infrastructure (Lambda, EKS, and S3) Terraform for Infrastructure as Code Visa sponsorship not available for this role

Salary Ranges Compensation:

$96,250.00/Year

• $150,000.

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) Read Full Description HQ EchoStar Englewood, Colorado, USA Office EchoStar Corporate Headquarters

• Meridian Office View Gallery Close 9601 S Meridian Boulevard, Englewood, CO, United States, 80112 EchoStar Centennial, Colorado, USA Office Centennial, United States EchoStar Denver, Colorado, USA Office EchoStar Downtown Denver Office
• DGC Office View Gallery Close 1615 17th St., Denver, CO, United States, 80202 EchoStar Littleton, Colorado, USA Office EchoStar Wireless Headquarters
• Riverfront Office View Gallery Close 5701 S Santa Fe Dr., Littleton, CO, United States, 80120 Similar Jobs at EchoStar EchoStar Senior Automation Engineer 19 Seconds Ago In-Office Littleton, CO, USA 96K-138K Annually Senior level 96K-138K Annually Senior level Aerospace
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Ai Automation Artifactory Automated Deployment Continuous Integration DevOps Git It Service Management (Itsm) Jenkins Servicenow Software Configuration Management Svn System Security Team Foundation Server EchoStar Automation Engineer An Hour Ago In-Office Englewood, CO, USA 96K-138K Annually Senior level 96K-138K Annually Senior level Aerospace

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Api Integrations Archer Fair Framework Generative Ai Hipaa Iso 27001 JIRA Langsmith Llms Nist Csf Power BI Predictive Modeling Python Rag Ragas Servicenow Smartsheet Soc 2 Streamlit Tableau Trulens Vector Databases What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech Number of Tech Workers:

260,000; 8.5% of overall workforce (2024 CompTIA survey)

Major Tech Employers:

Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3

Key Industries:

Software , artificial intelligence , aerospace , e-commerce , fintech , healthtech

Funding Landscape:

$4.9 billion in VC funding in 2024 (Pitchbook)

Notable Investors:

Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures Research Centers and Universities:

Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute