# Software Engineer

**Company**: Cisco
**Location**: London
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/London-United-Kingdom/Software-Engineer_2026422?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_633f8c11-146

## Description

The Collaboration Technology Group at Cisco is seeking a Software Engineer to design, build, and deploy the core capabilities of their next-generation AI-powered Production Intelligence platform.

You will combine Site Reliability Engineering practices with modern agentic AI to transform how engineering and leadership teams monitor, diagnose, and auto-remediate global SaaS infrastructure.

Responsibilities:

- Technical Design & Architecture: Design and implement high-resilience software systems for AI-assisted observability, automated incident response, and self-healing cloud 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 rigorous safety, security, and quality guardrails.

- Reliability & Scalability Engineering: Partner with application and infrastructure teams to define SLIs/SLOs, handle error budgets, and lead deep-dive post-incident reviews (PIRs).

- Mentorship & Best Practices: Mentor mid-level and junior engineers, conduct thorough code reviews, establish engineering guidelines, and drive operational excellence across global development and operations teams.

- Cross-Team Delivery: Manage priorities and deadlines, communicate progress clearly, and work across teams to turn production needs into reliable software and AI-assisted capabilities.

Minimum Qualifications:

- Bachelor’s degree + 8 years of related experience, Master’s + 6 years, or PhD + 3 years in Computer Science, Software Engineering, or a related technical field.

- Experience as a Senior / Lead SRE or Software Engineer delivering distributed, high-availability SaaS platforms at scale.

- Strong proficiency in Python, Go, Java, or C++ with experience designing microservices, APIs, and production automation.

- Deep experience with Kubernetes, Docker, and container orchestration in large-scale multi-cluster environments.

- Proven background in SRE practices: SLI/SLO design, observability platforms (metrics/logs/traces), incident management, and automated root cause analysis (RCA).

Preferred Qualifications:

- 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 public cloud providers (AWS, GCP, Azure), 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).

## Skills

### Required
- Python
- Go
- Java
- C++
- Kubernetes
- Docker
- SRE practices

### Nice to have
- LLM pipelines
- AI Agents
- Model Context Protocol (MCP)
- OpenTelemetry
- Prometheus
- Grafana
- Splunk
- ThousandEyes
- Terraform/IaC
- GitOps/CI/CD pipelines

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Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/London-United-Kingdom/Software-Engineer_2026422?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)