Software Engineer | Distributed System + Fullstack (Python,Go, Java) + AI - 7+ years

Overview

Senior / Tech Lead Software Engineer in Cisco Enterprise AI Platforms & Infrastructure (EAIPI), driving end-to-end engineering of agentic AI platforms, foundation infrastructure and developer ecosystems, including MyAgent and the Circuit Enterprise AI platform.

What you'll do

• Apply advanced technical experience and deep systems understanding to solve technical problems and elevate product capabilities.
• Work with high autonomy and minimal guidance, deciding on optimal architectural patterns, technical designs and implementation approaches.
• Drive initiatives end-to-end by scoping requirements, delegating tasks, conducting technical reviews and delivering results on schedule.
• Lead medium-to-large feature delivery from architectural design through testing, deployment and post-launch optimization.
• Write clean, high-performance, modular code along with comprehensive test suites.
• Conduct deep code reviews to identify immediate bugs and broader architectural risks.
• Test, profile and optimize code for scalability, execution velocity, token throughput and runtime reliability across distributed systems.
• Contribute to threat modeling, secure architecture design and data privacy safeguards across platform features.
• Monitor production health, serve as a customer concern point for on-call issues, lead blameless postmortems and author Root Cause Analysis (RCA) reports.
• Serve as a recognized Subject Matter Expert (SME) across multiple core functional components and AI platform subsystems.
• Build multi-functional partnerships across Product Management, Design, SRE and Security to identify customer value.
• Track product adoption, performance metrics and competitive landscapes, integrating market insights into technical feature designs.
• Coordinate across engineering teams to provide estimations, achievement tracking and proactive risk remediation plans.
• Share technical knowledge through internal blogs, tech talks, architecture RFCs and engineering newsletters.
• Mentor peer engineers and junior team members through technical guidance and pair programming.

What you'll need

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related STEM field + 7 years of related experience; OR Master's degree + 4 years of related experience; OR Ph.D. + 1 year of related experience.
• Solid conceptual and practical expertise in software engineering and distributed systems, with broad proficiency across multiple technical job families and modern technology stacks.
• Expert-level hands-on coding proficiency in one or more core languages (Python, TypeScript/JavaScript, Go, Java, C++, or Rust) with confirmed experience architecting and shipping critically important, enterprise-grade software.
• Consistent track record of independently leading complex technical features, driving architectural design RFCs, and applying agile engineering standard methodologies across the full SDLC.
• Strong background in writing modular, highly testable code, designing automated test suites, and performing comprehensive code reviews.

Nice to have

• Hands-on production experience with Generative AI technologies, LLMs, Model Context Protocol (MCP), LangGraph, LlamaIndex, vLLM, or multi-agent orchestration frameworks.
• Experience architecting and scaling high-concurrency microservices, low-latency APIs, event-driven architectures (Kafka, RabbitMQ), and distributed caching (Redis).
• Deep familiarity with cloud-native infrastructure, container orchestration (Docker, Kubernetes), GPU compute environments (Triton Inference Server, CUDA), and vector databases.
• Expertise in enterprise security patterns, OAuth 2.0 / Token Exchange (RFC 8693), Zero Trust architecture, and automated threat modeling.
• Hands-on experience with modern observability stacks (OpenTelemetry, Prometheus, Splunk, Grafana) and automated CI/CD deployment pipelines (Canary/Blue-Green deployments).
• Exceptional communication, presentation and multi-functional leadership skills with the ability to influence technical roadmaps and mentor engineering teams.