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

Cisco ThousandEyes · Bangalore, India

Bangalore, India7+ yearsPosted 13 Nov 2026Last checked 13 Nov 2026

Free account: apply link, HR contact and an AI-written cold email

About the role

Meet the Team In Cisco Enterprise AI Platforms & Infrastructure (EAIPI), our vision is to architect, build, and scale world-class agentic AI platforms, foundation infrastructure, and developer ecosystems that power Cisco's next generation of intelligent products and services. We are the engineering organization behind Cisco's flagship AI initiatives, including MyAgent (Cisco's super agent) and the Circuit Enterprise AI platform. Our high-velocity team operates at the intersection of frontier generative AI, distributed systems, GPU infrastructure, and modern software engineering. We build with a relentless focus on engineering craftsmanship, high talent density, uncompromising quality, and developer enablement—empowering thousands of engineers across Cisco to create, validate, and scale multimodal agentic experiences. Your Impact As a Software Engineer (Senior / Tech Lead level) in Cisco EAIPI, you will serve as an advanced technical professional driving end-to-end software engineering excellence across our flagship AI platforms. Developing software consistent with Cisco ‘Design Thinking Principles’, you will place simplification and User Experience (UX) at the core while upholding strict secure coding standards, user privacy, and engineering best practices. You will take holistic ownership of feature roadmaps, lead project delivery through delegation and technical review, collaborate with product managers and UX designers to build customer-centric solutions, and author comprehensive architectural and user documentation. Additionally, you will champion product innovation, optimize the software development lifecycle, and resolve complex issues across development and production systems. Responsibilities Sophisticated Technical Leadership & Execution: Apply advanced proven experience, industry procedures, and deep systems understanding to solve technical problems and elevate product capabilities. Autonomy & Decision-Making: Work with high autonomy and minimal guidance, resolving optimal architectural patterns, technical designs, and implementation approaches End-to-End Project Ownership: Drive initiatives from end-to-end by scoping requirements, delegating tasks, conducting technical reviews, and delivering well-rounded results on schedule. Feature Design & Roadmap Delivery: Lead medium-to-large feature delivery from architectural design through testing, deployment, and post-launch optimization. Perfect Code Craftsmanship: Write clean, high-performance, and modular code along with comprehensive test suites without requiring guidance. Code Quality & Risk Mitigation: Conduct deep, meticulous code reviews to identify both immediate bugs and broader architectural risks, maintaining an extraordinarily high quality bar. Scalability & Performance Optimization: Test, profile, and optimize code to enhance scalability, execution velocity, token throughput, and runtime reliability across distributed systems

Skills mentioned

  • Java
  • JavaScript
  • TypeScript
  • Python
  • Rust
  • Docker
  • Kubernetes
  • Redis
  • Kafka
  • LLMs
  • Microservices

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