About the Role
We are seeking a highly experienced Staff Java Engineer to join our team. The ideal candidate will have a strong background in building and scaling backend systems with excellent software engineering practices. In this role, you will design, implement, and maintain robust solutions that power our platforms. You will work closely with cross-functional teams to deliver high- quality, scalable solutions that drive our business forward.
Key Responsibilities
- Develop and deliver clean, maintainable, performant code
- Help define the architectural strategy for the systems you own and contribute to
architectural vision for the platform at large - Review code and provide feedback on technical work on the team
- Build services and tooling to streamline the development process
- Mentor and coach less experienced engineers on the team
- Help define standards and best practices on your team for testing, software delivery,
observability, contract definition, and so on - Participate in sprint-related meetings such as standup, grooming, retrospective, and
roadmap replenishment - Encourage a culture of experimentation, prototyping and brainstorming across technical
teams - Provide consultation for non-technical teammates and clarity around technical decisions
- Advocate for new technology and design patterns where you believe they can help power
the business - Advocate for flexible, domain-driven solutions that balance expediency with long-term
flexibility
Requirements
- Experience with ecommerce is a big plus
- Experience with billing and fulfillment systems is a big plus
- Some experience with React is a plus
- Experience integrating or implementing applications using large language models (LLMs)
- Familiarity with LLM agent architectures like AutoGen, LangGraph, or Semantic Kernel
- Experience with chatbot implementation or conversational interfaces
- Knowledge of prompt engineering to enhance AI application outputs
- Experience with microservices architecture and containerization (Docker, Kubernetes)
- Understanding of data science concepts to support performance evaluation
Nice to Have
- Experience integrating or implementing applications using large language models (LLMs)
- Familiarity with LLM agent architectures like AutoGen, LangGraph, or Semantic Kernel
- Experience with chatbot implementation or conversational interfaces
- Knowledge of prompt engineering to enhance AI application outputs
- Experience with microservices architecture and containerization (Docker, Kubernetes)
- Understanding of data science concepts to support performance evaluation
What we Offer:
- Competitive compensation
- Remote work opportunities
- Professional development and learning opportunities
