About the Role

We are looking for a Senior Software Engineer to design and build the systems that power how knowledge is captured, organized, and surfaced across a large, fast-moving organization. In this role you will work at the intersection of search, data infrastructure, and machine learning to make information easy to find and easy to trust. You will own meaningful pieces of the platform end to end, partner closely with product and data teams, and help shape how thousands of people discover and reuse knowledge every day. This is a hands-on engineering role with significant scope and the opportunity to influence technical direction.

What You'll Do

You will design, build, and maintain scalable backend services and pipelines that ingest, index, and serve knowledge content from many sources. You will develop and improve search and retrieval experiences, including relevance ranking, indexing, and the integration of large language model and retrieval augmented generation techniques where they add value. You will model and manage structured and unstructured data so that it stays accurate, discoverable, and well governed. You will collaborate with product managers, data scientists, and other engineers to translate ambiguous problems into clear technical plans and shipped features. You will write high quality, well tested code, conduct thoughtful code reviews, and raise the engineering bar for the team. You will also monitor system performance, troubleshoot production issues, and continuously improve reliability and scale.

Qualifications

You have 5 or more years of professional software engineering experience building and operating production systems. You are proficient in one or more modern backend languages such as Python, Java, Go, or Scala. You have hands-on experience with search, information retrieval, or knowledge management systems, including technologies such as Elasticsearch, OpenSearch, Solr, or a vector database. You have strong fundamentals in data structures, distributed systems, and API design. You have built and maintained data pipelines or services at scale and are comfortable operating in ambiguity with limited direction. You communicate clearly and can collaborate effectively across product, data, and engineering partners.

Preferred Qualifications

Experience applying machine learning, natural language processing, or large language model techniques to search and retrieval problems is a strong plus. Familiarity with retrieval augmented generation, embeddings, and semantic search is valued. Experience with cloud platforms such as AWS, GCP, or Azure and with containerization and orchestration tools like Docker and Kubernetes is helpful. Prior experience at a large consumer marketplace, platform, or other high scale technology environment is desirable. A background in knowledge graphs, taxonomy, or content governance is also welcome. Key Details Start Date: June, 2026 Contract Duration: 6-12 months, with possibility of extension Schedule: Full-time, 40 hours per week Location: Remote (US based), PST preferred Compensation: $75-$95/hr