> Markdown version of [/jobs/ext/3370041-senior-python-developer](https://www.wearedevelopers.com/jobs/ext/3370041-senior-python-developer). 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 Python Developer - **Company:** Charles Schwab Inc. - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Cloud Computing, Code Review, Databases, Continuous Integration, DevOps, Data Flow Control, Github, Identity and Access Management, Python (Programming Language), Machine Learning, NoSQL, Object-Oriented Software Development, Scrum Methodology, Release Management, Tensorflow, Software Engineering, SQL Databases, Systems Integration, Software Organization, Google Cloud, Test-Driven Development (TDD), Spring Cloud, Pytorch, ReactJS, Flask (Web Framework), Large Language Models, Prompt Engineering, Generative AI, Infrastructure as Code (IaC), Backend, Fastapi, Information Technology, HuggingFace, Machine Learning Operations, Restful APIs, Terraform, Data Pipelines, Docker, Microservices - **Published:** September 5, 2026 - **Apply:** https://dejobs.org/x/x/152011453E0240C59FBC06EBB903DD60/job/ ## About the Role * Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related field. * 8+ years of experience in software engineering, data science, or AI/ML. * 5+ years of professional software development experience using Python as a primary programming language. * 3+ years of hands-on experience developing and deploying Generative AI applications, including LLM-based solutions, retrieval-augmented generation (RAG), prompt engineering, or GenAI platform capabilities. * 3+ years of experience in technical leadership. * Proven experience building and delivering production-grade cloud-native applications on Google Cloud Platform (GCP), including Cloud Run and containerized services using Docker. * Experience designing and supporting data orchestration and pipeline solutions using Apache Airflow, Dataflow, or similar technologies. * Experience developing microservices and RESTful APIs using frameworks such as FastAPI, Flask, or similar technologies. * Experience working with ReactJS and integrating front-end applications with backend services and APIs. * Strong understanding of SQL, data modeling, and relational and/or NoSQL database technologies. * Demonstrated experience leading Agile delivery practices, including sprint planning, backlog management, release planning, prioritization, and daily team coordination. * Experience driving engineering excellence through code reviews, test-driven development, CI/CD pipelines, and modern software development practices. * Strong communication, stakeholder management, collaboration, and leadership skills with the ability to influence technical and business decisions across cross-functional teams., * Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline. * Experience applying AI, machine learning, or Generative AI solutions within financial services or other highly regulated industries. * Deep knowledge of large language models, transformer architectures, and frameworks such as LangChain, Hugging Face, or similar technologies. * Experience with vector databases, embeddings, RAG architectures, and AI evaluation or observability frameworks. * Familiarity with machine learning frameworks such as PyTorch and TensorFlow, along with MLOps practices and deployment tooling. * Experience with Infrastructure as Code (IaC), Terraform, DevOps practices, GitHub, and CI/CD automation. * Knowledge of security, identity and access management (IAM), and compliance considerations in cloud-based environments. * Experience designing and implementing scalable microservices architectures and object-oriented software solutions. * Experience building monitoring, observability, and reliability frameworks for enterprise-scale applications. * Demonstrated success building, mentoring, and growing high-performing engineering teams. ## Related Videos - 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