Although this is a remote position it is for US residents only and requires candidates to be physically located within the US for employment due to tax and compliance reasons.
The Senior Software Engineer will support our line of business operations by building, deploying, and maintaining robust backend solutions and high-performance APIs, and applying advanced Python skills to extract, analyze, and model large datasets to support critical business decisions. This role utilizes modern frameworks and technologies in accordance with industry software engineering standards.
Key Responsibilities
• Design, develop, debug, and deploy scalable and efficient backend and API code.
• Perform in-depth data analysis, including statistical analysis and scenario modeling, by extracting and manipulating data using Python libraries such as Pandas and NumPy to inform business strategy and product development.
• Collaborate with Data Science and business teams to understand data requirements and provide analytical insights from data.
• Perform ad hoc analysis and troubleshooting to resolve issues with deployed systems.
• Write code as part of a collaborative team, building backend features and data-driven services that are critical to our day-to-day operations.
• Design, implement, and maintain robust DevOps and software development practices and infrastructure.
• Manage, define, and break down tasks in an agile environment.
• Mentor other team members.
• Implement with some autonomy & architect solutions in collaboration with engineering leadership.
• Own the problem and scope solutions that line up with business objectives.
• Provide rapid responses to the team's needs.
Skills and Experience
• Three to five years of experience with Python, Django, or similar web frameworks.
• Solid experience with relational databases and strong SQL skills.
• Deep experience with data analysis, statistical methods, and relevant Python libraries (e.g., Pandas, NumPy) for complex data manipulation and modeling.
• Familiarity with data preparation and data manipulation techniques.
• Familiarity with Google Cloud Platform or other cloud providers for deploying scalable services and backend workloads in a production environment.
• Demonstrated ability to troubleshoot, problem solve, test, and develop solutions independently.
• Ownership mindset and capable of self-managing tasks, scope, and priorities.
• Focused on providing our customers with world-class products and services.
Highly Desired
• Experience with core ML concepts, algorithms, and libraries (scikit-learn, Tensorflow, etc.).
• Familiar with Generative AI concepts, LLMs, and prompt engineering techniques.
• Experience in building and evaluating RAG-enabled workflows.
Expected Outcomes (first year)
• Build performant and scalable backend and full-stack solutions to support new and existing products and features.
• Deliver timely and accurate data analysis and scenario modeling to the Data Science (DS) team and business stakeholders.
• Develop and maintain documentation for new and existing business logic in systems.
• Be active in the engineering community, performing code reviews and sharing knowledge
