Urgent Need Solr and Elasticsearch Developer at New York, NY (Onsite)

Hi,

Pleasure mailing you. Please go through the below requirement and let me know if you are comfortable with the position.

Please send me your updated resume along with the best hourly rate, work authorization status and availability.

An early response is really appreciated.

Job Title : Solr and Elasticsearch Developer

Location : New York, NY (Onsite)

Duration : 12 Months

Job Summary:

We are seeking a skilled and experienced Search Engineer with hands-on expertise in both Apache Solr and Elasticsearch. The ideal candidate will be responsible for designing, developing, and maintaining scalable search solutions that power intelligent search experiences across our platforms. You will work closely with data engineers, backend developers, and product teams to implement advanced search features, optimize indexing pipelines, and ensure high performance and relevance.

Key Responsibilities:

Design and implement scalable search solutions using Solr and Elasticsearch.
Develop and maintain indexing pipelines for structured and unstructured data.
Optimize search relevance using analyzers, tokenizers, stemming, boosting, and custom scoring.
Implement advanced search features such as faceted search, autocomplete, spell correction, and synonyms.
Monitor and tune performance of search clusters, queries, and indexing jobs.
Integrate search services with backend APIs and front-end applications.
Collaborate with cross-functional teams to understand search requirements and deliver solutions.
Ensure high availability, fault tolerance, and security of search infrastructure.
Document architecture, configurations, and best practices.

Required Skills & Qualifications:

Bachelor’s or master’s degree in computer science, Engineering, or related field.
7+ years of experience in strong hands-on experience with Apache Solr and Elasticsearch (at least 2–3 years with each).
Proficiency in Java, Python, or Scala for backend development and integration.
Experience with search schema design, indexing strategies, and query optimization.
Familiarity with RESTful APIs, JSON, and data modeling.
Experience with log analysis, monitoring tools, and search cluster management.
Knowledge of text analysis, natural language processing (NLP), and information retrieval concepts.

Preferred Qualifications:

Experience with search UI frameworks (e.g., React + Search UI, Kibana, or custom dashboards).
Familiarity with cloud-based search deployments (AWS OpenSearch, GCP, Azure).
Experience with data ingestion tools like Logstash, Beats, or Apache NiFi.
Exposure to machine learning-based ranking models or semantic search.
Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.

Thanks & Regards,

Suresh Kumar Reddy Kandula

Lead - US IT

E: Sureshr@tekskillsinc.com | P: 732-847-0934