Staff Software Development Engineer

Key responsibilities

• Own end-to-end architecture and delivery of VoD backend systems — from content ingest, transcoding, and ABR packaging to metadata management and delivery orchestration.
• Design highly scalable, fault-tolerant distributed systems for video processing, ensuring high availability and low-latency content delivery at global scale.
• Lead the design and evolution of video processing pipelines including codec selection, container formats (MP4, fMP4), ABR ladder optimization, and DRM/encryption workflows.
• Define and implement APIs and microservices that integrate the VoD platform with internal services such as CMS, CDN, entitlements, and analytics systems.
• Drive technical strategy and roadmap for the VoD engineering domain, partnering with product and content operations to align engineering investments with business goals.
• Establish engineering best practices including system design reviews, code quality standards, observability patterns, and SLA/SLO frameworks for production systems.
• Collaborate with cross-functional teams (streaming, playback, data engineering, DevOps) to deliver seamless end-to-end user experiences.
• Identify and drive performance improvements — optimizing throughput, reducing processing costs, and improving time-to-publish for new content.
• Mentor and grow senior and mid-level engineers; lead design discussions, architecture reviews, and knowledge-sharing initiatives across the team.
• Champion reliability engineering: drive incident response, post-mortem culture, and system resilience improvements across the VoD stack.

Skills and attributes for success:

• 7+ years of professional backend software engineering experience, with at least 3+ years in large-scale distributed systems or media/streaming platform roles.
• Expert-level proficiency in Go, Python, or Java with a strong command of software engineering fundamentals, design patterns, and performance optimization.
• Understanding of video processing technologies: codecs (H.264, H.265/HEVC, AV1), container formats (MP4, fMP4, CMAF), and adaptive bitrate streaming protocols (HLS, MPEG-DASH).
• Strong proficiency in distributed systems design — message queues (Kafka, SQS), workflow orchestration (Airflow, Step Functions), and event-driven architectures.
• Experience with cloud infrastructure (AWS, or GCP) and containerized deployments using Kubernetes and Docker in production environments.
• Proficiency with observability and monitoring tooling (Prometheus, Grafana, ELK stack, Datadog) and experience building production-grade reliability practices.
• Excellent problem-solving skills and ability to take ownership of complex technical challenges
• Strong communication skills and ability to collaborate across technical and non-technical teams

Preferred education and experience:

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