Job Responsibilities
- Build and maintain full stack applications in our suite of enterprise software products
- Work with product managers and designers to brainstorm bottom-up solutions to novel problems
- Collaborate with AI engineers to efficiently utilize commercial large language model (LLM) APIs
- Continuously improve the code quality, extensibility, and test coverage of software projects
- Improve internal developer tools, workflows, and best practices to enhance team efficiency
- Troubleshoot and resolve complex issues across the entire application stack
- Mentor junior team members
- Participate in incident response and disaster recovery efforts
- Other duties as assigned
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
- Minimum of 5 years of professional experience as a software engineer
- Experience building full stack applications in Python and JavaScript with a modern frontend framework (React preferred)
- Comfortable working directly with product managers, designers, and other internal stakeholders to refine requirements
- Experience building modern, cloud-native applications using serverless technology (API Gateway, Lambda, DynamoDB, or similar)
- Interest in building enterprise software with deep customer empathy, taking pride in contributing to a world class end-to-end user experience
- Strong problem-solving, collaboration, teamwork and communication skills
- Eagerness to learn and adapt to new technologies and tools
- Deep understanding of:
- Version control systems (Git)
- Relational databases and data modeling (Postgres preferred)
- RESTful API design and documentation
- CI/CD tools such as GitHub Actions or similar
- Containerization and orchestration (Docker, ECS)
- Cloud platforms (AWS, Azure, or Google Cloud)
- Modern software development lifecycle on an agile product team
Preferred Qualifications
- Expertise with React and Next.js
- Experience with TypeScript and type annotations in Python
- Comfortable working with Infrastructure as Code in AWS (CloudFormation, SAM)
- Experience building applications on top of LLMs using commercial APIs
- Familiarity with Postgres, query optimization, and database indexing
- Exposure to data science tooling in Python (numpy, scipy, scikit-learn, pandas)

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