Senior Real-Time Streaming Engineer (Go) - 25% Travel

Orbis

McLean (VA)

Hybrid

USD 150,000 - 190,000

Full time

3 days ago
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Job summary

Orbis is seeking a Senior Software Engineer within Catalyst Data Platform to own high-performance data pipelines and end-to-end streaming features. You’ll work across components to optimize real-time data flow from distributed sources into our core platform, with a focus on reliability and scalability.

You’ll collaborate with product and engineering teams, refine requirements, and drive architectural decisions.

Qualifications

  • 5-7 years of experience in real-time data streaming and ownership of product surfaces.
  • Deep knowledge of media session negotiation and transport layer mechanics (jitter, sequencing, multiplexing).
  • Hands-on streaming transport with frame-level audio/video data handling and timestamp reconciliation.
  • Strong Go engineering skills with protocol-level behavior.
  • Excellent communication with customers, product leaders, and engineering teams.

Responsibilities

  • Architect features across the full streaming lifecycle from ingestion to packaging and distribution.
  • Collaborate with product and engineering to refine requirements and trade-offs.
  • Evaluate technical trade-offs for Catalyst production systems with clear architectural rationale.
  • Design high-performance modules for media ingress, relay, and packetization (RTSP, RTP, WebRTC).
  • Mentor junior engineers and lead design reviews and planning sessions.
  • Participate in on-call rotations and incident reviews to improve reliability.
  • Contribute to automated deployment pipelines using GitHub Actions, Docker, and Kubernetes.
  • Travel up to 25% for customer engagement and architecture reviews (Middle East).

Skills

Go programming
Real-time streaming
Distributed systems
Protocol knowledge
Debugging/Observability
Communication

Tools

Datadog
Prometheus
Kubernetes
Docker

Job description

Orbis is seeking a Senior Software Engineer within Catalyst Data Platform to own high-performance data pipelines and end-to-end streaming features. You’ll work across components to optimize real-time data flow from distributed sources into our core platform, with a focus on reliability and scalability.

You’ll collaborate with product and engineering teams, refine requirements, and drive architectural decisions.

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