1,686 Search jobs in India
Search Executive / Senior Search Executive
Posted today
Job Viewed
Job Description
Role / Profile:
- Executiion of SEO/Search Engine Marketing /PPC/Campaign
- Responsible for deliverables
- Day-to- day liaison with internal team on Campaign execution
- Tracks, analyzes and summarizes program results and progressly.
Skills Required:
- Detail-oriented
- Excellet verbal, written, and visual communication skills
- Analytical approach
Skills Required
Keyword Research, Content Optimization, Data Analysis, Link Building
Search Specialist
Posted 2 days ago
Job Viewed
Job Description
+ Bachelor's degree or equivalent practical experience.
+ 2 years of experience working with digital media or digital marketing/advertising solutions, implementing and measuring campaigns and providing client solutions.
**Preferred qualifications:**
+ 3 years of experience with Internet products and technologies.
+ Experience in data analysis, with the ability to interpret datasets, identify trends, and translate findings into compelling narratives.
+ Knowledge of apps platforms and products, the performance advertising market, or online ads landscape.
+ Ability to collaborate cross-functionally with multiple teams and stakeholders while building relationships.
+ Excellent project management skills, with the ability to oversee multiple, simultaneous solutions, supported by internal teams.
+ Excellent business communication, negotiation, and influencing skills.
gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.
Google creates products and services that make the world a better place, and gTech's role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers' complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video ( .
**Responsibilities:**
+ Advise Google Ads clients, leveraging digital marketing and tech solutions to address business issues, collaborate as a thought partner, design media plans, and deliver technical solutions to achieve business goals.
+ Build relationships with external advertisers to deliver business outcomes through Google Ads, supporting planning, pitching, implementation, and optimization to boost product adoption and business growth.
+ Collaborate with teams to drive growth plans for clients, develop and apply insights for vertical and sub-verticals in solutions offered.
+ Deliver consultative digital marketing solutions that address issues and enhance the customer's experience.
+ Advocate new product features, assist with adoption through setup, and provide technical guidance for infrastructure and data integration in Google Ads.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Search Engineer
Posted 4 days ago
Job Viewed
Job Description
Responsibilities
∙Design & implement search solutions : Architect and develop advanced search features using
OpenSearch/Elasticsearch, including custom analysers, tokenisers, and scoring algorithms.
∙Index & template management : Create and maintain index templates, mappings, and
lifecycle policies to ensure data integrity, performance, and scalability.
∙Query pipeline development : Build and optimise custom query builders and search pipelines
tailored to complex business requirements.
∙AI/ML/LLM powered search : Leveraging LLMs and AI for data enrichment and improved
search relevance.
∙API development : Develop and maintain robust, scalable APIs for search using Python
(FastAPI).
∙Testing & quality assurance : Lead efforts in integration, regression, and performance testing
to ensure reliability and accuracy of search features.
∙DevOps & automation : Automate deployment and management of search infrastructure,
including index templates and search pipelines.
∙Collaboration : Work closely with data engineers and product teams to deliver high-quality
search experiences.
Requirements
∙5+ years experience with Elasticsearch or OpenSearch in production environments.
∙Experience with AI/LLM-based search experiences such as RAG, learning to rank and query
understanding.
∙Expert level expertise in Python , with experience building APIs (preferably FastAPI).
∙Deep understanding of search concepts: analysers, tokenisers, relevance tuning, custom
scoring, and query DSL.
∙Experience with index template management , lifecycle policies, and large-scale data
modelling.
∙Proficiency in designing and optimising search pipelines and custom query builders.
∙Must have practical hands-on experience developing software using AI-assisted tools and
workflows such as Cursor, Co-pilot,and Windsurf
∙Strong testing background : integration, regression, and performance testing.
∙DevOps skills : automation, CI/CD, and cloud infrastructure (AWS preferred).
∙Excellent communication and collaboration skills.
∙Experience with S3, AWS Lambda, and cloud-native architectures.
Why you’ll love it:
∙Green-field impact—architect the backbone of our data engine from the ground up.
∙Remote-first flexibility—work anywhere in India and set core hours that suit your life.
∙Small senior team—less bureaucracy, quicker decisions, visible results.
∙A collaborative, innovative, and supportive team culture.
Ready to build pipelines that power world’s smartest B2B sales intelligence platform? Apply
now—let’s talk!
