# Software Engineer - (Media SRE) at Cisco

AI Level 3, AI centrality 75 out of 100. Remote (Stockholm, Sweden).

## Details

- Company: [Cisco](https://jobsbylevel.com/companies/cisco)
- AI level: AI Level 3 (score 75 out of 100)
- Location: Remote (Stockholm, Sweden)
- Posted: September 30, 2026
- Apply: https://jobsbylevel.com/go/e69ca7ce-929c-4538-a269-8de8f27c7d98

## Description

Meet the Team The Collaboration Technology Group is redefining the future of teamwork, building services that connect people effortlessly across devices, locations and time zones. Our team in Stockholm builds, runs, and continuously improves the core media platform services behind Cisco’s collaboration products, operating at global scale across numerous datacentres. We’re a passionate, collaborative team focused on real-time media reliability, innovation, and engineering excellence. Your Impact As a Software Engineer in our Stockholm Webex Media (WxMedia) & SRE organization, you will bring new real-time media features to life and drive resolution for high-impact media platform escalations. You will combine Site Reliability Engineering practices with real-time media streaming architectures and modern agentic AI (reusable Skills, Model Context Protocol (MCP), and LLM tooling) to transform how we monitor, diagnose, and auto-remediate global media services handling billions of audio and video minutes. What You'll Do Media Escalations & Real-Time Reliability: Lead deep-dive troubleshooting for complex WxMedia platform issues, investigating packet loss, jitter, latency, audio/video degradation, and SIP/WebRTC signaling failures across hybrid cloud and bare-metal environments. Real-Time Media Delivery: Bring new real-time media features to life based on product requirements, ensuring high performance, scalability, and seamless global routing. Technical Design & Architecture: Design and implement high-resilience software systems for AI-assisted observability, automated incident response, and self-healing cloud media infrastructure. Agentic Workflows & Tooling: Design, build, and maintain production-grade AI agents, MCP tool integrations, and deterministic evaluation pipelines for automated operational decision support. Telemetry & Insights: Implement ingestion and correlation pipelines across distributed logs, metrics, OpenTelemetry traces, change events, and runbooks to accelerate Mean Time to Detection (MTTD) and Resolution (MTTR). Safe Production Automation: Develop proactive anomaly detection and Human-in-the-Loop (HITL) remediation workflows with meticulous safety, security, and quality guardrails. Reliability & Scalability Engineering: Partner with application and infrastructure teams to define SLIs/SLOs, handle error budgets, and lead investigation post-incident reviews (PIRs). Mentorship & Collaboration: Mentor mid-level and junior engineers, conduct thorough code reviews, establish engineering standards, and drive operational excellence across global development and operations teams. Cross-Team Delivery: Manage priorities and timelines, communicate progress clearly, and work across teams to turn production needs into reliable software and AI-assisted capabilities. Minimum Qualifications Bachelor’s degree + 8years of related experience, Master’s + 6 years, or PhD + 3 years in Computer Science, Software Engineering, or a related technical field. Consistent record as a Senior / Lead SRE or Software Engineer delivering distributed, high-availability SaaS or media platforms at scale. Experience with media streaming and relevant protocols for real-time applications (e.g., RTP/RTCP, SRTP, WebRTC, SIP, SDP, RTSP, or HLS/DASH). Strong proficiency in Python, Go, C++, or Java with experience designing microservices, APIs, and production automation. Deep experience with Kubernetes, Docker, and container orchestration in large-scale multi-cluster environments. Experience in SRE practices: SLI/SLO design, observability platforms (metrics/logs/traces), incident management, and automated root cause analysis (RCA). Preferred Qualifications Experience with public cloud platforms (AWS, Microsoft Azure, or Google Cloud). Experience with close-to-real-time systems and performance-sensitive code paths. Comfort with incremental development, testing, and A/B testing in production. Steers AI effectively via context and prompt design. Experience

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Source: https://jobsbylevel.com/jobs/software-engineer-media-sre-at-cisco-d82946

## Cite this page

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