About the Role

EchoStar is seeking a Senior AI Platform and Reliability Engineer to design and deploy self-healing infrastructure and AI orchestration workflows. The role bridges the gap between machine learning and production-grade software, focusing on LLMs, RAG pipelines, and deep observability to ensure stability in high-traffic cloud environments. Based in Denver, CO.

Responsibilities

Architect and deploy self-healing infrastructure with predictive intelligence and autonomous remediation
Design high-scale AI orchestration workflows and RAG pipelines
Automate resolution of Tier-1 and Tier-2 incidents using Runbooks-as-Code
Lead fine-tuning and evaluation of open-source models
Establish AI engineering best practices through code reviews and mentorship
Implement full-stack observability across customer order journey

Requirements

Bachelor's degree in CS or related field (or 5+ years equivalent experience)
5+ years backend or full-stack development, with 2+ years focused on AI
Expert proficiency in Python and Java
Hands-on expertise with AWS, Serverless, and Kubernetes
Experience with RAG pipelines and vector databases like Milvus
Knowledge of observability platforms (Dynatrace, AWS CloudWatch)
Experience with automation tools (Python, Ansible, Bash)

EchoStar

Englewood · US · 12100+ employees

EchoStar Corporation is a global leader in communications and content delivery, providing satellite, wireless, and internet connectivity solutions. The company operates through subsidiaries including DISH Network, Boost Mobile, Sling TV, EchoStar Mobile, and Hughes Network Systems to offer pay-TV, mobile services, and satellite network solutions to consumer, enterprise, and government customers.