Staff Engineer - Streaming Application Development
US-CO-Englewood
Attract-careers1
Req #: 96142
Type: Fulltime-Regular
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Overview: Our DISH Technology team challenges the status quo and reimagines capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play vital roles in connecting consumers with the products and platforms of tomorrow. Responsibilities: DISH is seeking a Staff Engineer to provide technical leadership for a business-critical streaming middleware platform currently built on Ruby on Rails and undergoing a strategic re-architecture to Golang-based services. This hands-on role will lead the Golang re-architecture to improve scalability, performance, resiliency, and maintainability, while shaping platform-level technical direction. The Staff Engineer will mentor engineers through code reviews, pair programming, and architectural discussions, communicate design decisions clearly to both technical and executive stakeholders, and deliver high-quality, production-ready solutions in close collaboration with cross-functional teams. The ideal candidate brings 5+ years of hands-on API development experience, a strong commitment to code quality and engineering excellence, and practical experience re-architecting or modernizing backend services. You stay current with industry trends, thoughtfully adopt new tools and best practices, and thrive in a collaborative, high-ownership engineering culture. If you are excited to drive innovation in streaming technology while helping grow engineering talent, we encourage you to apply. Key Responsibilities * Own and evolve a high-traffic, API-only platform that powers large-scale streaming client applications and processes high-volume, heterogeneous data streams * Lead the re-architecture from Ruby on Rails to Golang, defining service boundaries, APIs, data contracts, and migration strategy * Design and implement performance-critical backend services in Go, emphasizing scalability, resiliency, observability, and operational excellence * Translate complex ingestion and integration requirements into clean, maintainable, and well-documented services * Collaborate closely with product, architecture, SRE, and executive stakeholders to align on technical direction and delivery milestones * Champion engineering best practices, documentation, and knowledge sharing across the organization Qualifications: Qualifications & Experience * Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience * 5+ years of professional backend/API development experience, with ownership of production systems * Strong proficiency in Golang, or deep expertise in Java with a demonstrated ability to ramp quickly into Golang and Ruby * Experience building and operating REST and/or gRPC APIs at scale * Strong understanding of concurrency, memory management, and performance optimization * Experience modernizing or re-architecting legacy or monolithic systems into scalable, maintainable architectures * Hands-on experience with NoSQL data stores (e.g., MongoDB, Elasticsearch, AWS Keyspaces, DynamoDB) * Experience with in-memory caching systems (e.g., Redis, Memcached) * Proven experience delivering cloud-native systems on AWS or equivalent platforms * Experience working with event-driven or streaming platforms (Kafka, Confluent, etc.) Nice-to-Have Skills * Hands-on experience migrating production systems across primary backend programming language transitions * Deep experience designing distributed systems and service-oriented architectures on AWS * Familiarity with observability platforms (Dynatrace, CloudWatch, OpenTelemetry, etc.) * Strong grounding in object-oriented and domain-driven design, applied pragmatically to legacy modernization * Hands-on experience leveraging AI developer tools (e.g., Amazon Q or equivalent) to accelerate development and debugging * Experience integrating LLMs into backend services via REST or gRPC * Experience designing or integrating MCP (Model Context Protocol) servers to securely expose internal APIs, data, and tools to LLM- or agent-based systems Candidates must be willing to participate in at least one in-person on-site interview
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