Senior Search Engineer

Slikk at a glance

Founded in 2024

50 - 200

Senior Search Engineer

Slikk

Bangalore4-8 Years

Apply to Slikk

Apply to Slikk

About Slikk

Slikk is a Series A fashion quick-commerce startup based in Bangalore, building a new way to shop for fashion - fast, discovery-led, and on-demand.

We deliver curated apparel, accessories, and lifestyle products from leading and emerging brands to customers' doorsteps in under 60 minutes. Designed for Gen Z and young urban consumers, Slikk combines feed-based discovery, AI-driven personalization, and hyperlocal logistics to enable high-frequency, impulse-driven shopping.

Our platform integrates real-time inventory, dark store operations, and last-mile delivery to make fashion commerce as instant as food and grocery. Features like Try & Buy and instant refunds reduce friction and build trust in online fashion purchases.

Backed by Nexus Venture Partners and Lightspeed, we are scaling rapidly across categories including fashion, beauty, and accessories while building a high-ownership, execution-driven culture with fast decision-making and low process overhead.

About Company

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Job Description

Function: Software Engineering → Other Software Development

• Elasticsearch
• OpenSearch
• Search
• Solr
  
  

Responsibilities:

• Search Infrastructure Ownership: Own the search platform end-to-end, including: Indexing and data modelling, Query understanding and interpretation, Retrieval mechanisms, ML-powered ranking systems, Result serving infrastructure.
• Real-Time Indexing and Data Pipelines: Develop and maintain real-time indexing pipelines to synchronise: Inventory updates, Pricing changes, Product catalogue modifications from dark stores. Ensure search indices remain fresh and accurate to support quick-commerce operations.
• Ranking and Personalisation: Design and optimise ranking algorithms that incorporate: Product relevance, User personalisation signals, Inventory availability, Business and merchandising rules. Continuously improve ranking quality to maximise engagement and conversion.
• Discovery Experience: Build and enhance discovery capabilities beyond traditional search, including Personalized feeds, Category ranking systems, Similar product recommendations, and "Complete the Look" experiences
• Experimentation and Performance Optimisation: Implement A/B testing frameworks to evaluate and improve search experiences. Define, monitor, and optimise key search quality metrics, including MRR (Mean Reciprocal Rank), NDCG (Normalised Discounted Cumulative Gain), CTR (Click-Through Rate), and Conversion Rate. Optimise systems to maintain P95 latency below 200 milliseconds.
  
  

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5-7 years of experience building production-grade Search/Information Retrieval (IR) systems, preferably in e-commerce environments.
• Strong expertise in Elasticsearch/OpenSearch, including: Index design, Custom analyzers, Query DSL, and Performance tuning and optimisation.
• Hands-on experience with Machine Learning ranking techniques, such as Learning-to-Rank (LTR), XGBoost, LightGBM, and feature engineering.
• Experience with embedding-based retrieval systems, including: FAISS and HNSW.
• Strong programming proficiency in Python.
• Solid understanding of Natural Language Processing (NLP) concepts for query understanding, including: Tokenisation, Entity extraction, and Intent classification.
• Experience working with real-time indexing technologies, such as Kafka and CDC (Change Data Capture).
• Familiarity with search quality experimentation and evaluation frameworks.
  
  

Why Explore a Career at Slikk

Build at Hyper Speed

Work in one of India's fastest growing lifestyle and quick commerce brands where ideas turn into products instantly.

High Ownership Culture

Every role has real impact, real autonomy and the freedom to lead projects from concept to execution.

Innovation First Mindset

Use AI, motion design, product thinking and creative problem solving to shape the future of instant shopping.

Create for Millions

Design and build experiences used daily by Gen Z and young professionals in fast moving cities.

Work With Energy and Intent

Join a team that values hustle, ambition, bold thinking and a bias for action in everything we do.

