cloud-native-applications jobs in San Diego

Sr. Engineer responsible for designing, building, and deploying production-grade AI platforms and solutions centered on LLMs, RAG, and agentic workflows.…See more The role spans full-stack development—from backend services and APIs to cloud-native infrastructure on Kubernetes—with emphasis on enterprise search, retrieval optimization, and AI application integration. Must have strong programming skills across Python, Java, C#/.NET, Rust, TypeScript/JavaScript, and proven experience architecting and operating scalable, production-ready AI systems.

The Senior Scientific Platform Engineer will develop and maintain software components, data processing workflows, and platform services that operationalize scientific innovations for clinical studies. The role requires translating research outputs and algorithms into production-grade backend services, APIs, and data pipelines on AWS, while collaborating with Science, Data Science, Product, and Engineering teams.…See more The ideal candidate has 5+ years building analytics platforms or scientific computing solutions, strong Python proficiency, and experience with cloud-native and serverless architectures. The position demands the ability to understand complex scientific methods and transform them into scalable, validated, maintainable software solutions within a regulated healthcare environment.

Sr. AI Developer at XiFin will design and build AI-powered applications, agents, and automation tools that enhance software development workflows and improve engineering productivity.…See more The role involves developing intelligent testing solutions integrated with CI/CD pipelines, implementing AI-assisted developer tools using Claude and AWS Bedrock, and evaluating emerging AI technologies. You'll work hands-on across Python, LLMs, generative AI, and cloud-native AWS infrastructure, partnering with Engineering, QA, and DevOps teams to prototype and deploy scalable, production-ready solutions. The position requires 4–7+ years of software engineering experience with strong Python skills, LLM/generative AI application experience, and familiarity with modern DevOps practices.