Senior AI Platform Engineer
Role details
Job location
Tech stack
Job description
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 building the next generation of AI-enabled capabilities to connect consumers with the products and platforms of tomorrow. We are currently tackling the challenge of scaling complex AI subsystems, such as Vector Search and Agent Orchestration, from experimental concepts into resilient production environments. As a Staff Engineer, you will solve these engineering hurdles by architecting serverless, event-driven infrastructures that bridge the gap between advanced models and seamless developer workflows.
What Success Looks Like (Objectives)
- Production-ready ownership of the full lifecycle for critical platform domains, ensuring high-quality, tested, and documented delivery.
- Scalable architecture of serverless workflows and event-driven systems that support complex, asynchronous AI agent tasks.
- Technical leadership of engineering squads by translating high-level department OKRs into executable tasks and successful sprint completions.
- Reliable system performance through the implementation of robust monitoring focused on AI-specific metrics like model quality and relevance.
- Enhanced "Developer Experience" achieved through iterative platform improvements based on direct collaboration with application engineers.
- Accelerated development cycles and improved code quality through the strategic leverage of AI coding assistants and automation.
Requirements
- Expertise in architecting scalable backend systems and high-performance APIs utilizing Python.
- Deep proficiency in Vector Databases and the implementation of semantic search technologies.
- Strong skills in Infrastructure as Code (Terraform) and the management of complex AWS cloud services.
- Critical experiences leading technical squads and mentoring engineers through the delivery of high-stakes backend infrastructure.
- Professional collaboration and communication skills centered on a "winning together" team mindset.
- AI Innovation through the mastery and application of AI coding assistants to optimize engineering velocity.
Additional Qualifications
- Master's degree in Computer Science, Software Engineering, or a related technical field., * Minimum Education: Bachelor's Degree in Computer Science, Software Engineering, Information Systems, or related technical field.
- Minimum Experience: 7 years of experience in software engineering with a focus on backend systems.
- Required Technical Skills: Must have at least 5 years of experience with:
- Python and API development
- Vector Databases and semantic search
- Infrastructure as Code (Terraform)
- AWS Cloud Services (specifically Lambda and event-driven architecture)
Benefits & conditions
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.