Search Engineer Resume Samples

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E Kshlerin

Elliot

Kshlerin

114 Edgardo Shore

Phoenix

+1 (555) 891 8989

114 Edgardo Shore

Phoenix

Phone

p +1 (555) 891 8989

Experience Experience

Dallas, TX

Search Engineer

Dallas, TX

Turner-Sawayn

Dallas, TX

Search Engineer

Practices agile development methods and exemplifies core agile values of transparency, collaboration, embracing change and iterative development
Design and develop Search solutions and capabilities for MSD's Intranet and Internet sites
Professional growth based on performance
Owns the design and development of significant components or modules and contributes to reviews of other components within the overall architecture
Design and develop SharePoint solutions and capabilities
Create verification tests and repair defects
Release management for enterprise search platform and enterprise search application

Detroit, MI

Senior Search Engineer

Detroit, MI

Hudson-Spencer

Detroit, MI

Senior Search Engineer

Developing generalized technical solutions and best practices in search within ECG
Work with architects and peer leads across the enterprise to drive out system design for high-complexity integrations
Work with teams of engineers to
Develop, compile, debug, and unit test builds for delivery to QA
Enhance and support a metrics-driven approach to continuously improve code quality
Travel within Europe and the United states quarterly to assist local markets with technical integrations and search initiatives
Staying up to date and polished on the Elasticsearch stack, assisting and consulting with teams across the globe on best practices and optimizations

present

Phoenix, AZ

Principal Search Engineer

Phoenix, AZ

MacGyver, Hyatt and Kunze

present

Phoenix, AZ

Principal Search Engineer

present

Be involved in all stages of a data science product development from definition, design, development and delivery
Works in collaboration with Data Scientists to constantly optimize the performance of the search engine
Test growth theories to make new customer acquisition work
Explores existing data for insights and recommends additional sources of data for improvements
Develop and test semantic wording concepts using clickstream and events processing
Define and assist on Search taxonomies/product catalogs/categorization
Work with a wide array of structured and unstructured data sources including relational and NoSQL databases and formats including text, image and audio/video

Education Education

Bachelor’s Degree in Computer Science

Southern Illinois University Carbondale

Bachelor’s Degree in Computer Science

Skills Skills

Demonstrated ability to work with a diverse group of professionals globally
Strong analytical skills and ability for conceptual & strategic thinking
Basic understanding of Search Engines and Enterprise Search technology
Knowledge with vector space models, text classification and categorization
Knowledge of ElasticSearch/Solr/Lucene is a big
Excellent problem solving skills
Demonstrates ability to ‘keep current’ with emerging technology trends and research
Demonstrated ability to balance multiple competing projects and neeeds
Implement high quality code in an agile software development environment
Demonstrable experience of working with/indexing large scale data and taking to production

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15 Search Engineer resume templates

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Lead / Senior Search Engineer Resume Examples & Samples

Lead the design and implementation of a modernized search infrastructure
Help worldwide shoppers find the products they want
Incorporate individual and global signals to identify the best products, and provide the tools to search them

Core Search Engineer Resume Examples & Samples

Expert knowledge of Solr, Lucene, or other search engine technologies
Very strong hands-on programming knowledge in Java (a minimum of 5 years of experience)
Experience with building large-scale distributed indexing & search systems
Strong problem solving, communication skills, and enjoys a collaborative environment
Knowledge of C++/Python is a plus
Experience working with open-source software/community (a well-curated blog, upstream accepted contribution or community presence)

Search Engineer Resume Examples & Samples

Leveraging the latest innovations in natural language processing, distributed systems and data pipelining to build out our search systems
Optimizing our systems for scalability, speed, high availability, minimal footprint
Designing the infrastructure on which our systems run

