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Find jobsInstantly improve your search experience. Expert Solr developers optimize indexing and search performance—hire and onboard in as little as a week.
Ricardo is a Java backend engineer who builds event-driven Spring services for large retail and e-commerce systems on GCP and Kubernetes. Recently he rebuilt CI/CD so deployments dropped from hours to minutes, and worked on inventory, catalog, and search-sync streams that keep product availability up to date.
Ricardo is a Java and Python backend engineer who has spent 15 years on financial systems, including a reporting platform where he built real-time collaborative editing, XBRL validation, and an AI engine that detects tags and financial statement structure. He also cut a logistics optimization flow from over an hour to seconds with Python algorithms on Azure Functions.
Abdul is a UI/UX and product designer who works in Figma, Webflow, and design systems, with recent work spanning smart home, healthcare, and ecommerce products. He led a company-wide design system used across 100+ digital products and later designed a multi-room audio app and site, moving the web experience from WordPress to Webflow.
João is a React Native and Next.js engineer who builds cross-platform products end to end, from mobile apps to web and TV clients. He cut an agribusiness app’s startup time from 4 to 8 minutes to 45 seconds on bad networks, and later built a 2FA microfrontend with native Keychain work in Swift, Kotlin, Objective-C, and Java.
Jakub is a Go backend engineer focused on Temporal, Kafka, and Kubernetes, building long-running telecom workflows that can pause for manual fixes, validate them, and resume. He also created a DSL for those workflows and introduced an actor-per-resource model to remove race conditions while integrating poorly documented legacy APIs.
Vladyslav is an Angular frontend developer who spent 6 years building customer-facing flows in TypeScript, NgRx, and RxJS. On a vehicle inspection platform, he built a self-service insurance claims flow, integrated multiple providers, and cut page load time by 50% by rewriting part of the product in Angular.
Victor is a React and Node.js product engineer who led key work on a user research platform, from LLM-based theme detection and OpenAI follow-up questions to a GraphQL results service migration that cut CDN costs by 65%. He also built and grew a Next.js side product to 18k monthly visitors and 1,000+ community users.
Fayaz is an AI/ML engineer working in Python, PyTorch, FastAPI, Kubernetes, and AWS SageMaker. He leads an enterprise document intelligence platform with hybrid RAG, BM25 plus reranking, and LoRA fine-tuning for LLaMA 3 and Mistral, and earlier built regulated insurance risk models with SHAP-based explanations and automated retraining.
Robert is a backend engineer working mainly in Python, Go, and FastAPI who builds LLM systems and distributed services. He founded a multi-agent planning system that keeps code aligned with evolving specs, built a context engine that pushes updates instead of re-querying, and later raised throughput by 60% on an agent evaluation platform.
Developers who got their wings at
How it works
Fill in a short form
Tell us about your Apache Solr project, timeline and hours, then look through our vetted developers.
Take a 30-minute call
A Lemon.io matching expert goes over your needs and gives you a budget estimate.
Meet 1–3 candidates
Apache Solr specialists are rare, so profiles can take longer than 24 hours. Interview candidates as usual.
Start working
Your developer joins your team part-time or full-time and works directly with you.
Reached out on Monday evening, connected Tuesday morning, had four qualified candidates by Wednesday.
We had an excellent experience. Process is fast from the initial intake through setting up payment.
The developers helped us speed up. They quickly learned their part of the app and we’re grateful for their contribution.
We vet every developer
Every Apache Solr developer passes a live interview with a senior engineer. We accept 1.2% of applicants.
We hand-pick your matches
A matching expert picks people by your stack, domain and time zone, and tells you why each one fits.
We handle the paperwork
We handle contracts, NDAs and invoices. You pay Lemon.io, and we pay your developer.
We stay after you hire
Your Lemon.io manager stays in touch with you both. If it doesn't work out, we find a replacement for free.
The lemon tea
Solr powers search in plenty of older e-commerce sites and document portals. We find developers who tune relevance and keep the index healthy as content grows.
Relevance, not just indexing
Strong candidates talk about analyzers, boosting and testing relevance against real queries, not only about getting documents in.
Search skills in profiles
Solr rarely appears on its own. Look through profiles for Solr or Elasticsearch work and line up interviews with the strongest fits.
Upgrade in hours
Planning a Solr upgrade or a move to Elasticsearch? A Lemon analyst can size it before you choose anyone.
Why hire Solr developers
Relevance tuning
Boosts, synonyms and analyzers tested against real user searches.
Faceted search
Filters and counts that stay fast on large catalogs.
SolrCloud operations
Shards, replicas and ZooKeeper kept healthy.
Move off Solr?
An honest comparison with Elasticsearch or OpenSearch, and a staged switch.
The experience with Lemon.io has been fantastic. The interview process has been good, the caliber of people – excellent and integration has been very smooth.
We needed extra developers to clean off all these bugs so the company could skyrocket.
We needed extra AI engineers to keep our ambitious project running.
You can find Apache Solr developers by searching available talents on freelance platforms, developer communities and forums (Github, Stack Overflow) or by posting a job on LinkedIn, Indeed, or other job board platforms. There are no Apache Solr developers per se, so just put the tool as a required skill.
Lemon.io is another option that will take all the needed steps (searching for the best specialists on 300+ different websites, screening, and tech interviewing) for you and connect you with a couple of candidates who perfectly match your project in 48 hours.
A no-risk trial period for hiring Apache Solr developers is a paid trial that helps the client and the developer make sure that they are a good match. During this paid trial (20 hours or less), the client is able to assess the developer’s soft and hard skills on real-life tasks, which is impossible to do during the selection process, no matter how well thought through it is.
Also, the clients can be sure that even if anything goes wrong or the chosen developer underperforms, we will switch them to another one whose skills and expertise match their project’s needs.
Yes, Apache Solr developers are still very much in demand, as it’s actively used to create searching and indexing features and enhance user experience. It is scalable, can handle large data, and has great documentation. The demand usually comes from industries where sophisticated search capabilities are needed, like e-commerce (especially heavily), news and media, publishing, and others.
You can hire an Apache Solr developer through Lemon.io in 48 hours! It will take us this much time (often less) to hand-pick a few pre-vetted developers who fit the requirements that you’ve provided. Of course, even though our team has already checked the candidates’ expertise, you are still welcome to conduct your own selection process, which might take a few more days. But still, if you are ready to start working with a developer after the first call, we will be more than happy to set up your subscription the same day.
The main strengths of Lemon.io’s platform are our reliability and efficiency. Let us explain:
1. We find developers from more than 300 websites and other sources. Only the best ones with 4+ years of experience undergo our careful interviewing process with our recruiters (behavioral and tech questions) and tech specialists (tech discussions and live coding). We are confident in their expertise and soft skills, but if anything goes wrong and the developer you’re working with does not meet your expectations, no worries—we will provide you with a more suitable candidate. We are reliable.
2. In 24-48 hours, we provide you with 2-3 developers who best fit your project’s requirements. Most of our clients end up working with one of those few, which speaks for the efficiency of our internal matching process and saves up resources.
The developers also appreciate the fact that there is no more competing with hundreds of other applicants. They don’t have to waste time on sales, administration, or discussions on terms and conditions, as we back them up with that stuff and only offer the projects that fit their preferences.
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