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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering Tech Lead (SRE + AI) - **Company:** Cisco Systems Inc - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Software as a Service, Cloud Computing, Decision Support Systems, Elasticsearch, Github, Python (Programming Language), PostgreSQL, Redis, Site Reliability Engineering Practices, Prometheus, Software Engineering, Data Streaming, Google Cloud, Large Language Models, Grafana, Multi-Agent Systems, Mttr, Build Management, Kubernetes, Information Technology, Apache Kafka, Data Management, Terraform, Splunk, Dynatrace, Cisco, Docker, Jenkins, Golang, Microservices - **Published:** September 5, 2026 - **Apply:** https://dejobs.org/x/x/A61DECCC949645399DE38E14BBFD9D12/job/ ## About the Role * 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. * Proven record as a Technical Lead or Lead SRE/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 RCA., * AI & Agentic Systems: Hands-on experience building LLM pipelines, AI Agents, Model Context Protocol (MCP) servers/clients, RAG architectures, and evaluation frameworks. * Observability & Telemetry: Experience with OpenTelemetry (OTel), Prometheus, Grafana, Splunk, ThousandEyes, or distributed tracing systems. * Cloud & Infrastructure: Expertise in public cloud providers (AWS, GCP, Azure), Terraform/IaC, and GitOps/CI/CD pipelines (Jenkins, GitHub Actions). * Safe Automation & Guardrails: Experience implementing responsible AI guardrails, deterministic fallback logic, and policy-driven remediation engines. * Data & Messaging: Experience with streaming and data platforms (Kafka, Redis, PostgreSQL, Elasticsearch/Vector DBs). ## Description As a Technical Leader, you will drive the architectural vision and implementation of our next-generation AI-powered Production Intelligence platform. You will combine Site Reliability Engineering practices with modern agentic AI (reusable Skills, Model Context Protocol (MCP), and LLM tooling) to transform how engineering and leadership teams monitor, diagnose, and auto-remediate global SaaS infrastructure. What you'll do * Technical Leadership & Architecture: Define the technical roadmap and architecture for AI-assisted observability, automated incident response, and self-healing cloud infrastructure. * Agentic Workflows & Tooling: Design and build production-grade AI agents, MCP tool integrations, and deterministic evaluation pipelines for automated operational decision support. * Telemetry & Insights: Architect 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 & Collaboration: Mentor senior and mid-level engineers, establish engineering best practices, and drive alignment across global development and operations teams. * You'll manage priorities and deadlines, communicate progress clearly and work across teams to turn production needs into reliable software and AI-assisted capabilities. ## Related Videos - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [SRE Methods In an Agency Environment](https://www.wearedevelopers.com/videos/348-sre-methods-in-an-agency-environment) - [What Developers Get Wrong About Application Quality](https://www.wearedevelopers.com/videos/233-what-developers-get-wrong-about-application-quality) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Computer Vision from the Edge to the Cloud done easy](https://www.wearedevelopers.com/videos/263-computer-vision-from-the-edge-to-the-cloud-done-easy) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [How Much Does a Software Engineer Make? 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