Resume and JobRESUME AND JOB
Wayfair logo

Senior Software Engineer, Customer Technology

Wayfair

Senior Software Engineer, Customer Technology

Wayfair logo

Wayfair

full-time

Posted: December 7, 2025

Number of Vacancies: 1

Job Description

Senior Software Engineer, Customer Technology

Location: Bangalore, India

Department: Full Stack Engineering

Team: Engineering & Technology

About the Role

Wayfair's Senior Software Engineer, Customer Technology role in Bangalore focuses on Java ML Engineering for Communications Intelligence & Platform Systems, with emphasis on warehouse and logistics operations. The position involves operationalizing ML models from Data Science teams using robust MLOps practices, including CI/CD pipelines, model versioning, monitoring, rollback strategies, feature engineering, ETL orchestration, and automating workflows to support real-time decisioning in supply chain communications. Engineers will manage full model deployment lifecycles, ensuring scalability, reliability, and observability for services integrated into Wayfair's logistics platforms. Key responsibilities include designing and building large-scale, event-driven notification systems delivering intelligent communications across channels like email, push, SMS, and chat with sub-second latency. This supports Wayfair's e-commerce operations by enabling personalized, timely updates on order tracking, inventory availability, delivery scheduling, and warehouse fulfillment status. The role demands expertise in production-grade systems tailored to high-volume logistics environments, contributing to operational efficiency in Wayfair's global supply chain. Ideal candidates bring deep Java experience, MLOps proficiency, and a passion for scalable platforms that enhance customer experience in warehouse and logistics contexts. This full-stack engineering position in the Customer Technology department offers opportunities to impact Wayfair's core operations through advanced ML-driven communications intelligence.

Key Responsibilities

  • Operationalize and deploy ML models using MLOps practices including CI/CD, versioning, monitoring, and rollback
  • Perform feature engineering and orchestrate ETL processes for data pipelines
  • Manage model deployment lifecycles for production reliability and scalability
  • Build large-scale communication platforms for event-driven notifications
  • Ensure sub-second latency in delivery systems across email, push, SMS, chat
  • Integrate model-driven services into communication decisioning systems
  • Design personalization platforms supporting Wayfair's logistics operations
  • Automate machine learning workflows for warehouse and supply chain intelligence
  • Maintain observability and monitoring for logistics communication systems

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 5+ years of experience in software engineering with Java
  • Strong experience in MLOps practices including CI/CD pipelines and model deployment
  • Proficiency in ETL processes and data processing pipelines
  • Experience with large-scale distributed systems and microservices
  • Knowledge of machine learning workflows and feature engineering
  • Ability to design scalable platforms with low-latency requirements
  • Experience in production-grade reliability and observability

Preferred Qualifications

  • Experience in communications platforms (email, SMS, push notifications)
  • Background in personalization and event-driven systems
  • Familiarity with Wayfair's logistics and supply chain operations
  • Prior work in e-commerce warehouse optimization technologies

Required Skills

  • Java programming expertise
  • MLOps and CI/CD pipelines
  • Machine learning model deployment
  • ETL and data pipeline orchestration
  • Feature engineering
  • Microservices architecture
  • Low-latency system design
  • Event-driven architectures
  • Observability and monitoring tools
  • Scalable distributed systems
  • Communication platforms (SMS, email, push)
  • Cloud platforms (AWS/GCP)
  • Problem-solving and analytical thinking
  • Collaboration in cross-functional teams
  • Logistics and operations domain knowledge

Benefits

  • Competitive salary and performance-based incentives
  • Comprehensive health insurance and wellness programs
  • Flexible work arrangements including remote options
  • Professional development and learning stipends
  • Stock options and employee stock purchase plan
  • Generous parental leave and family benefits
  • On-site amenities and transportation support in Bangalore
  • Team-building events and collaborative culture

Wayfair is an equal opportunity employer committed to diversity and inclusion.

