Python Software Engineer III

Y ou’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. - Executes standard software solutions, design, development, and technical troubleshooting - Writes secure and high-quality code using the syntax of at least one programming language with limited guidance - Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications - Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. - Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. - Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity - Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development - Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems - Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills - 3+ years of experience in developing APIs using python and familiar with any scripting languages. - Experience in working with data and databases. - Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. - Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. - Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages - Demonstrable ability to code in one or more languages - Experience across the whole Software Development Life Cycle - Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security - Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills - Familiarity with modern front-end technologies - Exposure to cloud technologies preferably AWS