Sr Search Engineer (Faceted Searchs, Indexing) - AskGartner

Gartner•Stamford, CT

4d•Hybrid

About The Position

Hiring near our US Centers of Excellence. Irving, TX Stamford, CT Gartner offers a flexible environment, with remote work that allows associates great flexibility to work from home, and opportunities to connect with colleagues for moments that matter on-site. Candidates that apply should be located within a reasonable proximity to one of Gartner’s Centers of Excellence office locations. About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About this role: Our mission is to create effortless, customer-centric, habit-forming digital experiences that enable clients to solve their mission critical priorities. We are seeking an experienced Sr. Search Engineer to help build and enhance a scalable, high-performance search platform. As data volumes grow and user queries become more complex, we need someone with deep expertise in search technologies like OpenSearch, Elasticsearch, Apache Solr, or Lucene to push our infrastructure to the next level. In this role, you'll focus on implementing advanced search capabilities, including vector search, natural language processing (NLP), and personalization, all aimed at improving search relevancy and user experience. You'll collaborate closely with cross-functional teams, including data engineering, data science and cloud, to design robust search platform, data pipelines and integrate machine learning models that continuously refine search results. Strong knowledge of distributed systems, API development, and performance optimization will be key to succeeding in this role

Requirements

5-8 years of post-college experience in Software Engineering, API development or related fields.
The candidate should have strong qualitative and quantitative problem-solving skills along with high ownership and accountability.
Experience with search engines such as OpenSearch, Elasticsearch, Solr, or similar technologies, and proficiency in leveraging advanced techniques like vector search, NLP, and personalization to build sophisticated, multifaceted relevancy scoring systems.
Strong understanding of concurrency patterns, experience building thread safe code, building highly performant code.
Strong command of Data Structures, Algorithms, and Design Patterns to build moderately complex and efficient systems.
Significant experience developing and maintaining production-scale, customer-facing web services.
Experience leading teams in building search applications from scratch, migrating applications to different search engines.
Proficiency in writing high quality production code, demonstrating strong software engineering expertise
In-depth knowledge of relevancy metrics, including precision, recall, and DCG, and the ability to apply these metrics to improve search performance.
Strong expertise in programming languages such as Java, Python used for search and data engineering solutions.
Experience designing large-scale distributed systems, particularly custom search functionalities, and working with cloud technologies like AWS (e.g., EC2, S3, Lambdas, Kinesis).
Experience with search analytics and monitoring tools like Dynatrace, and Datadog, used for tracking and improving search performance.
Experience working in an Agile environment, contributing to continuous integration and delivery pipelines, and strong experience with microservices architecture.
Experience working with data engineers and data science teams to build feedback loops for machine learning models that enhance search relevancy.
Experience with A/B testing and experimentation to validate search algorithm changes and drive continuous improvements based on real-world results.
Experience working with Postgres, or Oracle or equivalent enterprise RDBMS system.
Bachelor’s degree or foreign equivalent degree in Computer Science or a related field required
Excellent communication and prioritization skills.
Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment.
Owns success – Takes responsibility for successful delivery of the solutions.
Strong desire to improve upon their skills in software development, frameworks, and technologies.

Nice To Haves

Experience with terraform and DevOps pipelines.
Experience with Agentic Workflows or AI-driven automation.
Proven track record of improving team velocity through better tooling or process improvements.

Responsibilities

Technical Collaboration & Leadership: Providing technical leadership in search technologies, guiding cross-functional projects with data science, engineering, and infrastructure teams.
Developing Search Algorithms: Implementing advanced search algorithms for leveraging search engine features such as vector search, natural language processing, personalization, and other state-of-the-art technologies.
Relevancy Model Development: Collaborating with machine learning and data science teams to optimize relevancy models that improve user search experiences, incorporating feedback loops and behavioral data.
Developing APIs: Writing APIs or services to integrate relevancy feature embeddings into the search engine, and developing efficient, real-time search query logic to capitalize on these embeddings.
A/B Testing and Experimentation: Implementing frameworks for A/B testing to experiment with different search and relevancy approaches, measuring and analyzing the outcomes to drive continuous improvements.
Infrastructure Optimization: Enhancing the search infrastructure to ensure scalability and robustness as the system grows in complexity and usage.
Performance Tuning: Continuously testing and optimizing the performance of the search engine to improve query response times, accuracy, and relevancy based on defined metrics.
Integration: Integrating the search infrastructure with other services and data platforms to enable seamless data retrieval, indexing, and search performance monitoring.
Data Pipeline Management: Developing and maintaining scalable data pipelines to ensure efficient data flow, low-latency indexing, and real-time search capabilities.
Data Analysis: Analyzing search patterns, user interactions, and relevancy metrics to refine search algorithms and improve the overall user experience.
Search Result Tuning Based on Business Metrics: Collaborating with product and business teams to fine-tune search results to align with business goals like conversion, engagement, and retention.
Contribute to the review and analysis of business requirements.
Perform and participate in code reviews, peer inspections and technical design/specifications.
Ensure code integrity standards and code best practice.

Benefits

Competitive compensation.
Limitless growth and learning opportunities.
A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you.
A chance to make an impact – your work will contribute directly to our strategy.
Enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices.
20+ PTO days plus holidays and floating holidays in your first year.
Extensive medical, dental insurance and vision plan.
401K with corporate match, immediate vesting.
Health-and-wellness-related allowance programs.
Parental leave.
Tuition reimbursement.
Employee Stock Purchase Plan.
Employee Assistance Program.
Gartner Gives Charity Match.