Senior AI Software Engineer
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Sep 28, 2026.
What Success Looks Like (Objectives):
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
Core Skills, Competencies, and Key Experiences (What you’ll bring)
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
Salary Range
Compensation: $96,250.00/Year - $158,125.00/Year
About Our Department
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.
About Our Company
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.
Benefits
We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary 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.
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.
This job posting will be active for a minimum of 3 days and 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. If you have questions regarding your application or the recruitment process please email [email protected].
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English /Spanish)
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
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