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Systems built upon open source storage and search technologies including Cassandra, Kafka, Solr, Postgres and Redis. We are seeking an experienced and dynamic Site Reliability Engineer (SRE) Operator to join our team in maintaining the reliability, availability, and performance of our systems.
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Key Qualifications: At least 3 years of prior demonstrated experience in a Site Reliability Engineering, DevOps, or an Infrastructure-focused role. Interact with and support partner teams including engineering, SRE, QA, and project management.
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Experience with data access optimization for Cassandra, PostgreSQL and Solr/Elastic search and Lucene. Experience with data access optimization for Cassandra, PostgreSQL and Solr/Elastic search and Lucene.
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Experience with Apache Kafka and Apache Solr is a plus. Experience with big data pipelines using Hadoop and Apache Spark is a plus. Experience with Java and J2EE, Java11 related technologies: Spring Framework, spring-boot, JUnit / TestNG. Strong knowledge and understanding of data structures, algorithms, design patterns, concurrency, multi-threading, scalability, fault tolerant designs, enterprise architecture and software engineering principles.
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Search technologies – SolR – must have worked on this technology & should exhibit experience. Project is SolR search focused – so even though person doesn’t need to code, but should be able to understand what is needed.
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Search indexing stacks - Elastic Search, Solr / Lucene (nice to have ) Search indexing stacks - Elastic Search, Solr / Lucene (nice to have ) Front end development ( React, Nodejs, Flask ) The role will involve work on web services, distributed systems, real time data processing pipelines, data mining & search technologies to power experiences on Cloud by building platform to enable the lifecycle of billions of images, documents and other assets in Cloud.
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Experience with big data technologies Cassandra/solr/kafka/redis. Experience with big data technologies Cassandra/solr/kafka/redis. Domain experience in computer networking, and Java are a plus.
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Familiarity with advertising targeting and measurement technologies, digital marketing analytics, and platforms like GCP, BQ, and Elastic/SOLR/Vector Search. Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with Kubernetes and Docker and familiar with InfluxDB, Cassandra, RDS, Elasticsearch, Solr, Splunk. Experience with Kubernetes and Docker and familiar with InfluxDB, Cassandra, RDS, Elasticsearch, Solr, Splunk.
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Experience with SOLR, ElasticSearch, Queues, Data Streams. Experience with SOLR, ElasticSearch, Queues, Data Streams. Advanced level of experience as hands-on Java Software Engineer. Experience with Jenkins, CI/CD pipelines, APM tools.
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Project is SolR search focused. Angular ,React JS,Node JS, Web API, SQL, Mongo DB. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com.
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This service is built using Solr indexes, but it is our goal to incorporate AI/ML improvements into the core matching algorithms to improve accuracy and provide a more reliable metadata matching service for the organization.
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Postgres, Solr DB, Google Cloud. Integration development experience and knowledge with one or more Network Access Control (NAC) Software such as Fortinet, Cisco ISE & SecureX, Extreme Networks, Palo Alto, Checkpoint, ForeScout, Aruba, or Clearpass.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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