Senior Software Developer (Search)
Posted Updated
- Design and build MaintainX’s end-to-end search and retrieval platform — from indexing pipelines and ranking systems to AI-facing query layers
- Partner with product and domain experts to model search across core entities like work orders, assets, and procedures, ensuring high-relevance results
- Ship fast, iterate fast, launch early versions, gather feedback, and improve rapidly
- Operate and optimize distributed systems, ensuring reliability, performance, and scalability under real-world load
- Drive architectural decisions, balancing correctness, performance, and long-term maintainability
- Own integrations between search systems and upstream data sources
- Explore semantic search, vector retrieval, and AI-enhanced relevance using modern ML tooling
- On-call duties (currently business hours)
Benefits
- Flexible time off
- Training and development investments
- Competitive salary and equity opportunities
- Comprehensive healthcare coverage
- Hands-on experience designing, building, and operating production-grade search systems end-to-end — including indexing, query execution, relevance tuning, and infrastructure — using technologies such as Elasticsearch, OpenSearch, Lucene, Solr, or similar
- Comfort taking systems from implementation to deployment and production operation, working across backend services, data pipelines, and integration points as needed
- Familiarity with search-specific tuning: analyzers, BM25, shard sizing, cluster health, and relevance optimization
- Understanding of embeddings, chunking, and retrieval strategies
- An expert level of English, both spoken and written, is required, as the individual will need to lead platform engineering managers across multiple teams, present technical priorities to executive stakeholders, and align with engineering leaders outside Québec on a daily basis
- Experience shipping AI-powered or LLM-integrated backend systems
- Experience evaluating and improving search relevance using both qualitative analysis and quantitative metrics
- Comfortable using modern AI tools like GPT, Copilot, or Cursor to boost productivity and streamline development
- Understanding of multi-tenancy and data security, including ACLs, field-level access controls, and secure index partitioning
- Experience building observability and success metrics into systems to monitor performance, usage, and impact