Software Engineer | Distributed System + Fullstack (Python,Go, Java) + AI - 4+ years

Cisco ThousandEyes · Bangalore, India

Bangalore, India5+ 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 premier 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 steadfast focus on engineering craftsmanship, high talent density, principled quality, and developer enablement—empowering thousands of engineers across Cisco to create, validate, and scale multimodal agentic experiences. Your Impact As a Software Engineer in Cisco EAIPI, you will develop software consistent with Cisco ‘Design Thinking Principles’ with a focus on simplification and User Experience (UX) at its core. You will apply secure coding practices, ensure user privacy, and follow modern software development engineering standards. In this role, you will partner closely with multi-functional teams including design, product management, and core systems architecture to build robust, scalable solutions for our users and enterprise customers. You will create technical design documentation for your team, supply to end-user documentation, debug complex software issues across development and production environments, drive continuous innovation, and optimize software engineering and delivery workflows. Responsibilities: Technical Execution & Problem Solving: Apply modern software engineering standard methodologies and internal/external technical domain knowledge to enhance platform performance, reliability, and usability. Autonomy & Technical Ownership: Work independently with guidance from engineering leaders, resolving optimal technical approaches and architecture to deliver roadmap commitments. Feature & Project Leadership: Lead small-to-medium feature development from technical design through implementation, testing, deployment, and post-launch monitoring. Engineering Craftsmanship: Write high-quality, functional, maintainable, and clean code with comprehensive unit and integration tests under minimal supervision. Code Quality & Peer Reviews: Perform thorough, constructive code reviews for peers, ensuring code quality, security alignment, and architectural consistency across the codebase. Scalability & Performance: Design and write software components that optimize system scale, runtime reliability, token throughput, and release velocity. Security & Privacy by Design: Champion secure coding principles, identify threat models, and implement robust privacy and safety standards across features.

Skills mentioned

  • Java
  • JavaScript
  • TypeScript
  • Python
  • Docker
  • Kubernetes
  • CI/CD
  • Redis
  • Machine learning
  • LLMs
  • REST APIs
  • GraphQL

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