1 day ago
Base Salary
$187k - $268k/yr
Responsibilities
- Architect and deploy AI-assisted developer tools for pull request analysis, CI failure diagnosis, engineering knowledge retrieval, and automated workflow improvement.
- Design and implement load, stress, and scalability testing with Python and Locust for distributed services and AI model endpoints.
- Build safe agent execution frameworks with sandboxing, scoped permissions, confidence thresholds, human approval mechanisms, and handling for uncertain outputs.
- Operate and optimize Kubernetes and containerized cloud workloads, including LLM inference latency, throughput, token generation, and resource utilization.
- Correlate telemetry from Datadog, Grafana, Splunk, and OpenTelemetry to identify bottlenecks and provide architectural recommendations.
- Build and ship internal developer productivity platforms and drive measurable improvements in developer velocity, adoption, and cycle times.
- Integrate developer tools with Git-based source control, pull requests, automated testing, and engineering delivery workflows.
- Define productivity metrics and implement automated performance regression detection, baseline comparisons, and feedback in pull requests and delivery workflows.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related STEM field with 10+ years of relevant software engineering experience, or a master’s degree with 7+ years, or a Ph.D. with 4+ years building distributed platforms.
- 5+ years of Python software development experience building and deploying production internal engineering platforms, automation frameworks, or developer productivity tools.
- Experience implementing LLM APIs, AI coding assistants, or autonomous agent workflows in engineering delivery pipelines.
- Experience with performance engineering, load testing, and workload modeling for distributed systems using Locust or an equivalent framework.
- Experience with Kubernetes, containerized cloud environments, observability platforms, and distributed tracing.
- Experience integrating developer tools and automation workflows with Git-based source control, APIs, and automated testing frameworks.
- Experience using AI coding assistants and LLM-powered development tools while ensuring generated-code correctness, maintainability, and security.
- Preferred experience with multi-agent orchestration, tool calling, Model Context Protocol, vector-based engineering knowledge retrieval, and internal tooling adoption.
- Preferred experience defining developer productivity metrics and benchmarking LLM inference endpoints across AWS, GCP, or Azure.
- Preferred familiarity with Playwright, Lighthouse, and OpenTelemetry distributed tracing standards.
- Preferred experience designing AI-agent workflows for accuracy, reliability, cost, latency, and safe execution, including tool-use guardrails and human approvals.
- Strong cross-functional leadership, mentorship, communication, and ability to translate telemetry into engineering roadmaps.
Benefits
- Hybrid role based out of Cisco’s San Jose office.
- Starting salary range of $186,900.00 to $267,700.00, excluding incentive compensation, equity, and benefits.
- Medical, dental, and vision insurance; 401(k) with Cisco matching contribution; paid parental leave; disability coverage; and basic life insurance.
- Potential eligibility for Cisco restricted stock units and annual bonuses for non-sales roles.
- Paid holidays, floating holiday, birthday leave, year-end shutdown, wellness days, vacation or flexible time off, sick time, family emergency leave, and optional paid volunteer days.
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.