Search Engineer Resume Examples & Samples

Work with Enterprise Search Practice business resources to identify business challenges and new opportunities where the search capability can be leveraged to deliver business value
Provide seamless on-boarding and reduce time-to-market for enterprise applications to deliver search capabilities. As part of the onboarding process, conduct assessments of content and security models
Lead the development of search applications, connectors, and feeds as necessary. Ensure all solution designs are compliant with technology guiding principles and standards of the Company
Define and report on metrics to measure the success of all search initiatives
Accountable for search platform and integration into applications
Maintain and evolve the search roadmap to realize the enterprise search strategy
Define search reference architectures, patterns, and standards
Release management for enterprise search platform and enterprise search application
Engage with security resources to address risks of enterprise search exposing content that is not properly secured
Participate in data quality initiatives targeted at understanding the impact of data shortcomings on search effectiveness
Define and evolve ongoing search optimization processes
Manage search vendor relationships, monitor product direction, and ensure TCCC desired enhancements are clearly communicated and prioritized with vendors
Lead the evaluation and implementation of new enterprise search tools and capabilities
Bachelor's Degree or equivalent work experience
At least 7 years of relevant experience in Information Technology
System Design: Knowledge of system design procedures and the ability to translate functional business requirements into an application or process to meet clients' needs that also meets all relevant Company standards
IT Industry Knowledge: Knowledge of the key directional trends and emerging technologies in the Enterprise Search and Knowledge Management industry, including knowledge of the key vendors, their strategic and tactical plans, and internal/external advisory services
Technical Writing: Knowledge of and ability to apply effective design principles to communicate complex and detailed information across various communication vehicles and global environments
Technology Architecture & Standards Knowledge: Knowledge of the Company's technology architecture standards and standard technology solutions
Application Development Methodology: Ability to apply the standard application development methods covering the full development lifecycle to ensure solution quality and consistency of process
Implementing an enterprise search solution and establishing a practice/center of excellence in a Fortune 100 Company
Working with the Google Search Appliance, or similar enterprise search solution, to index a variety of content sources using crawling, connector and feed approaches
Integrating search service into enterprise applications and websites
Establishing and governing search and content standards
Google Search Appliance or similar enterprise search engine
Online and mobile usage metrics and technologies
SEO and usage behavior best practices and technologies
Proficient understanding of the majority of the following

Search Engineer Resume Examples & Samples

A passion for information retrieval
B.S. in Computer Science or equivalent experience
Unix / Linux proficiency
3-5+ years experience programming in either Python, C++ or Java
Solid understanding of distributed, scalable web application architecture
Fundamentals of software design, coupled with a deep understanding of object-oriented software and design patterns
Experience with full product lifecycles, rapid prototyping, and iterative product development
Experience with Elasticsearch, Mongo and Lucene a plus

Senior Search Engineer Resume Examples & Samples

Developing generalized technical solutions and best practices in search within ECG
Working collaboratively with other engineers, scientists and architects throughout the SDLC
Implementation of experiments guided by search scientists
Developing within the Elastic Search eco-system
Self motivated individual who loves challenge and continuous learning
Someone who is willing to travel once per quarter to interface with global teams on site
Familiarly with Big data technologies such as Hadoop and Flume

Search Engineer Resume Examples & Samples

Practices agile development methods and exemplifies core agile values of transparency, collaboration, embracing change and iterative development
Demonstrates a working understanding of architecture within their core area of expertise
Coaches the team in adopting relevant technologies and processes to build an ethos of craftsmanship within the team
Designs APIs in accordance with MapQuest API standards

Senior Search Engineer Resume Examples & Samples

Leveraging the latest innovations in natural language processing, data science, machine learning and distributed systems to build out our search systems
Innovating solutions to the many search challenges unique to one of the web’s most popular news sources
Collaborating with your colleagues across the company’s technology, business and newsroom departments

Search Engineer Resume Examples & Samples

Ranking/Scoring of search results with advanced Machine Learning models having millions of ranking features
Experience in Query Understanding or Intent detection based on query log mining to provide more accurate search results
Utilizes industry research to improve Stubhub technology stack
Other includes GitHub, Jira, Confluence and Agile Methodology

Senior Search Engineer Resume Examples & Samples

Experience with SOLR and SOLR Integration with Web based front ends. (Familiarity with Lucene and ElasticSearch is desirable but is not a substitute for knowledge of SOLR)
Java/JEE Development experience
Experience with GitHub, CVS, SVN (source code control systems)
Experience with Relational Databases (Oracle and MySQL in particular). Ability to write simple SQL and Stored Procedures
Experience with JDBC, Hibernate and other RDMS access frameworks
Experience with ETL (Talend Open Source ETL preferred, Informatica and other tools are a plus)
Experience with Javascript frameworks
Experience with Open Source
Familiarity with both Linux and Windows. Ability to write simple Shell scripts in Linux
Familiarity with Amazon EC2 experience a plus
Familiarity with NoSQL solutions such a Cassandra/Mongo/Dynamo is a plus
Demonstrable experience of working with/indexing large scale data and taking to production
Understands the development lifecycle including design, coding, testing and delivery
Experience in systems analysis, design and a solid understanding of development, quality assurance and integration methodologies
Develop integrated solutions within a broad technical and business context of significant impact
Focus more on the design, implementation, technical support and evaluation of new and existing systems
Bachelor's Degree in a relevant field of work or equivalent work experience

Search Engineer Resume Examples & Samples

Strong analytical skills and ability for conceptual & strategic thinking
Good understanding and experience of the full project life-cycle, management and structured development processes
Able to challenge the status quo when necessary, and at the same time respect the opinions presented by the team

