21 hours ago
Base Salary
$184k - $233k/yr
Responsibilities
- Design, build, and scale production-grade AI agents, multi-agent workflows, and agentic platform capabilities for SRE and infrastructure operations.
- Contribute to architectural reviews, design specifications, RFCs, and technical trade-off discussions for agentic interfaces, MCP integrations, and observability pipelines.
- Develop AI- and ML-powered anomaly detection, root-cause analysis, and proactive incident remediation workflows.
- Integrate telemetry frameworks, distributed monitoring systems, APIs, and cloud or on-premises environments for real-time AI context gathering.
- Implement automated testing, evaluation harnesses, human-in-the-loop approval gates, and deployment pipelines for safe and reliable agent behavior.
- Collaborate with principal engineers, software engineers, data scientists, and operations teams while mentoring team members on AI engineering practices.
- Measure operational outcomes including critical metric improvements, MTTR reduction, and automation efficiency.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field with 10+ years of relevant software engineering experience, or a master’s degree with 8+ years, or a PhD with 5+ years.
- 8+ years of experience building, testing, and deploying backend software, operational tooling, or platform services in large-scale distributed environments.
- A track record of authoring at least three major design proposals or RFCs and leading system design reviews.
- 5+ years of deep proficiency in Python, Go, Java, or Rust, including concurrency, data structures, and API development.
- 2+ years of practical LLM development experience, including prompt engineering, tool or function calling, or moving AI agents from prototype to production.
- Preferred experience with agent orchestration, semantic search, retrieval-augmented generation, MCP, and function schemas.
- Preferred experience with distributed telemetry, data pipelines, OpenTelemetry, Prometheus, Kafka or Pulsar, Elasticsearch, and vector databases.
- Preferred exposure to SRE practices, Kubernetes and container environments, runbook orchestration, evaluation benchmarks, structured output validation, and security guardrails for production AI systems.
Benefits
- Medical, dental, and vision insurance, a 401(k) plan with Cisco matching contributions, paid parental leave, disability coverage, and basic life insurance, subject to eligibility.
- Eligibility for Cisco restricted stock unit grants and annual bonuses for non-sales roles, subject to company policies.
- Paid holidays, a floating holiday for eligible non-exempt employees, birthday leave, year-end shutdown, personal wellness days, vacation or flexible time off, and sick time.
- Up to 10 paid volunteer days per year and additional paid time away for critical or emergency family issues.
- The application window is expected to close on December 30, 2026.
Tech Stack
Categories
About Cisco
Cisco designs and sells networking, security, and collaboration platforms for enterprises, service providers, and governments, spanning routers and switches, Wi‑Fi, firewalls, zero‑trust, observability, and cloud-managed IT (Meraki) plus Webex. Its business model mixes hardware, software subscriptions, and support/consulting services. Founded in 1984 and headquartered in San Jose, California, Cisco is a public company traded on Nasdaq and serves customers across data centers, campuses, and service provider networks.