Senior AI Software Engineer

EchoStar Corporation; Littleton (CO); On-site; USD 96,000 - 150,000; Full time

Benefits offered by this job

Health perks

401(k) Plan with company match

ESPP

Career opportunities

Flexible time away plan

Job summary

EchoStar Corporation is seeking a Senior Engineer for the Generative AI Engineering team in Littleton, CO. You will architect resilient pipelines, optimize containerized workloads for ML, and drive infrastructure as code to accelerate AI product delivery.

The role emphasizes ownership of code quality, performance metrics, and production health, with collaboration across QA and Product teams in a fast-paced environment.

Qualifications

• Bachelor’s degree in Computer Science, Engineering or related field is required.
• 4+ years of experience in DevOps, Cloud Engineering, or Software Development.
• 3+ years of experience with Python scripting and automation; strong AWS skills.

Responsibilities

• Develop and maintain Python-based automation and orchestration scripts for AI workflows.
• Implement scalable serverless architectures using AWS Lambda and manage containerized workloads on EKS.
• Maintain platform availability and reduce MTTR through proactive automation and monitoring.

Skills

Python development

AWS cloud infrastructure

API-first integration

Terraform

AI literacy

Mentoring engineers

Communication

Education

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

Tools

AWS Lambda

AWS EKS

AWS S3

Terraform

Job description

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 [e-mail] 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)