Locations

  • Bangalore, India

Salary

Estimated Salary Rangemedium confidence

45,000 - 75,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Java programming expertiseintermediate
  • MLOps and CI/CD pipelinesintermediate
  • Machine learning model deploymentintermediate
  • ETL and data pipeline orchestrationintermediate
  • Feature engineeringintermediate
  • Microservices architectureintermediate
  • Low-latency system designintermediate
  • Event-driven architecturesintermediate
  • Observability and monitoring toolsintermediate
  • Scalable distributed systemsintermediate
  • Communication platforms (SMS, email, push)intermediate
  • Cloud platforms (AWS/GCP)intermediate
  • Problem-solving and analytical thinkingintermediate
  • Collaboration in cross-functional teamsintermediate
  • Logistics and operations domain knowledgeintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field (experience)
  • 5+ years of experience in software engineering with Java (experience)
  • Strong experience in MLOps practices including CI/CD pipelines and model deployment (experience)
  • Proficiency in ETL processes and data processing pipelines (experience)
  • Experience with large-scale distributed systems and microservices (experience)
  • Knowledge of machine learning workflows and feature engineering (experience)
  • Ability to design scalable platforms with low-latency requirements (experience)
  • Experience in production-grade reliability and observability (experience)

Preferred Qualifications

  • Experience in communications platforms (email, SMS, push notifications) (experience)
  • Background in personalization and event-driven systems (experience)
  • Familiarity with Wayfair's logistics and supply chain operations (experience)
  • Prior work in e-commerce warehouse optimization technologies (experience)

Responsibilities

  • Operationalize and deploy ML models using MLOps practices including CI/CD, versioning, monitoring, and rollback
  • Perform feature engineering and orchestrate ETL processes for data pipelines
  • Manage model deployment lifecycles for production reliability and scalability
  • Build large-scale communication platforms for event-driven notifications
  • Ensure sub-second latency in delivery systems across email, push, SMS, chat
  • Integrate model-driven services into communication decisioning systems
  • Design personalization platforms supporting Wayfair's logistics operations
  • Automate machine learning workflows for warehouse and supply chain intelligence
  • Maintain observability and monitoring for logistics communication systems

Benefits

  • general: Competitive salary and performance-based incentives
  • general: Comprehensive health insurance and wellness programs
  • general: Flexible work arrangements including remote options
  • general: Professional development and learning stipends
  • general: Stock options and employee stock purchase plan
  • general: Generous parental leave and family benefits
  • general: On-site amenities and transportation support in Bangalore
  • general: Team-building events and collaborative culture

Target Your Resume for "Senior Software Engineer, Customer Technology" , Wayfair

Get personalized recommendations to optimize your resume specifically for Senior Software Engineer, Customer Technology. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Software Engineer, Customer Technology" , Wayfair

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

WayfairFull Stack EngineeringEngineering & TechnologyBangaloreFull Stack Engineering

Related Jobs You May Like

No related jobs found at the moment.

Wayfair logo

Senior Software Engineer, Customer Technology

Wayfair

Senior Software Engineer, Customer Technology

Wayfair logo

Wayfair

full-time

Posted: December 7, 2025

Number of Vacancies: 1

Job Description

Senior Software Engineer, Customer Technology

Location: Bangalore, India

Department: Full Stack Engineering

Team: Engineering & Technology

About the Role

Wayfair's Senior Software Engineer, Customer Technology role in Bangalore focuses on Java ML Engineering for Communications Intelligence & Platform Systems, with emphasis on warehouse and logistics operations. The position involves operationalizing ML models from Data Science teams using robust MLOps practices, including CI/CD pipelines, model versioning, monitoring, rollback strategies, feature engineering, ETL orchestration, and automating workflows to support real-time decisioning in supply chain communications. Engineers will manage full model deployment lifecycles, ensuring scalability, reliability, and observability for services integrated into Wayfair's logistics platforms. Key responsibilities include designing and building large-scale, event-driven notification systems delivering intelligent communications across channels like email, push, SMS, and chat with sub-second latency. This supports Wayfair's e-commerce operations by enabling personalized, timely updates on order tracking, inventory availability, delivery scheduling, and warehouse fulfillment status. The role demands expertise in production-grade systems tailored to high-volume logistics environments, contributing to operational efficiency in Wayfair's global supply chain. Ideal candidates bring deep Java experience, MLOps proficiency, and a passion for scalable platforms that enhance customer experience in warehouse and logistics contexts. This full-stack engineering position in the Customer Technology department offers opportunities to impact Wayfair's core operations through advanced ML-driven communications intelligence.

