Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and proficient applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in Python
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Experience in developing Python applications for automation and reporting, leveraging libraries such as Pandas, NumPy, and Matplotlib.
- Proficient in Python programming with experience in dependency management using tools like poetry, pipenv or uv.
- Strong understanding of version control systems, particularly Git, and experience with collaborative development workflows.
Preferred qualifications, capabilities, and skills
- Experience with Java and modern web-based application development using Restful APIs.
- Experience with data science tools and frameworks, such as Jupyter, Scikit-learn, and TensorFlow, to build and deploy data-driven applications.
- Familiarity with large language model integrations using frameworks like LangChain and LlamaIndex to enhance application capabilities.
- Exposure to containerization and orchestration technologies, such as Docker and Kubernetes, for deploying scalable Python applications.
- Understanding of RESTful API design and development to facilitate integration with other systems and services.