Senior Search Engineer Resume Examples & Samples

You excel at designing and developing web applications that are highly scalable and robust
You thrive in a dynamic, constantly evolving environment which focuses extensively on delivering high quality applications at a rapid pace
You will be a team player who helps solve the most challenging ecommerce problems at very large scale
You will serve as subject matter expert and be a key contributor to our rapidly growing ecommerce application portfolio
Partner with Product Management and User Experience stakeholders to elicit requirements and use cases for complex system enhancements
Work with architects and peer leads across the enterprise to drive out system design for high-complexity integrations
Work with teams of engineers to
Detail technical designs and specifications for multiple product features
Develop, compile, debug, and unit test builds for delivery to QA
Enforce design and coding standards through formal reviews
Ensure web operations and non-functional system requirements are met prior to production deployment
Establish design and coding standards in partnership with architects and peers
Enhance and support a metrics-driven approach to continuously improve code quality
Mentor and train junior engineers on proper architecture and design of applications
Lead triage and resolution for complex production issues as they arise
5+ years’ work experience in developing applications using java and open source software like Hadoop, Mahout
Strong Development Experience with Apache Mahout, Apache Spark
Previous work experience in developing algorithms for ecommerce applications
In depth understanding and hands on experience with Lucene is critical
Candidates will need to have hands on experience with at least one cloud platform such as AWS, Google cloud, Azure, Rackspace etc
Strong development and programming experience in multiple languages
Lead the team of senior engineers
Experience with Hadoop programming model for large scale data processing
Other than the familiarity of the open source and cloud stack, solid computer science background is also a must. Candidate must be experienced with algorithm and data structure design and analysis,
Exceptional analytical aptitude and attention to detail
Must be eighteen years of age or older
Must successfully complete any required training or orientation courses

Maps Geo Search Engineer Resume Examples & Samples

A strong understanding and interest in machine learning, natural language processing, or information retrieval
Desire to solve challenges new problems at the intersection of user experience and computational algorithms
Strong engineering skills, preferably in Java/C/C++ and preference for candidates with prior search experience
Demonstrated ability to work as part of a small, focused team and complete critical milestones under pressure
Excellent written and oral communication skills on both technical and non-technical topics

Itunes, Senior Search Engineer Resume Examples & Samples

6-8+ years software engineering experience, preferably in Java
Ability to develop fault-tolerant distributed systems
Information retrieval techniques and experience with search technologies and systems
Experience with Lucene/Solr or similar search systems preferable

Search Engineer Resume Examples & Samples

3+ years practical experience in the following areas
Programming in one or more of Python, Java, C++
Distributed computing and clustering architectures, Hadoop/MapReduce
Working independently and collaborating in small teams to deliver production infrastructure

Search Engineer Resume Examples & Samples

Design and develop Search solutions and capabilities for MSD's Intranet and Internet sites
Assist in designing, planning, building, and operating MSD's Enterprise Search Platform
Help define best practices and guidelines for Search and SharePoint applications, acting as a subject matter expert for Search and SharePoint in interactions with other employees
Design and develop SharePoint solutions and capabilities
Identify capability gaps in MSD's SharePoint capabilities and design solutions to address those gaps
Contribute to SharePoint and Search technology roadmaps and future state capabilities
Drive solution governance across SharePoint and Search infrastructure
2-3 years’ SharePoint search administration and software development experience
SharePoint 2010/2013 out of the box web parts, lists, templates and workflow
Familiarity with Microsoft SharePoint 2010 and 2013
Knowledge of HTML, CSS, XSLT, and .Net
Familiarity with software development lifecycles, best practices, and methodologies such as Agile and Waterfall
Basic understanding of Search Engines and Enterprise Search technology
Familiarity with Cloud-based solutions and services in the Collaboration and Search technology space
Experience developing Search solutions in technologies such as FAST Search for SharePoint 2010, SharePoint 2013, and Google Search Appliance
Demonstrated ability to clearly communicate technical and non-technical information verbally and in writing
Demonstrated ability to work with a diverse group of professionals globally
Demonstrated ability to balance multiple competing projects and neeeds
Experience developing SharePoint solutions in SharePoint 2010 or SharePoint 2013

Search Engineer Resume Examples & Samples

End to end implementation of critical core search and data services
Development of data/search insights platforms and supporting tools for ML specialists
Prototyping and researching solutions to problems as part of product discovery and scoping
Participating in broader platform architecture design and decisions with fellow engineers and architects
Proficient in Elastic search / Solr data modelling and querying
Design and implementation experience of low latency, HA software system components
Experience working with Big Data systems over HDFS such as Hadoop/Spark and/or Tensorflow

