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Solr Standard Jobs in Raleigh, NC (NOW HIRING)

Real Soft, Inc.

Software Developer

Cary, NC · On-site

Develop software in conformance with industry standards. Provide consulting support on processes ... SOLR, Elastic Search, NoSQL DB (MongoDB, Redis etc.), AWS, and CDN cloud services; MuleSoft; AWS or ...

All JobsSolr Standard JobsSolr Standard Jobs in Raleigh, NC

Solr Standard information

See Raleigh, NC salary details

$5

$24

$55

How much do solr standard jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for solr standard in Raleigh, NC is $24.30, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $20.34 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Solr Specialist, and why are they important?

To thrive as a Solr Specialist, you need expertise in search technologies, strong programming skills (often in Java), and experience with data indexing and retrieval, typically backed by a degree in computer science or a related field. Familiarity with Apache Solr, related tools like Lucene, and experience using REST APIs and cloud platforms are important, and certifications in Solr or search technologies can be advantageous. Analytical thinking, problem-solving abilities, and strong communication skills help in understanding user requirements and effectively delivering solutions. These skills ensure robust, scalable search implementations that meet organizational data discovery needs.

What are some common challenges faced by professionals working with Solr Standard, and how can they be addressed?

Professionals working with Solr Standard often face challenges related to indexing large volumes of data efficiently and ensuring optimal search performance. Handling schema changes and maintaining consistency across distributed systems can also be complex. These challenges can be addressed by staying updated with best practices for schema design, leveraging Solr's built-in tools for monitoring and optimization, and collaborating closely with development and operations teams to ensure robust deployment and scaling strategies. Regular knowledge-sharing within the team helps in troubleshooting and continuous improvement.

What are Solr Standards?

Solr standards refer to the best practices, protocols, and guidelines used when implementing, configuring, and maintaining Apache Solr, an open-source search platform. These standards help ensure that Solr deployments are efficient, secure, and scalable, covering topics such as schema design, query optimization, indexing strategies, and system monitoring. Following Solr standards can improve search relevance, system performance, and reliability. Organizations often develop their own internal Solr standards based on their specific use cases, but many also follow recommendations from the official Solr documentation and the broader open-source community.

What is the difference between Solr Standard vs Solr Core Developer?

AspectSolr StandardSolr Core Developer
Required CredentialsKnowledge of Solr configuration, basic Java, and search engine conceptsAdvanced Java, Solr architecture, and core development skills
Work EnvironmentConfiguring and maintaining existing Solr instancesDeveloping and customizing Solr cores and plugins
Employer & Industry UsageUsed by organizations for search solutions, often in e-commerce and enterprise appsInvolved in building and optimizing Solr cores for specific applications
Search & Comparison IntentUnderstanding basic differences and rolesTechnical development and customization capabilities

Solr Standard focuses on configuring and maintaining existing Solr instances, suitable for search administrators. Solr Core Developer involves creating and customizing Solr cores, requiring deeper development skills. Both roles are essential in search engine deployment but differ in technical depth and responsibilities.

What are popular job titles related to Solr Standard jobs in Raleigh, NC? For Solr Standard jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Solr Standard jobs in Raleigh, NC look for? The top searched job categories for Solr Standard jobs in Raleigh, NC are:
Solr Standard jobs near you

Senior Machine Learning Engineer III ***Raleigh, NC***

LexisNexis

Raleigh, NC • On-site

$118K - $219K/yr

Full-time

Posted 20 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

150th of 426 rated business services

Job description

Are you looking to develop your Machine Learning Engineer career?
Do you enjoy coaching others to achieve high standards?
This is a full-time position based in Raleigh, NC.
(Hybrid - 3 days in office)
About the Role
We are seeking a Consultant-level Machine Learning Engineer to lead the implementation and scaling of AI systems for legal products. This role focuses on how to build and scale-owning system architecture, infrastructure, and productionization of ML/LLM solutions.
You will partner with Data Scientists to turn validated models and prototypes into reliable, high-performance, customer-facing systems.
Key Responsibilities
  • Architect and implement scalable ML/LLM systems in production.
  • Build and deploy LLM applications, including RAG pipelines and agentic systems.
  • Implement hybrid search systems (semantic + lexical) using embeddings and search platforms.
  • Develop and maintain APIs, microservices, and model serving infrastructure.
  • Build data pipelines and streaming systems for large-scale data processing.
  • Define and develop reusable frameworks, libraries, and infrastructure for AI/ML across teams.
  • Optimize systems for latency, scalability, reliability, and cost efficiency.
  • Establish best practices for deployment, monitoring, observability, and CI/CD.
  • Collaborate with Data Scientists to productionize models and integrate into products.
  • Provide technical leadership in system design and engineering standards.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Strong experience implementing and scaling production ML/LLM systems.
  • Deep experience with LLM application development, including RAG and prompt orchestration.
  • Strong experience designing and implementing agentic systems using agent frameworks (e.g., LangChain, LangGraph, AutoGen, Google ADK), including orchestration of multi-step workflows in production environments.
  • Strong experience with hybrid search (semantic + lexical), embeddings, and search platforms (e.g., Solr, OpenSearch).
  • Expertise in distributed systems and cloud-native development, including AWS (S3, DynamoDB).
  • Experience with streaming and messaging systems (e.g., Kafka, SQS) and caching (e.g., Redis).
  • Proficiency in Python and experience with systems languages (e.g., Rust, Go, Scala).
  • Experience building scalable APIs (REST/GraphQL).
  • Experience with containerization and orchestration (Docker, Kubernetes).
  • Strong software engineering fundamentals (system design, testing, CI/CD).

Preferred Qualifications
  • Experience with LLM platforms (e.g., ChatGPT/OpenAI, Claude, Gemini, LangChain, Google ADK).
  • Experience with DevOps and infrastructure as code (e.g., Terraform, CloudFormation, Jenkins).
  • Experience with big data technologies (e.g., Spark, Hadoop).
  • Familiarity with graph databases (e.g., Dgraph, Neo4j, Neptune).
  • Experience building high-availability, low-latency systems.
  • Experience in legal or regulatory domains.

Key Competencies
  • Strong system architecture and scalability mindset.
  • Ownership of implementation, performance, and reliability.
  • Ability to translate data science solutions into production systems.
  • Cross-functional collaboration with DS, product, and platform teams.
  • Excellent debugging, optimization, and operational skills.
  • Clear communication of technical designs and trade-offs.

#AIFluent
U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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