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# Machine Learning Engineering Technical Leader

- **Company:** Cisco Systems, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $256,900.0 - $333,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software System Penetration Testing, Cloud Computing, Code Generation, Computer Engineering, Relational Databases, Distributed Systems, Protocol Buffers, Identity and Access Management, Python (Programming Language), PostgreSQL, Machine Learning, OAuth, OpenID, Systems Development Life Cycle, Software Engineering, Data Streaming, Systems Integration, WebSocket, Qdrant, ReactJS, Large Language Models, Backend, Agentic-AI, Kubernetes, Information Technology, Weaviate, Apache Kafka, Milvus, Api Gateway, Model Context Protocol, Dynatrace, Microservices
- **Published:** October 21, 2026
- **Apply:** https://diversityjobs.com/career/18692804/Machine-Learning-Engineering-Technical-Leader-California-San-Jose

## About the Role

* Education & Experience: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical discipline + 12+ years of professional software engineering experience; OR Master's degree with 10+ years; OR PhD with 7+ years; OR an equivalent combination of education and verified industry software engineering experience.
 * Distributed Systems Engineering: Minimum of 8 years designing, building, and operating high-concurrency, distributed backend microservices in production, with demonstrable proficiency in both Go and Python.
 * Identity & Security: Minimum of 4 years designing and implementing enterprise authentication and authorization systems (e.g., OAuth 2.0 / OIDC, JWT, RFC 8693 token exchange, mTLS).
 * AI Software Development Lifecycle (AI-SDLC): Experience leveraging code gen tools and agents for software development.
 * AI & Agentic Systems: Demonstrated experience building or integrating LLM orchestration frameworks, agentic runtimes (e.g., ReAct), tool-calling interfaces, or Model Context Protocol (MCP) servers.
 * Cloud Infrastructure: Hands-on experience deploying and operating services on Kubernetes with automated secret management and distributed tracing (OpenTelemetry/APM)., * Experience designing API gateways, gRPC/protobuf service definitions, and shared client libraries across large monorepos.
 * Experience with distributed workflow engines (e.g., Temporal) and real-time event streaming (SSE, WebSockets, Kafka).
 * Experience with feature flag lifecycle management and targeting using tools like LaunchDarkly.
 * Experience leading remediation programs in collaboration with internal offensive security or red-team penetration testing groups.
 * Experience integrating vector databases (e.g., Weaviate, Milvus, Qdrant) and relational databases (PostgreSQL/pgx) at scale.