Design and build MaintainX’s end-to-end search and retrieval platform as a Senior Software Developer.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Explore semantic search, vector retrieval, and AI-enhanced relevance using modern ML tooling.
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
The Senior Software Developer for Search at MaintainX focuses on designing and building a comprehensive search and retrieval platform, ensuring high relevance in results through collaboration with product experts. Key skills include hands-on experience with production-grade search systems and familiarity with technologies like Elasticsearch and OpenSearch. This role is ideal for seasoned developers with a strong background in search architecture and a knack for optimizing performance. MaintainX, now part of Autodesk, emphasizes a culture of meritocracy and innovation in operational tools.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on MaintainX's careers page October 27, 2026.
- Elasticsearch appears in 4.3% of 517 comparable senior backend roles in United States; SOLR appears in 0.2% of 517 comparable senior backend roles in United States.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, Elasticsearch, Lucene, ML, OpenSearch, SOLR.
- What seniority level is this role?
- MaintainX targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Developer, Search role at MaintainX.
From the original posting
What You'll Do:
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)
About You:
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.
Understanding of embeddings, chunking, and retrieval strategies.
Familiarity with search-specific tuning: analyzers, BM25, shard sizing, cluster health, and relevance optimization.
Comfort taking systems from implementation to deployment and production operation, working across backend services, data pipelines, and integration points as needed.
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.
Nice to Have:
Experience evaluating and improving search relevance using both qualitative analysis and quantitative metrics.
Experience shipping AI-powered or LLM-integrated backend systems
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.
Standard company text repeated across MaintainX's postings is omitted here.