Senior Search Engineer Resume Examples & Samples

End to end implementation of mission critical core search services
Active participation in continuous improvement of FiSci engineering processes and infrastructure
Staying up to date and polished on the Elasticsearch stack, assisting and consulting with teams across the globe on best practices and optimizations
Travel within Europe and the United states quarterly to assist local markets with technical integrations and search initiatives
Productionizing ML solutions in Spark and Tensorflow with ML specialists, and fellow engineers
Identifying, evaluating and integrating third party solutions when applicable
Refining, scoping and guiding requirements with product managers
Presenting and communicating internally and sometimes externally at meetups and hosted events
Participating in and guiding broader platform architecture design and decisions with fellow engineers and architects
Mentoring and coaching more junior engineers and participating in code and design reviews
B.Sc. or M.Sc. in Computer Science or equivalent
Solid background in elementary statistics and mathematics
Proficient in Java and Linux environments
Well versed in micro-service architectures and concepts such as service discovery, chassis, bounded contexts, and load balancing
Familiarity with information retrieval concepts such as VSM/TF-IDF, BM25, recall and ranking
Strong foundation in Web programming and application data formats and protocols
Experience developing within eventually consistent dual region systems
Basic knowledge of machine learning concepts in supervised and unsupervised machine learning
Proficient in Elasticsearch including deployment and monitoring
Professional Experience with Scala, Docker and Python
Previous experience developing search driven platforms and use cases at scale
Proficiency working with Big Data systems over HDFS such as Hadoop/Spark and/or Tensorflow
Experience with asynchronous paradigms such as Actor based and Reactive systems
Familiar with Nomad, Consul, and CI tools such as Jenkins, GiT, Maven, Gradle and SBT
API development and specification experience including concepts such as authentication, authorization and rate limiting
Comfortable debating their own ideas and those of others to arrive at correct decisions
Experience working with Openstack cloud computing

Maps Search Engineer Resume Examples & Samples

Experience developing high quality, high performance Server Software in Java or C++
Experience building Information Retrieval systems
Extensive experience with high-performance HTTP server architecture

Senior Search Engineer Resume Examples & Samples

Strong experience with Lucene, Solr and SolrCloud
Experience with programming in Java or Scala
Experience with scripting in Unix Shell, Python or Perl
Experience working with Big Data and NoSQL technologies like Spark, Storm, Hadoop, Cassandra
Written and oral communication skills on both technical and non-technical topics

Principal Search Engineer Resume Examples & Samples

Works in collaboration with Data Scientists to constantly optimize the performance of the search engine
Explores existing data for insights and recommends additional sources of data for improvements
Advanced knowledge of ElasticSearch/Solr/Lucene
Advanced knowledge of backend paradigms
Knowledge with vector space models, text classification and categorization
Experience as a technical leader who can identify risks, plan mitigation, and carry out plans
Able to respond and present work to peers, answer in-depth questions, accept constructive feedback, and modify product accordingly
5+ years’ experience with search engine technology
3+ years’ experience with big data, distributed processing, or high-performance computing

Search Engineer Resume Examples & Samples

Design and implementation of the search infrastructure
Knowledge of ElasticSearch/Solr/Lucene is a big plus
Understanding in Java server platform and system tuning is a plus
Implement high quality code in an agile software development environment
Education and Background
Bachelor or Master's Degree in Computer Science/Engineering, or equivalent experience

Siri Senior Search Engineer Resume Examples & Samples

Applied background in Hadoop preferred
Applied background in Python, Java or Go language required
Experience with search indexing, web crawling, ranking preferred
Fluency and experience working with text in one or more of the following languages: Japanese, Portuguese (Portuguese or Brazilian), Malay, Finnish, Thai, French, German, Spanish, Dutch, Korean, Hebrew, Arabic

Maps Search Engineer Resume Examples & Samples

Expertise and experience in various facets of machine learning and natural language processing, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling and ranking
Desire to solve challenging problems at the intersection of user experience and computational algorithms
Strong programming experience in one or more of the following: Java, C++, Python or equivalent
Hard working, self-starter with proven ability to manage multiple projects to strict deadlines
Excellent written and oral communication skills and ability to interact with all levels of researchers and engineers

Search Engineer Resume Examples & Samples

At least 3+ years of experience in working with and Managing Search Technologies Apache Solr / Lucene / ElasticSearch
At least 3 years of Search architecture experience using Solr, capacity planning and cluster maintenance
Must be very strong in Java/J2EE
Excellent Core Java, Spring, REST Web Services, JSON APIs, XML APIs skills with at least 3-5 years of experience
Experience with Solr deployments, Spring, Restful Web services
Elastic search experience is a plus
Experience with Big Data Tools is a plus
Setup and maintain Hadoop, Kafka experience is a plus

