What you'll do day-to-dayYou'll design, build, and maintain the core systems that power Wisable's internal platform, with an emphasis on reliability, scalability, and automation. Key responsibilities:
- Develop and maintain high-quality, performant backend applications primarily in Python, with ReactJS used as needed for data-driven interfaces.
- Design and evolve system architecture, including database schemas, service boundaries, and data flows across internal systems and external integrations.
- Own PostgreSQL-based data models, including schema design, migrations, performance optimization, and data integrity for complex workflows.
- Build and maintain integrations across core infrastructure components such as CRMs, document systems, cloud services, and internal tools.
- Develop and maintain AI-powered systems, including RAG pipelines that integrate structured and unstructured business data into production workflows.
- Improve the reliability, observability, and robustness of both AI-driven and non-AI systems as the platform scales.
- Design and implement automation and RPA-style workflows to reduce manual effort and improve operational efficiency.
- Optimize application performance, system latency, APIs, and overall availability.
- Apply best practices for security, with particular focus on handling sensitive financial and business data.
- Participate in code reviews, testing, and continuous integration to maintain a high standard of code quality.
- Collaborate closely with non-technical leadership to gather requirements, explain technical tradeoffs, and support business decision-making.
What we're looking for- A bachelor's degree in computer science, software engineering, or a related field, or equivalent practical experience.
- Five or more years of professional experience building and operating production systems.
- Solid proficiency in Python, with familiarity in ReactJS a plus.
- Experience designing and operating distributed SaaS systems in modern cloud environments, and solid experience with PostgreSQL and relational data modeling.
- Ability to work with complex data structures and multi-step workflows, with a grounding in object-oriented design, SOLID principles, and common design patterns.
- Intermediate experience in Generative AI or AI engineering, including RAG pipelines; experience with LangChain or LangFlow is a plus.
- Demonstrated success improving system reliability, performance, and maintainability over time, and familiarity with workflow automation and background processing systems.
- Solid understanding of security best practices, particularly around sensitive financial data.
- Excellent communication skills and the ability to collaborate effectively in a small, autonomous, and fast-moving team.
- Flexibility and curiosity when adapting to new tools, frameworks, and data techniques and comfort operating in an entrepreneurial, early-stage environment where priorities evolve quickly.
- The expected annual base salary for this position is $170,000 to $230,000. There will be variable compensation in the form of a year-end bonus.
