Senior Search Engineer I

McKinsey & Company

McKinsey & Company

Gurugram, Haryana, India

Posted 6+ months ago
Technology & Digital

Senior Search Engineer I

Job ID: 97497
  • Gurugram


Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

Your Impact

As a Search Engineer, you will be responsible for designing, developing, and optimizing search functionality to enhance the relevance, efficiency, and scalability of search experiences.
In this role, you will work on search algorithms, indexing, ranking, and retrieval systems, leveraging Generative AI to deliver accurate and meaningful results for users.
You will design and implement search architectures, including indexing, ranking, and query parsing components. You will build and optimize search pipelines to support real-time and batch processing.
You will develop and fine-tune search algorithms to improve relevance and accuracy. You will also implement machine learning models and natural language processing (NLP) techniques to enhance query understanding and result ranking.

Your Growth

You will be part of the McKinsey Technology and Digital group, which addresses the firm's internal software development needs.
You will equip McKinsey’s business thought leaders with the tools and knowledge necessary for their global client engagements.
Your development teams will be small and flexible, utilizing agile methodologies to swiftly deliver the required solutions to your user community.
You will be involved in integrating the latest open-source technologies with traditional Enterprise software products.

Your qualifications and skills

  • Bachelor's degree, preferably in computer science, information technology, computer engineering, or related IT discipline; or equivalent experience
  • Experience with OpenSearch/Elastic Search, including knowledge of text analyzers, cluster management, Elasticsearch query DSL, aggregations, highlighting, percolation, and system scaling
  • Ability to design indexing processes for large data volumes
  • Experience in deploying web applications, ingestion and search pipelines, and microservices in production cloud environments within the software industry
  • Proficiency in programming with Java Spring Boot Microservices
  • Capability to troubleshoot issues independently
  • Knowledge of Python programming is advantageous
  • Understanding of semantic search and vector databases
  • Familiarity with Solr is beneficial
  • Ability to translate business requirements into technical solutions
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Industries
  • High Tech
Capabilities
  • Technology
Apply Now Apply Later

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

share this job

Job Skill Group - N/A
Job Skill Code - SFYB - Senior Software Engineer II
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Fri May 02 00:00:00 GMT 2025
LinkedIn Posting City - Gurgaon
LinkedIn Posting State/Province -
LinkedIn Posting Country - India
LinkedIn Job Title - Senior Search Engineer I
LinkedIn Function - Consulting;Engineering;Information Technology
LinkedIn Industry - Information Technology and Services;Management Consulting
LinkedIn Seniority Level - Mid-Senior level