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Solr Jobs (NOW HIRING)

Role Solr Admin Location NYC NY (Day One Onsite, Hybrid 3 days in a week) Duration Fulltime Key Responsibilities: * Design and implement scalable search solutions using Apache Solr. * Develop and ...

Solr Admin Location: New York Position Type: Contract Duration: 6 / 12 Month Work Type: Onsite Rate: Pay range offered to a successful candidate will be based on several factors, including the ...

SOLR Senior Developer

Atlanta, GA

$52.50 - $69.25/hr

SOLR Sr. Developer Location : Atlanta, GA Type : Full Time Permanent : Relevant Experience (Yrs) : Have 3+ years of experience on SOLR search engine platform & overall should have 6+yrs of IT ...

Integrate Solr with other systems and APIs (e.g., RESTful services). * Monitor and troubleshoot Solr clusters and indexing pipelines. * Collaborate with cross-functional teams including data ...

Required Skills & Qualifications: * 5+ years of experience with Apache Solr, including SolrCloud deployments. * Need experience in migration SOLR 8.5.1 to SOLR 9.9 * Strong proficiency in Java and ...

Solr Admin

New York, NY · On-site

$80K - $106K/yr

Integrate Solr with other systems and APIs (e.g., RESTful services). * Monitor and troubleshoot Solr clusters and indexing pipelines. * Collaborate with cross-functional teams including data ...

As a Solr Administrator, you will be responsible for managing Solr clusters, resolving complex incidents, and contributing to the design of scalable IT infrastructure solutions. Responsibilities ...

Cloud Engineer with Solr : Apple

Austin, TX · On-site

$55.25 - $73.75/hr

Need someone who can work with Solr Cluster Management Provisioning of Solr in AWS EC2 and EKS Strong in IaC tools like Terraform for provisioning Additional Comments * 5+ years of experience in SRE ...

NET Solr Developer Unique skill set desired: Web-based and Win32 development &.NET 3.5/4 using MS VS & SQL, Eclipse, Cordova, Clear Case, JQuery IBM Mobile First; Share Point, Lucid Works / Solr, SAP ...

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How much do solr jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for solr in the United States is $25.00, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $20.91 per hour, depending on experience, location, and employer.

What is a Solr job?

A Solr job typically involves working with Apache Solr, an open-source search platform used for indexing and searching large volumes of data. Responsibilities may include configuring Solr, optimizing search performance, managing indexes, and integrating Solr with applications. Professionals in this role often work with technologies like Java, Lucene, and REST APIs to develop scalable search solutions.

What are the key skills and qualifications needed to thrive in the Solr position, and why are they important?

To thrive as a Solr Engineer, you need a strong background in search engine technologies, information retrieval, and experience with Apache Solr, typically supported by a degree in computer science or a related field. Working knowledge of relevant tools like SolrCloud, RESTful APIs, and scripting languages (such as Python or Bash) is frequently required, and certifications in related big data or search technologies can be advantageous. Excellent problem-solving abilities, collaboration skills, and clear communication are essential soft skills to effectively interact with cross-functional teams and address user needs. These skills are critical for ensuring robust, scalable search solutions that meet business requirements and provide a seamless user experience.

What are the typical daily responsibilities of a Solr Engineer?

A Solr Engineer typically spends their day designing, implementing, and optimizing search solutions using Apache Solr. Responsibilities include configuring Solr collections, developing custom analyzers, indexing data, monitoring search performance, and troubleshooting any issues that arise. The role often involves collaborating with software developers, data engineers, and product managers to understand search requirements and deliver tailored solutions. Continuous improvement through performance tuning and staying updated on advancements in search technology are also key aspects of the job.
What are the most commonly searched types of Solr jobs? The most popular types of Solr jobs are:
What states have the most Solr jobs? States with the most job openings for Solr jobs include:
Infographic showing various Solr job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $51,999 per year, or $25 per hour.

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Posted 6 days ago


Job description

Role Solr Admin
Location NYC NY (Day One Onsite, Hybrid 3 days in a week)
Duration Fulltime
Key Responsibilities:
  • Design and implement scalable search solutions using Apache Solr.
  • Develop and maintain Solr schemas, configurations, and custom analyzers.
  • Optimize search performance and relevance through tuning and query rewriting.
  • Integrate Solr with other systems and APIs (e.g., RESTful services).
  • Monitor and troubleshoot Solr clusters and indexing pipelines.
  • Collaborate with cross-functional teams including data engineers, backend developers, and product managers.
  • Write unit and integration tests to ensure code quality and reliability.
  • Maintain documentation for search architecture and configurations.

Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
  • 7+ years of experience with Apache Solr and search technologies (Lucene, Elasticsearch).
  • Proficiency in Java and experience with JVM tuning.
  • Strong understanding of indexing strategies, tokenization, and relevance tuning.
  • Experience with microservices architecture and REST APIs.
  • Familiarity with CI/CD tools like Jenkins, Maven, and Git.
  • Excellent problem-solving and communication skills.

Preferred Skills:
  • Experience with cloud platforms (AWS, Azure).
  • Knowledge of containerization tools (Docker, Kubernetes).
  • Familiarity with Python or scripting for automation.
  • Exposure to e-commerce or high-volume data environments.
  • Understanding of Linux system administration and performance tuning.