Key Responsibilities

  • Operationalize and deploy ML models using MLOps practices including CI/CD, versioning, monitoring, and rollback
  • Perform feature engineering and orchestrate ETL processes for data pipelines
  • Manage model deployment lifecycles for production reliability and scalability
  • Build large-scale communication platforms for event-driven notifications
  • Ensure sub-second latency in delivery systems across email, push, SMS, chat
  • Integrate model-driven services into communication decisioning systems
  • Design personalization platforms supporting Wayfair's logistics operations
  • Automate machine learning workflows for warehouse and supply chain intelligence
  • Maintain observability and monitoring for logistics communication systems

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 5+ years of experience in software engineering with Java
  • Strong experience in MLOps practices including CI/CD pipelines and model deployment
  • Proficiency in ETL processes and data processing pipelines
  • Experience with large-scale distributed systems and microservices
  • Knowledge of machine learning workflows and feature engineering
  • Ability to design scalable platforms with low-latency requirements
  • Experience in production-grade reliability and observability

Preferred Qualifications

  • Experience in communications platforms (email, SMS, push notifications)
  • Background in personalization and event-driven systems
  • Familiarity with Wayfair's logistics and supply chain operations
  • Prior work in e-commerce warehouse optimization technologies

Required Skills

  • Java programming expertise
  • MLOps and CI/CD pipelines
  • Machine learning model deployment
  • ETL and data pipeline orchestration
  • Feature engineering
  • Microservices architecture
  • Low-latency system design
  • Event-driven architectures
  • Observability and monitoring tools
  • Scalable distributed systems
  • Communication platforms (SMS, email, push)
  • Cloud platforms (AWS/GCP)
  • Problem-solving and analytical thinking
  • Collaboration in cross-functional teams
  • Logistics and operations domain knowledge

Benefits

  • Competitive salary and performance-based incentives
  • Comprehensive health insurance and wellness programs
  • Flexible work arrangements including remote options
  • Professional development and learning stipends
  • Stock options and employee stock purchase plan
  • Generous parental leave and family benefits
  • On-site amenities and transportation support in Bangalore
  • Team-building events and collaborative culture

Wayfair is an equal opportunity employer committed to diversity and inclusion.

Locations

  • Bangalore, India

Salary

Estimated Salary Rangemedium confidence

45,000 - 75,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Java programming expertiseintermediate
  • MLOps and CI/CD pipelinesintermediate
  • Machine learning model deploymentintermediate
  • ETL and data pipeline orchestrationintermediate
  • Feature engineeringintermediate
  • Microservices architectureintermediate
  • Low-latency system designintermediate
  • Event-driven architecturesintermediate
  • Observability and monitoring toolsintermediate
  • Scalable distributed systemsintermediate
  • Communication platforms (SMS, email, push)intermediate
  • Cloud platforms (AWS/GCP)intermediate
  • Problem-solving and analytical thinkingintermediate
  • Collaboration in cross-functional teamsintermediate
  • Logistics and operations domain knowledgeintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field (experience)
  • 5+ years of experience in software engineering with Java (experience)
  • Strong experience in MLOps practices including CI/CD pipelines and model deployment (experience)
  • Proficiency in ETL processes and data processing pipelines (experience)
  • Experience with large-scale distributed systems and microservices (experience)
  • Knowledge of machine learning workflows and feature engineering (experience)
  • Ability to design scalable platforms with low-latency requirements (experience)
  • Experience in production-grade reliability and observability (experience)

Preferred Qualifications

  • Experience in communications platforms (email, SMS, push notifications) (experience)
  • Background in personalization and event-driven systems (experience)
  • Familiarity with Wayfair's logistics and supply chain operations (experience)
  • Prior work in e-commerce warehouse optimization technologies (experience)

Responsibilities

  • Operationalize and deploy ML models using MLOps practices including CI/CD, versioning, monitoring, and rollback
  • Perform feature engineering and orchestrate ETL processes for data pipelines
  • Manage model deployment lifecycles for production reliability and scalability
  • Build large-scale communication platforms for event-driven notifications
  • Ensure sub-second latency in delivery systems across email, push, SMS, chat
  • Integrate model-driven services into communication decisioning systems
  • Design personalization platforms supporting Wayfair's logistics operations
  • Automate machine learning workflows for warehouse and supply chain intelligence
  • Maintain observability and monitoring for logistics communication systems

Benefits

  • general: Competitive salary and performance-based incentives
  • general: Comprehensive health insurance and wellness programs
  • general: Flexible work arrangements including remote options
  • general: Professional development and learning stipends
  • general: Stock options and employee stock purchase plan
  • general: Generous parental leave and family benefits
  • general: On-site amenities and transportation support in Bangalore
  • general: Team-building events and collaborative culture

Target Your Resume for "Senior Software Engineer, Customer Technology" , Wayfair

Get personalized recommendations to optimize your resume specifically for Senior Software Engineer, Customer Technology. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Software Engineer, Customer Technology" , Wayfair

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

WayfairFull Stack EngineeringEngineering & TechnologyBangaloreFull Stack Engineering

Related Jobs You May Like

No related jobs found at the moment.