Software Engineer

The Collaboration Technology Group is redefining the future of teamwork, building services that connect people effortlessly across devices, locations and time zones.

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 to transform how we monitor, diagnose, and auto-remediate global media services handling billions of audio and video minutes.

Responsibilities:

• Media Escalations & Real-Time Reliability: Deep-dive troubleshooting for complex WxMedia platform issues, investigating packet loss, jitter, latency, audio/video degradation, and SIP/WebRTC signalling failures across hybrid cloud and bare-metal environments.
• 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 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 + 6 years of related experience, Master’s + 5 years, or PhD + 3 years in Computer Science, Software Engineering, or a related technical field.
• Experience with media streaming or relevant protocols for real-time applications (e.g., RTP/RTCP, SRTP, WebRTC, SIP, SDP, RTSP, or HLS/DASH).
• Experience in some of SRE practices (e.g. 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 building LLM pipelines, AI Agents, Model Context Protocol (MCP) servers/clients, RAG architectures, and evaluation frameworks.
• Experience with OpenTelemetry (OTel), Prometheus, Grafana, Splunk, ThousandEyes, or distributed tracing systems.
• Expertise in Terraform/IaC and GitOps/CI/CD pipelines (Jenkins, GitHub Actions, Harness).
• Experience implementing responsible AI guardrails, deterministic fallback logic, and policy-driven remediation engines.
• Experience with streaming and data platforms (Kafka, Redis, PostgreSQL, Elasticsearch/Vector DBs).