Staff Software Engineer – Search
| Company | Realtor.com |
|---|---|
| Location | Austin, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- A highly skilled software engineer with extensive experience in building scalable search platforms and backend services.
- Proven ability to lead teams in delivering complex features while ensuring high quality and scalability.
- Experience with LLM, RAG, and other Gen-AI experience a huge plus.
- Strong communication and collaboration skills, capable of interacting effectively with product managers, stakeholders, and other engineers.
- 7+ years of software development experience, with specific expertise in search technologies (e.g., Elasticsearch, Solr) and scalable backend services.
- Experience with cloud-based architectures and services, particularly AWS (Lambda, EC2, S3, etc.).
- Proficient in designing and implementing data pipelines, and integrating machine learning models into production search platforms.
- Bachelor’s or Master’s degree in Computer Science/Engineering or equivalent professional experience.
Responsibilities
- Serve as a technical lead for key projects, focusing on the architecture and development of scalable backend services and search functionalities.
- Develop AI-native services.
- Design, build, and optimize high-performance search platforms using Elasticsearch, ensuring relevance, accuracy, and speed for millions of users.
- Collaborate with cross-functional teams to define and implement solutions that drive product innovation, scalability, and performance.
- Own the design and development of complex features, including data pipelines and the integration of advanced machine learning models into the search platform.
- Drive performance optimizations for search and backend services, ensuring low-latency and high availability.
- Mentor and coach engineers, guiding them on best practices, technical problem-solving, and search technologies.
- Contribute to the technical roadmap and long-term architecture vision, driving innovation and reducing technical debt.
- Play a critical role in hiring and developing engineering talent, fostering a culture of collaboration and continuous improvement.
Preferred Qualifications
- Experience with LLM, RAG, and other Gen-AI experience a huge plus.