Smarsh enables organizations to manage the risk and uncover the value within their communications data.
Senior Software Engineer – Professional Archive Search, AI
Location
United States
Posted
55 days ago
Salary
$95K - $120K / year
Seniority
Senior
Job Description
Senior Software Engineer – Professional Archive Search, AI
Smarsh
• Support and empower your team by contributing to a collaborative, inclusive, and respectful work environment • Partner with engineers and stakeholders to design and deliver scalable search and data solutions • Help bridge traditional lexical search and modern semantic search approaches • Design and implement hybrid search strategies combining keyword-based and vector-based retrieval • Work with vector databases to manage and query high-dimensional embeddings • Design and optimize retrieval-augmented generation (RAG) pipelines, including handling long documents and retrieval quality • Contribute to knowledge graph–driven approaches to enhance search relevance and data relationships • Build and maintain high-throughput streaming data pipelines (e.g., Kafka) for real-time ingestion and indexing • Contribute to architectural decisions that improve system scalability, reliability, and observability • Participate in a shared on-call rotation to support service reliability and incident response with a focus on learning and prevention • Collaborate with Product and Engineering to define technical requirements, timelines, and deliverables • Apply modern engineering practices, including Agile methodologies, CI/CD pipelines, and DevOps principles • Review code, identify areas for improvement, and help reduce technical debt • Troubleshoot and resolve production issues to maintain high availability and performance • Stay current with emerging technologies in search, AI, and data systems, and evaluate their impact • Deploy and manage applications in Kubernetes environments • Monitor application health and performance using tools such as Splunk, Datadog, and Grafana
Job Requirements
- Experience building and operating software in a modern private cloud-based environment
- Strong background in distributed systems and search or data-intensive applications
- Experience with search technologies such as Lucene, Elasticsearch, or Solr, including how indexing and query systems work
- Hands-on experience with vector similarity search and vector databases (e.g., Qdrant, Milvus, Vespa, or similar)
- Familiarity with retrieval-augmented generation (RAG) concepts and architectures
- Understanding of knowledge graphs or graph-based data modeling concepts
- Experience designing scalable data pipelines and working with streaming technologies such as Kafka
- A collaborative mindset, with openness to feedback and different perspectives
- Understanding of modern software development practices and Agile methodologies
- Ability to communicate technical concepts, progress, and trade-offs clearly
- Comfort working in evolving environments where requirements may change over time
- A proactive and thoughtful approach to solving complex problems
Benefits
- Healthcare insurance: We provide medical, dental, and vision insurance, and a flexible spending account that allows you to set aside pre-tax dollars to pay for eligible out-of-pocket expenses.
- Stock options.
- Personal time off: A healthy work-life balance is critical to your success at the office. Smarsh offers a “take-what-you-need” time off policy as well as flexible work arrangements.
- 401K Match: Smarsh provides a 4% 401K match for which employees are fully vested on day one.
- Sabbatical: The Smarsh sabbatical programme provides a time to recharge, study or simply do something you are passionate about away from the workplace. Employees are eligible after six years of service.
- Recognition: We’re big on kudos for a job well done. Our employee-recognition programme enables co-workers to nominate their peers who best embody our core values for recognition.
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