Search engineer
Posted today
Job Viewed
Job Description
Responsibilities ∙Design & implement search solutions: Architect and develop advanced search features using Open Search/Elasticsearch, including custom analysers, tokenisers, and scoring algorithms. ∙Index & template management: Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability. ∙Query pipeline development: Build and optimise custom query builders and search pipelines tailored to complex business requirements. ∙AI/ML/LLM powered search: Leveraging LLMs and AI for data enrichment and improved search relevance. ∙API development: Develop and maintain robust, scalable APIs for search using Python (Fast API). ∙Testing & quality assurance: Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features. ∙Dev Ops & automation: Automate deployment and management of search infrastructure, including index templates and search pipelines. ∙Collaboration: Work closely with data engineers and product teams to deliver high-quality search experiences. Requirements ∙5+ years experience with Elasticsearch or Open Search in production environments. ∙Experience with AI/LLM-based search experiences such as RAG, learning to rank and query understanding. ∙Expert level expertise in Python, with experience building APIs (preferably Fast API). ∙Deep understanding of search concepts: analysers, tokenisers, relevance tuning, custom scoring, and query DSL. ∙Experience with index template management, lifecycle policies, and large-scale data modelling. ∙Proficiency in designing and optimising search pipelines and custom query builders. ∙Must have practical hands-on experience developing software using AI-assisted tools and workflows such as Cursor, Co-pilot,and Windsurf ∙Strong testing background: integration, regression, and performance testing. ∙Dev Ops skills: automation, CI/CD, and cloud infrastructure (AWS preferred). ∙Excellent communication and collaboration skills. ∙Experience with S3, AWS Lambda, and cloud-native architectures. Why you’ll love it:∙Green-field impact—architect the backbone of our data engine from the ground up. ∙Remote-first flexibility—work anywhere in India and set core hours that suit your life. ∙Small senior team—less bureaucracy, quicker decisions, visible results. ∙A collaborative, innovative, and supportive team culture. Ready to build pipelines that power world’s smartest B2 B sales intelligence platform? Apply now—let’s talk!
Search engineer
Posted today
Job Viewed
Job Description
Responsibilities ∙Design & implement search solutions: Architect and develop advanced search features using Open Search/Elasticsearch, including custom analysers, tokenisers, and scoring algorithms. ∙Index & template management: Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability. ∙Query pipeline development: Build and optimise custom query builders and search pipelines tailored to complex business requirements. ∙AI/ML/LLM powered search: Leveraging LLMs and AI for data enrichment and improved search relevance. ∙API development: Develop and maintain robust, scalable APIs for search using Python (Fast API). ∙Testing & quality assurance: Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features. ∙Dev Ops & automation: Automate deployment and management of search infrastructure, including index templates and search pipelines. ∙Collaboration: Work closely with data engineers and product teams to deliver high-quality search experiences. Requirements ∙5+ years experience with Elasticsearch or Open Search in production environments. ∙Experience with AI/LLM-based search experiences such as RAG, learning to rank and query understanding. ∙Expert level expertise in Python, with experience building APIs (preferably Fast API). ∙Deep understanding of search concepts: analysers, tokenisers, relevance tuning, custom scoring, and query DSL. ∙Experience with index template management, lifecycle policies, and large-scale data modelling. ∙Proficiency in designing and optimising search pipelines and custom query builders. ∙Must have practical hands-on experience developing software using AI-assisted tools and workflows such as Cursor, Co-pilot,and Windsurf ∙Strong testing background: integration, regression, and performance testing. ∙Dev Ops skills: automation, CI/CD, and cloud infrastructure (AWS preferred). ∙Excellent communication and collaboration skills. ∙Experience with S3, AWS Lambda, and cloud-native architectures. Why you’ll love it:∙Green-field impact—architect the backbone of our data engine from the ground up. ∙Remote-first flexibility—work anywhere in India and set core hours that suit your life. ∙Small senior team—less bureaucracy, quicker decisions, visible results. ∙A collaborative, innovative, and supportive team culture. Ready to build pipelines that power world’s smartest B2 B sales intelligence platform? Apply now—let’s talk!
