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Role & responsibilities Design and implement robust, scalable search architectures using Solr and Elasticsearch. Write, optimize, and maintain complex search queries (including full-text, faceted, fuzzy, geospatial, and nested queries) using Solr Query Parser and Elasticsearch DSL. Work with business stakeholders to understand search requirements and translate them into performant and accurate queries. Build and manage custom analyzers, tokenizers, filters, and index mappings/schemas tailored to domain-specific search needs. Develop and optimize indexing pipelines using Apache Spark for processing large-scale structured and unstructured datasets. Perform query tuning and search relevance optimization based on precision, recall, and user engagement metrics. Create and maintain query templates and search APIs for integration with enterprise applications. Monitor, troubleshoot, and improve search performance and infrastructure reliability. Conduct evaluations and benchmarking of search quality, query latency, and index refresh times. Preferred candidate profile 3 to 5 years of hands-on experience with Apache Solr and/or Elasticsearch in production environments. Proven ability to write and optimize complex Solr queries (standard, dismax, edismax parsers) and Elasticsearch Query DSL, including: Full-text search with analyzers Faceted and filtered search Boolean and range queries Aggregations and suggesters Nested and parent/ child queries Strong understanding of indexing principles, Lucene internals, and relevance scoring mechanisms (BM25, TF-IDF). Proficiency with Apache Spark for custom indexing workflows and large-scale data processing. Experience with document parsing and extraction (JSON, XML, PDFs, etc.) for search indexing. Experience integrating search into web applications or enterprise software platforms.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.