Career at Slikk

Why Explore a Career at Slikk

Slikk Interview Process

• Resume screening
• 1-3 interviews (virtual/in-person)
• Final discussion
  
  

Benefits at Slikk

0 && (!isOpenedInMobile || showSections.benefits)" class="profile-content benefits-container ng-scope">

At Slikk

• you’ll grow fast
• take end-to-end ownership
• and build high-impact products with a fast-moving
• execution-driven team.
  
  

Slikk's Tech Stack

0 && (!isOpenedInMobile || showSections.techStack)" class="profile-content ng-scope">

• Next.js
• React.js
• React Native
• Django
• Python
• Elasticsearch
• AWS
• Bigquey
• PostgreSQL
• Redis
  
  

Job posted by

Sai Sandesh

Recruiter

at Target HR

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Job Description

Function: Software Engineering → Other Software Development

• Elasticsearch
• OpenSearch
• Search
• Solr
  
  

Responsibilities:

• Search Infrastructure Ownership: Own the search platform end-to-end, including: Indexing and data modelling, Query understanding and interpretation, Retrieval mechanisms, ML-powered ranking systems, Result serving infrastructure.
• Real-Time Indexing and Data Pipelines: Develop and maintain real-time indexing pipelines to synchronise: Inventory updates, Pricing changes, Product catalogue modifications from dark stores. Ensure search indices remain fresh and accurate to support quick-commerce operations.
• Ranking and Personalisation: Design and optimise ranking algorithms that incorporate: Product relevance, User personalisation signals, Inventory availability, Business and merchandising rules. Continuously improve ranking quality to maximise engagement and conversion.
• Discovery Experience: Build and enhance discovery capabilities beyond traditional search, including Personalized feeds, Category ranking systems, Similar product recommendations, and "Complete the Look" experiences
• Experimentation and Performance Optimisation: Implement A/B testing frameworks to evaluate and improve search experiences. Define, monitor, and optimise key search quality metrics, including MRR (Mean Reciprocal Rank), NDCG (Normalised Discounted Cumulative Gain), CTR (Click-Through Rate), and Conversion Rate. Optimise systems to maintain P95 latency below 200 milliseconds.
  
  

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5-7 years of experience building production-grade Search/Information Retrieval (IR) systems, preferably in e-commerce environments.
• Strong expertise in Elasticsearch/OpenSearch, including: Index design, Custom analyzers, Query DSL, and Performance tuning and optimisation.
• Hands-on experience with Machine Learning ranking techniques, such as Learning-to-Rank (LTR), XGBoost, LightGBM, and feature engineering.
• Experience with embedding-based retrieval systems, including: FAISS and HNSW.
• Strong programming proficiency in Python.
• Solid understanding of Natural Language Processing (NLP) concepts for query understanding, including: Tokenisation, Entity extraction, and Intent classification.
• Experience working with real-time indexing technologies, such as Kafka and CDC (Change Data Capture).
• Familiarity with search quality experimentation and evaluation frameworks.
  
  

Why Explore a Career at Slikk

Build at Hyper Speed

Work in one of India's fastest growing lifestyle and quick commerce brands where ideas turn into products instantly.

High Ownership Culture

Every role has real impact, real autonomy and the freedom to lead projects from concept to execution.

Innovation First Mindset

Use AI, motion design, product thinking and creative problem solving to shape the future of instant shopping.

Create for Millions

Design and build experiences used daily by Gen Z and young professionals in fast moving cities.

Work With Energy and Intent

Join a team that values hustle, ambition, bold thinking and a bias for action in everything we do.

Career at Slikk

Why Explore a Career at Slikk

Slikk Interview Process

• Resume screening
• 1-3 interviews (virtual/in-person)
• Final discussion
  
  

Benefits at Slikk

0 && (!isOpenedInMobile || showSections.benefits)" class="profile-content benefits-container ng-scope">

At Slikk

• you’ll grow fast
• take end-to-end ownership
• and build high-impact products with a fast-moving
• execution-driven team.
  
