Applied AI / AWS Engineer II

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.   Software quality assurance automation requires scalable, intelligent tooling to keep pace with modern IT delivery demands. The Applied AI / AWS Engineer II resolves bottlenecks in testing workflows by engineering automated utilities and integrating Generative and Agentic AI into software delivery practices. Operating within the Technology Assurance and Performance team, this role modernizes existing automation capabilities and bridges cloud infrastructure with core QA operations across globally distributed environments.   What Success Looks Like (Objectives): Build scalable AWS cloud utilities using Lambda, API Gateways, and S3 to automate software delivery and performance testing across application environments Design and deploy Generative and Agentic AI tooling within Quality Assurance frameworks to accelerate test coverage and improve fault detection efficiency Construct functional prototypes to validate modern technical concepts and iterate based on cross-functional stakeholder feedback Extend and optimize existing internal software applications to maintain high reliability and support key departmental delivery goals Partner with globally distributed engineering teams to integrate automated testing workflows and meet key organizational targets Skills, Experience and Requirements Core Skills and Competencies (What you'll bring): Software engineering capabilities using Python, Java, or C# to build robust API integrations and interface with SQL and NoSQL databases Knowledge of cloud architecture and serverless implementation on AWS, specifically utilizing AWS Lambda, API Gateways, and S3 AI Application and Literacy skills, including practical experience implementing Generative and Agentic AI frameworks to automate technical tasks Comprehensive working knowledge of modern software delivery infrastructure, including version control (GIT) and CI/CD pipelines (Jenkins, Harness) Strong analytical problem-solving skills and the ability to manage complex tasks independently under tight deadlines Proven cross-functional collaboration skills with clear written and verbal technical communication capabilities across all organizational levels   Additional Qualifications: Master’s degree in Computer Science, Engineering, or a related field   Minimum Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field 3+ years of experience in software engineering Must have at least 3 years of experience with: Programming languages such as Python, Java, or C# AWS cloud services including Lambda, API Gateways, and S3 API development, SQL/NoSQL databases, version control (GIT), and CI/CD tools (Jenkins or Harness)   Visa sponsorship not available for this role   #LI-JZ2   Salary Ranges Compensation: $83,160.00/Year - $118,800.00/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