Senior Software Developer, Search

About the role

MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 15,000 customers, including McDonalds, Michaels, Cintas, Redimix, and U.S. LBM, use MaintainX to cut unplanned downtime and run better operations, across 16 million managed assets and 92 million completed work orders.

In August 2026 MaintainX became part of Autodesk, joining Autodesk Operations Solutions https://adsknews.autodesk.com/en/views/inside-autodesk-operations-solutions/, the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion Operations. Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours.

About the Role We’re starting a new Search team to make it easier for users find exactly what they need across MaintainX. You’ll play a critical role in designing, building, and scaling search infrastructure that reflects the unique shape of the MaintainX domain. This is a zero-to-one role. You’ll be scoping ambiguity, shipping usable search early, and evolving it with fast feedback loops. If you enjoy building systems from scratch, obsess over performance and relevance, and want your work to power daily decisions across industries, we’d love to talk.

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.