Overview:
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.
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 Staff Software Engineer to lead specific domains within our AI Enablement initiative. You will take ownership of critical subsystems-such as our Vector Search capabilities or our Agent Orchestration Framework-and drive them from concept to production. This role combines high-level design with hands-on coding, requiring you to be a "force multiplier" for the team. You will utilize tools like Databricks and AWS Lambda to build resilient, scalable infrastructure that empowers our developers to innovate faster.
Key Responsibilities:
* Own the full lifecycle of a major platform domain, ensuring high-quality, tested, and documented code delivery
* Design and implement serverless workflows and event-driven architectures to support asynchronous AI agent tasks
* Serve as the technical lead for a small squad of engineers, breaking down complex epics into executable tasks and ensuring sprint goals are met
* Implement robust monitoring and alerting for your domain, focusing on AI-specific metrics like model quality and relevance
* Collaborate with application engineers to understand their pain points and iterate on platform features to improve the "Developer Experience"
Qualifications:
Education and Experience:
* Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related technical field
* Master's degree preferred
* 7+ years of software engineering experience with a strong focus on backend systems
Skills and Qualifications:
* Proficiency in Python and experience building APIs
* Hands-on experience with Vector Databases and semantic search technologies
* Strong experience with Infrastructure as Code (Terraform) and AWS cloud services
* Commitment to "Docs as Code" and maintaining high-quality developer documentation
* Experience with AI coding assistants (e.g., Claude Code, Amazon Q) to accelerate development
* Strong ability to mentor Senior and mid-level engineers
* Collaborative mindset with a focus on "winning" together as a team
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