Job Duties and ResponsibilitiesThe dyna streaming backend team is tasked with solving complex scale, latency, and reliability challenges associated with delivering high-quality video content to millions of active Sling TV customers. This role addresses critical engineering bottlenecks by designing resilient services that package, encrypt, and dynamically generate manifests for adaptive bitrate streams. Engineers in this position focus on mitigating piracy risks through robust digital rights management while simultaneously optimizing ad insertion workflows to maximize monetization without compromising the quality of experience. Ultimately, the position bridges the gap between sophisticated cloud infrastructure and seamless playback across a highly diverse client device ecosystem.
What Success Looks Like (In this job, you will)- Design, build, and maintain robust backend services for dynamic video packaging and manifest generation using HLS and MPEG-DASH protocols to support millions of concurrent viewers
- Implement and operate secure, end-to-end DRM workflows using Widevine, FairPlay, or PlayReady to protect premium content throughout its delivery lifecycle
- Maintain high platform uptime by actively resolving production incidents, leading root cause analyses, and scaling observability tools to identify streaming anomalies before they impact viewers
- Design and deploy high-performance server-side and client-side ad insertion (SSAI) systems that align with department monetization and streaming quality key results (OKRs)
- Leverage AI-driven diagnostic tools and code assistant models to accelerate service refactoring, automate regression test generation, and proactively predict backend performance degradation
Skills, Experience and RequirementsCore Skills and Competencies (What you'll bring)- Strong programming expertise in backend systems languages such as Go, Python, Rust, or C++ to write performant, concurrent, and dry code
- A deep understanding of adaptive bitrate (ABR) streaming concepts, manifest files, video codecs (H.264, HEVC, AV1), and container formats (MP4, TS)
- Critical experience designing, developing, and deploying distributed, fault-tolerant media systems and DRM integrations within large-scale production environments
- Excellent cross-functional collaboration and decision-making skills to coordinate complex integrations with advertising technology and observability teams
- Strong AI literacy and application skills, demonstrating the capability to integrate generative AI tools into development, debugging, and system analysis workflows to boost delivery velocity
- Functional knowledge of modern observability frameworks to interpret metrics, traces, and logs from tools like Grafana, Dynatrace, or NewRelic
Additional Qualifications- Familiarity with cloud-based media services (such as AWS Elemental Media Services) and public cloud infrastructure (AWS, GCP)
Minimum Requirements- Minimum Education: Bachelor's Degree in Computer Science, a related technical field, or equivalent practical experience
- Minimum Experience: 5+ years of experience in backend software development or systems engineering
- Required Technical Skills: Must have at least 5 years of experience with:
- Go, Python, Rust, or C++ backend programming
- Widevine, FairPlay, or PlayReady DRM technology integration
- HLS or MPEG-DASH streaming protocols and manifest files
Visa sponsorship not available for this role
Salary RangesCompensation: $96,250.00/Year - $140,000.00/Year
BenefitsWe 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.
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.
