Gartner · 10 hours ago
Sr Software Engineer (API, Search Engine, Java)
Stamford, CT
Full-time
Hybrid
Senior Level
5+ years expGartner is a leading research and advisory company, and they are seeking an experienced Sr. Search Engineer to help build and enhance a scalable, high-performance search platform. The role involves implementing advanced search capabilities and collaborating with cross-functional teams to optimize search relevancy and user experience.
Business DevelopmentConsultingInformation Technology
Responsibilities
Providing technical leadership in search technologies, guiding cross-functional projects with data science, engineering, and infrastructure teams
Implementing advanced search algorithms leveraging search engine features such as vector search, natural language processing, personalization, and other state-of-the-art technologies
Collaborating with machine learning and data science teams to optimize relevancy models that improve user search experiences, incorporating feedback loops and behavioral data
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
Implementing frameworks for A/B testing to experiment with different search and relevancy approaches, measuring and analyzing the outcomes to drive continuous improvements
Enhancing the search infrastructure to ensure scalability and robustness as the system grows in complexity and usage
Continuously testing and optimizing the performance of the search engine to improve query response times, accuracy, and relevancy based on defined metrics
Integrating the search infrastructure with other services and data platforms to enable seamless data retrieval, indexing, and search performance monitoring
Developing and maintaining scalable data pipelines to ensure efficient data flow, low-latency indexing, and real-time search capabilities
Analyzing search patterns, user interactions, and relevancy metrics to refine search algorithms and improve the overall user experience
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
Qualification
Required
5-8 years of post-college experience in Software engineering, API development or related fields
Strong qualitative and quantitative problem-solving skills along with high on ownership and accountability
Experience with search engines such as OpenSearch, Elasticsearch, Solr, or similar technologies
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
Experience leading teams in building search applications from the 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
Preferred
Experience with terraform and DevOps pipelines
Benefits
Generous PTO
401k match up to $7,200 per year
The opportunity to purchase company stock at a discount
Company
Gartner
Gartner provides fact-based consulting services, helping clients use and manage IT to enhance business performance.
10001+ employees
H1B Sponsorship
Gartner has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (51)
2024 (43)
2023 (60)
2022 (66)
2021 (96)
2020 (71)
Funding
Current Stage
Public CompanyTotal Funding
$800M2025-11-13Post Ipo Debt· $800M
1993-10-15IPO
Leadership Team
Eugene Hall
CEO
Patrick Stakenas
Vice President, Team Manager - Tech CEO Go To Market - High Tech and Invest Research
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