We are looking for a Senior Live Streaming Software Engineer.
As a Senior Software Engineer in our Edge AI group, you will design, develop, and maintain media encoding pipelines and live streaming workflows for both cloud and on-premises environments.
You will build infrastructure, tools, and real-time monitoring systems that ensure reliable live video delivery and operational visibility.
Your work will involve writing code that integrates with Azure resources and extensions, leveraging modern technology stacks and methodologies.
You will be expected to break down complex problems, create clear execution plans, and take full ownership of your code from development through production. Collaboration within a multi-disciplinary team will be key, requiring strong communication skills and alignment with values.
In addition, you will automate quality control and alerting mechanisms to rapidly detect and resolve streaming issues, ensuring a seamless experience for customers streaming camera feeds and viewing live video alongside AI-driven insights.
Requirements: 5+ years of experience with SW development using C#, Java, Python or similar language.
Practical experience with AI-based or agentic development tools (e.g., GitHub CopilotAgent, Cursor, Claude Code, Cline).
Highly Familiar with distribution formats such as MPEG-TS, HLS, MPEG-DASH, and CMAF, including segmenting and packaging for live and on-demand delivery.
Solid understanding of end-to-end streaming systems design: ingest (e.g., RTSP), processing/analytics pipelines, packaging/origin, CDN delivery, player behavior, and operational observability (metrics, logging, alerting)
Other-
B.Sc. in Computer Science or equivalent
Ability to automate quality control and alerting for streaming workflows to detect and resolve streaming issues rapidly.
Familiarity with video transport protocols such as RTSP, RTP, RTMP, SRT and related streaming technologies.
WebRTC experience for interactive streaming scenarios.
Proven experience with real-time or streaming data processing (e.g. Kafka or similar).
Proven ability to lead complex tasks in unfamiliar domains and deliver them to production.
Experience developing and operating code in cloud environments (Azure / AWS / GCP).
Experience with Docker, Kubernetes, and modern CI/CD practices.
Team player with proven communication skills
A proactive, ownership-driven approach with the ability to lead complex projects end-to-end.
Proven problem-solving and coding skills with a passion for elegant architecture.
Demonstrated ability to think creatively and being resilient to change
Hands-on experience with DeepStream (by NVIDIA) for building and operating real-time video analytics and streaming pipelines
This position is open to all candidates.