Search engineer
Posted today
Job Viewed
Job Description
Responsibilities ∙Design & implement search solutions: Architect and develop advanced search features using Open Search/Elasticsearch, including custom analysers, tokenisers, and scoring algorithms. ∙Index & template management: Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability. ∙Query pipeline development: Build and optimise custom query builders and search pipelines tailored to complex business requirements. ∙AI/ML/LLM powered search: Leveraging LLMs and AI for data enrichment and improved search relevance. ∙API development: Develop and maintain robust, scalable APIs for search using Python (Fast API). ∙Testing & quality assurance: Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features. ∙Dev Ops & automation: Automate deployment and management of search infrastructure, including index templates and search pipelines. ∙Collaboration: Work closely with data engineers and product teams to deliver high-quality search experiences. Requirements ∙5+ years experience with Elasticsearch or Open Search in production environments. ∙Experience with AI/LLM-based search experiences such as RAG, learning to rank and query understanding. ∙Expert level expertise in Python, with experience building APIs (preferably Fast API). ∙Deep understanding of search concepts: analysers, tokenisers, relevance tuning, custom scoring, and query DSL. ∙Experience with index template management, lifecycle policies, and large-scale data modelling. ∙Proficiency in designing and optimising search pipelines and custom query builders. ∙Must have practical hands-on experience developing software using AI-assisted tools and workflows such as Cursor, Co-pilot,and Windsurf ∙Strong testing background: integration, regression, and performance testing. ∙Dev Ops skills: automation, CI/CD, and cloud infrastructure (AWS preferred). ∙Excellent communication and collaboration skills. ∙Experience with S3, AWS Lambda, and cloud-native architectures. Why you’ll love it:∙Green-field impact—architect the backbone of our data engine from the ground up. ∙Remote-first flexibility—work anywhere in India and set core hours that suit your life. ∙Small senior team—less bureaucracy, quicker decisions, visible results. ∙A collaborative, innovative, and supportive team culture. Ready to build pipelines that power world’s smartest B2 B sales intelligence platform? Apply now—let’s talk!
Search engineer
Posted today
Job Viewed
Job Description
Responsibilities ∙Design & implement search solutions: Architect and develop advanced search features using Open Search/Elasticsearch, including custom analysers, tokenisers, and scoring algorithms. ∙Index & template management: Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability. ∙Query pipeline development: Build and optimise custom query builders and search pipelines tailored to complex business requirements. ∙AI/ML/LLM powered search: Leveraging LLMs and AI for data enrichment and improved search relevance. ∙API development: Develop and maintain robust, scalable APIs for search using Python (Fast API). ∙Testing & quality assurance: Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features. ∙Dev Ops & automation: Automate deployment and management of search infrastructure, including index templates and search pipelines. ∙Collaboration: Work closely with data engineers and product teams to deliver high-quality search experiences. Requirements ∙5+ years experience with Elasticsearch or Open Search in production environments. ∙Experience with AI/LLM-based search experiences such as RAG, learning to rank and query understanding. ∙Expert level expertise in Python, with experience building APIs (preferably Fast API). ∙Deep understanding of search concepts: analysers, tokenisers, relevance tuning, custom scoring, and query DSL. ∙Experience with index template management, lifecycle policies, and large-scale data modelling. ∙Proficiency in designing and optimising search pipelines and custom query builders. ∙Must have practical hands-on experience developing software using AI-assisted tools and workflows such as Cursor, Co-pilot,and Windsurf ∙Strong testing background: integration, regression, and performance testing. ∙Dev Ops skills: automation, CI/CD, and cloud infrastructure (AWS preferred). ∙Excellent communication and collaboration skills. ∙Experience with S3, AWS Lambda, and cloud-native architectures. Why you’ll love it:∙Green-field impact—architect the backbone of our data engine from the ground up. ∙Remote-first flexibility—work anywhere in India and set core hours that suit your life. ∙Small senior team—less bureaucracy, quicker decisions, visible results. ∙A collaborative, innovative, and supportive team culture. Ready to build pipelines that power world’s smartest B2 B sales intelligence platform? Apply now—let’s talk!
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Search engineer
Posted today
Job Viewed
Job Description
Responsibilities ∙Design & implement search solutions: Architect and develop advanced search features using Open Search/Elasticsearch, including custom analysers, tokenisers, and scoring algorithms. ∙Index & template management: Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability. ∙Query pipeline development: Build and optimise custom query builders and search pipelines tailored to complex business requirements. ∙AI/ML/LLM powered search: Leveraging LLMs and AI for data enrichment and improved search relevance. ∙API development: Develop and maintain robust, scalable APIs for search using Python (Fast API). ∙Testing & quality assurance: Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features. ∙Dev Ops & automation: Automate deployment and management of search infrastructure, including index templates and search pipelines. ∙Collaboration: Work closely with data engineers and product teams to deliver high-quality search experiences. Requirements ∙5+ years experience with Elasticsearch or Open Search in production environments. ∙Experience with AI/LLM-based search experiences such as RAG, learning to rank and query understanding. ∙Expert level expertise in Python, with experience building APIs (preferably Fast API). ∙Deep understanding of search concepts: analysers, tokenisers, relevance tuning, custom scoring, and query DSL. ∙Experience with index template management, lifecycle policies, and large-scale data modelling. ∙Proficiency in designing and optimising search pipelines and custom query builders. ∙Must have practical hands-on experience developing software using AI-assisted tools and workflows such as Cursor, Co-pilot,and Windsurf ∙Strong testing background: integration, regression, and performance testing. ∙Dev Ops skills: automation, CI/CD, and cloud infrastructure (AWS preferred). ∙Excellent communication and collaboration skills. ∙Experience with S3, AWS Lambda, and cloud-native architectures. Why you’ll love it:∙Green-field impact—architect the backbone of our data engine from the ground up. ∙Remote-first flexibility—work anywhere in India and set core hours that suit your life. ∙Small senior team—less bureaucracy, quicker decisions, visible results. ∙A collaborative, innovative, and supportive team culture. Ready to build pipelines that power world’s smartest B2 B sales intelligence platform? Apply now—let’s talk!