  

Slikk's Tech Stack

0 && (!isOpenedInMobile || showSections.techStack)" class="profile-content ng-scope">

• Next.js
• React.js
• React Native
• Django
• Python
• Elasticsearch
• AWS
• Bigquey
• PostgreSQL
• Redis
  
  

Slikk is a Series A fashion quick-commerce startup based in Bangalore, building a new way to shop for fashion - fast, discovery-led, and on-demand.

We deliver curated apparel, accessories, and lifestyle products from leading and emerging brands to customers' doorsteps in under 60 minutes. Designed for Gen Z and young urban consumers, Slikk combines feed-based discovery, AI-driven personalization, and hyperlocal logistics to enable high-frequency, impulse-driven shopping.

Our platform integrates real-time inventory, dark store operations, and last-mile delivery to make fashion commerce as instant as food and grocery. Features like Try & Buy and instant refunds reduce friction and build trust in online fashion purchases.

Backed by Nexus Venture Partners and Lightspeed, we are scaling rapidly across categories including fashion, beauty, and accessories while building a high-ownership, execution-driven culture with fast decision-making and low process overhead.

Responsibilities:

• Search Infrastructure Ownership: Own the search platform end-to-end, including: Indexing and data modelling, Query understanding and interpretation, Retrieval mechanisms, ML-powered ranking systems, Result serving infrastructure.
• Real-Time Indexing and Data Pipelines: Develop and maintain real-time indexing pipelines to synchronise: Inventory updates, Pricing changes, Product catalogue modifications from dark stores. Ensure search indices remain fresh and accurate to support quick-commerce operations.
• Ranking and Personalisation: Design and optimise ranking algorithms that incorporate: Product relevance, User personalisation signals, Inventory availability, Business and merchandising rules. Continuously improve ranking quality to maximise engagement and conversion.
• Discovery Experience: Build and enhance discovery capabilities beyond traditional search, including Personalized feeds, Category ranking systems, Similar product recommendations, and "Complete the Look" experiences
• Experimentation and Performance Optimisation: Implement A/B testing frameworks to evaluate and improve search experiences. Define, monitor, and optimise key search quality metrics, including MRR (Mean Reciprocal Rank), NDCG (Normalised Discounted Cumulative Gain), CTR (Click-Through Rate), and Conversion Rate. Optimise systems to maintain P95 latency below 200 milliseconds.
  
  

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5-7 years of experience building production-grade Search/Information Retrieval (IR) systems, preferably in e-commerce environments.
• Strong expertise in Elasticsearch/OpenSearch, including: Index design, Custom analyzers, Query DSL, and Performance tuning and optimisation.
• Hands-on experience with Machine Learning ranking techniques, such as Learning-to-Rank (LTR), XGBoost, LightGBM, and feature engineering.
• Experience with embedding-based retrieval systems, including: FAISS and HNSW.
• Strong programming proficiency in Python.
• Solid understanding of Natural Language Processing (NLP) concepts for query understanding, including: Tokenisation, Entity extraction, and Intent classification.
• Experience working with real-time indexing technologies, such as Kafka and CDC (Change Data Capture).
• Familiarity with search quality experimentation and evaluation frameworks.
  
  

Build at Hyper Speed

Work in one of India's fastest growing lifestyle and quick commerce brands where ideas turn into products instantly.

High Ownership Culture

Every role has real impact, real autonomy and the freedom to lead projects from concept to execution.

Innovation First Mindset

Use AI, motion design, product thinking and creative problem solving to shape the future of instant shopping.

Create for Millions

Design and build experiences used daily by Gen Z and young professionals in fast moving cities.

Work With Energy and Intent

Join a team that values hustle, ambition, bold thinking and a bias for action in everything we do.

• Resume screening
• 1-3 interviews (virtual/in-person)
• Final discussion
  
  

At Slikk

• you’ll grow fast
• take end-to-end ownership
• and build high-impact products with a fast-moving
• execution-driven team.
• Next.js
• React.js
• React Native
• Django
• Python
• Elasticsearch
• AWS
• Bigquey
• PostgreSQL
• Redis
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