Platform Engineer (Solr/Fusion)
Role details
Job location
Tech stack
Job description
We are seeking a skilled Platform Engineer with expertise in Lucidworks Fusion or Elasticsearch to design, deploy, optimize, and maintain our enterprise search and data analytics platforms. The ideal candidate will have a strong background in search engine architectures, data ingestion and indexing strategies ensuring reliable, scalable and performant search solutions., Search Platform Administration Deploy configure and maintain Lucidworks Fusion or Elasticsearch instances Monitor platform health, troubleshoot issues and perform capacity planning. Implement and enforce security measures including access controls, encryption and audit logging. Optimize search and query performance through tuning, caching and pipeline configuration. Data Ingestion & Integration Design data pipelines and connectors to ingest data from various sources into Elasticsearch and Lucidworks. Collaborate with Data Engineering and Application teams to support data flow and indexing processes. Ensure data consistency, accuracy, and timeliness in search indexes., Job Description: Note: Fidelity will not provide immigration sponsorship for this position. Principal Engineer - Python API Development The Role: As a Principal Engineer on…
- 8 hours ago
Requirements
Minimum of 7 years experience working with Elasticsearch or Lucidworks Fusion. Hands-on experience with deploying, scaling, and tuning Elasticsearch clusters. Proven experience with Fusion platform administration, customization, and development. Strong understanding of search engine architecture, information retrieval, and relevance tuning. Proficiency with scripting languages such as Bash, Python, or similar. Familiarity with containerization and orchestration tools (Docker, Kubernetes) is highly desirable.
Benefits & conditions
About Mphasis Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis' Front2Back Transformation approach. Front2Back uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis' Service Transformation approach helps 'shrink the core' through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis' core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients. Other details Salary range $63000 to $134500 Recruiters Amitabh Bose