Search engineer
Posted today
Job Viewed
Job Description
Responsibilities ∙Design & implement search solutions: Architect and develop advanced search features using Open Search/Elasticsearch, including custom analysers, tokenisers, and scoring algorithms. ∙Index & template management: Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability. ∙Query pipeline development: Build and optimise custom query builders and search pipelines tailored to complex business requirements. ∙AI/ML/LLM powered search: Leveraging LLMs and AI for data enrichment and improved search relevance. ∙API development: Develop and maintain robust, scalable APIs for search using Python (Fast API). ∙Testing & quality assurance: Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features. ∙Dev Ops & automation: Automate deployment and management of search infrastructure, including index templates and search pipelines. ∙Collaboration: Work closely with data engineers and product teams to deliver high-quality search experiences. Requirements ∙5+ years experience with Elasticsearch or Open Search in production environments. ∙Experience with AI/LLM-based search experiences such as RAG, learning to rank and query understanding. ∙Expert level expertise in Python, with experience building APIs (preferably Fast API). ∙Deep understanding of search concepts: analysers, tokenisers, relevance tuning, custom scoring, and query DSL. ∙Experience with index template management, lifecycle policies, and large-scale data modelling. ∙Proficiency in designing and optimising search pipelines and custom query builders. ∙Must have practical hands-on experience developing software using AI-assisted tools and workflows such as Cursor, Co-pilot,and Windsurf ∙Strong testing background: integration, regression, and performance testing. ∙Dev Ops skills: automation, CI/CD, and cloud infrastructure (AWS preferred). ∙Excellent communication and collaboration skills. ∙Experience with S3, AWS Lambda, and cloud-native architectures. Why you’ll love it:∙Green-field impact—architect the backbone of our data engine from the ground up. ∙Remote-first flexibility—work anywhere in India and set core hours that suit your life. ∙Small senior team—less bureaucracy, quicker decisions, visible results. ∙A collaborative, innovative, and supportive team culture. Ready to build pipelines that power world’s smartest B2 B sales intelligence platform? Apply now—let’s talk!
Search engineer
Posted today
Job Viewed
Job Description
Responsibilities ∙Design & implement search solutions: Architect and develop advanced search features using Open Search/Elasticsearch, including custom analysers, tokenisers, and scoring algorithms. ∙Index & template management: Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability. ∙Query pipeline development: Build and optimise custom query builders and search pipelines tailored to complex business requirements. ∙AI/ML/LLM powered search: Leveraging LLMs and AI for data enrichment and improved search relevance. ∙API development: Develop and maintain robust, scalable APIs for search using Python (Fast API). ∙Testing & quality assurance: Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features. ∙Dev Ops & automation: Automate deployment and management of search infrastructure, including index templates and search pipelines. ∙Collaboration: Work closely with data engineers and product teams to deliver high-quality search experiences. Requirements ∙5+ years experience with Elasticsearch or Open Search in production environments. ∙Experience with AI/LLM-based search experiences such as RAG, learning to rank and query understanding. ∙Expert level expertise in Python, with experience building APIs (preferably Fast API). ∙Deep understanding of search concepts: analysers, tokenisers, relevance tuning, custom scoring, and query DSL. ∙Experience with index template management, lifecycle policies, and large-scale data modelling. ∙Proficiency in designing and optimising search pipelines and custom query builders. ∙Must have practical hands-on experience developing software using AI-assisted tools and workflows such as Cursor, Co-pilot,and Windsurf ∙Strong testing background: integration, regression, and performance testing. ∙Dev Ops skills: automation, CI/CD, and cloud infrastructure (AWS preferred). ∙Excellent communication and collaboration skills. ∙Experience with S3, AWS Lambda, and cloud-native architectures. Why you’ll love it:∙Green-field impact—architect the backbone of our data engine from the ground up. ∙Remote-first flexibility—work anywhere in India and set core hours that suit your life. ∙Small senior team—less bureaucracy, quicker decisions, visible results. ∙A collaborative, innovative, and supportive team culture. Ready to build pipelines that power world’s smartest B2 B sales intelligence platform? Apply now—let’s talk!