Search Engineer Resume Examples & Samples

Work on Search algorithm, web services, , search indexing, data mining, big data, Hadoop, deep learning, recommendations, and performance by developing a Search platform at Adobe that would power Adobe Clouds such as Creative Cloud, Document Cloud and Marketing Cloud
Apply data mining and machine learning to improve the ranking and recommendations as part of search work-flow
Build platform to index billions of images, documents and other assets in real-time
Maintain and optimize search engine, identify new ideas to evolve it, develop new features and benchmark possible solutions, in terms of search relevance, recommendations but also user experience, performance and feasibility
Build Search products using technologies such as Elastic Search, REST web services, SQS/Kafka, Machine Learning, and more

Lead Search Engineer Resume Examples & Samples

Document/text search skills in solr/elastic search/Lucene & Cassandra; or other NOSQL data stores e.g. Mango db, Greenplum or Hadoop
Decision Support and Data Mining systems
Scala and big data / machine learning technologies
Experience working across a distributed international environment
Partnering with and leading internal and geographically dispersed external technology resources in solving complex business needs
Complex organization/project planning, time management, and change management across multiple functional groups and departments utilizing tools to manage project progress, budget, and scope

Lead Search Engineer Resume Examples & Samples

Lead efforts across teams to design and implement major pieces of the Salesforce end-to-end search experience
Lead by example as a hands-on engineer, contributing tested, high quality, production ready code and providing detailed feedback in design and code reviews
Resolve complex technical issues and drive innovation that improves search scalability, relevancy, and user experience
Work closely with the rest of the technology leadership team, including development, quality engineering, product management, and technical operations to establish our technical strategy and communicate it to the executive team and externally
BS or higher degree in Computer Science or Electrical Engineering
Mastery of Java and experience developing and tuning highly available server-side applications
Knowledge and experience in developing highly scalable end-to-end software solutions
Experience building and improving highly concurrent distributed systems
Knowledge of SQL and of Oracle (or other database) internals
Ability to learn quickly and deliver high quality code in a fast-paced, dynamic team environment
Solr and/or Lucene experience
Always up to date with the latest technologies, industry practices, research, and trends

Principal Search Engineer Resume Examples & Samples

Partner with Business Units, Product Development, and Product Management teams to identify and work on high-impact projects utilizing big data analytics and machine learning techniques
Work with high dimensional and fast moving data to build adaptive learning systems, data science products and through your work have direct impact on revenue and bottom line
Be involved in all stages of a data science product development from definition, design, development and delivery
Research new ways for modeling and predicting relevancy and ranking strategies
Influence Staples go to market strategy by category, by business unit, and customer segment
Work with a wide array of structured and unstructured data sources including relational and NoSQL databases and formats including text, image and audio/video
Apply rigorous analytical methods and analyze levers that can drive growth and profitability across our product and services offerings
Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes
Define and assist on Search taxonomies/product catalogs/categorization
Maintain search features/data mapping diagrams
Develop and maintain scripts for information transforms applicable to Search
Apply customer funnel analysis on rigorous A/B testing
Data mining and analysis tools to optimize keyword search results
Test growth theories to make new customer acquisition work
Develop computational models combining variables such as frequency, word proximity, field weights to determine relevance and coverage
Develop and test semantic wording concepts using clickstream and events processing
Deploy, maintain and optimizing machine learning models in a production environment
Information retrieval, machine learning and natural language processing, such as text mining
Classification, information extraction, clustering, feature engineering, topic modeling and ranking and search relevance
MS/PhD in Engineering/Operations Research/Statistics or a related technical discipline
5 years of experience with data mining, machine learning, statistical modeling tools and underlying algorithms
3 years of experience developing applied Apache Lucene open source solutions such as Solr and/or Elasticsearch
3 years of programming experience in one of the languages like Python/R/Ruby/Perl/Shell/C/Java or equivalent
Minimum 5 years of relevant work experience in advanced analytics space Minimum 3 years of work experience in developing search relevancy and ranking algorithms
PreferredPHD with advanced mathematical training in mathematical modeling, statistical analysis, forecasting models and margin engineering (cross elasticity, demand curve modeling)
Demonstrated experience/SME in machine learning, statistical analysis and algorithm development including publications, patents and contributions to open source code
Expertise with building data science products from design to delivery Working with large data sets in distributed systems such as Hadoop, Teradata, etc