> Markdown version of [/jobs/ext/617686-senior-software-engineer-ai-platforms](https://www.wearedevelopers.com/jobs/ext/617686-senior-software-engineer-ai-platforms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer AI Platforms - **Company:** Cisco Systems, Inc. - **Location:** Santa Clara County, CA, United States - **Experience:** Expert - **Salary:** $150,900.0 - $222,200.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, C++ (Programming Language), Software as a Service, Cloud Computing, Distributed Systems, Python (Programming Language), Performance Tuning, Redis, Software Engineering, Data Logging, Google Cloud, Cloud Platform System, Containerization, AI Platforms, Kubernetes, Apache Kafka, Api Design, Software Coding, Docker, Golang - **Published:** June 16, 2026 - **Apply:** https://diversityjobs.com/career/9187311/Senior-Software-Engineer-Ai-Platforms-California-San-Jose ## About the Role * 5+ years' experience as a Senior Software Engineer with a strong background in building SaaS services at scale with API first design and demonstrated technical leadership skills. * 5+ year's experience writing code in Python, Java, Go and/or C/C++. * BA / BS degree with 4+ years of experience (or) MS degree with 2+ years of experience as a software development engineer. Preferred Qualifications * Familiarity with AI and machine learning concepts and the ability to collaborate effectively with data scientists and AI engineers. * Experience with Docker platform delivery tool or similar. * Experience developing distributed systems and implementing them using Kafka, Redis or similar. * Experience developing cloud infrastructure services such as AWS, Google Cloud and/or Azure. * Experience using Kubernetes architecture. * Knowledge of security and compliance standards. ## Description We are looking for a highly skilled Senior Software Engineer to assume a leadership role in developing and maintaining APIs for our AI platform. As a Senior Software Engineer, you will collaborate closely with disparate teams, providing technical expertise, and leading initiatives to enhance our AI platform's capabilities. Your deep understanding of Kubernetes architecture, cloud infrastructure, and your passion for AI and machine learning will be instrumental in guiding our team to success. What You Will Do Technical Leadership: Provide technical leadership by guiding and mentoring a team of Software Engineers, driving technical excellence in API development and cloud deployment. API Development: Design, develop, and maintain APIs that expose AI capabilities to various teams, ensuring scalability, reliability, and ease of use. AI Integration: Collaborate with data scientists and AI engineers to seamlessly integrate AI models and algorithms into the platform, making them accessible through the APIs. Kubernetes Expertise: Leverage your experience with Kubernetes to architect and optimize deployment and orchestration of AI services in containerized environments. Cloud Infrastructure Deployment: Lead the deployment and management of AI services on cloud platforms such as AWS, Google Cloud, and Azure for scalability, security, and cost optimization. Performance Optimization: Identify and resolve performance bottlenecks in the AI platform, optimizing response times and resource utilization. Monitoring and Logging: Implement robust monitoring and logging solutions to track the performance and health of deployed AI services, enabling issue resolution. Security Compliance: Ensure that AI services and APIs meet security and compliance standards, collaborating closely with security teams to implement necessary measures. Documentation: Build clear and comprehensive documentation for APIs, deployment processes enabling teams to use the platform effectively. ## Related Videos - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)