Architect

Wayfair; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A prominent e-commerce company is seeking a Senior Software Engineer to enhance their engineering organization in Bengaluru, India. This role involves developing high-scale backend platforms, managing APIs, and ensuring reliability within a cloud-native environment. Candidates should have over 10 years of experience, with strong skills in Java (Spring Boot) and cloud platforms like AWS or GCP. This position offers the opportunity to collaborate cross-functionally, mentor engineers, and influence technical direction in an Agile setting.

Qualifications

• 10+ years of experience building high-scale backend platforms and APIs.
• Strong background in cloud-native application design.
• Excellent communication and collaboration abilities.

Responsibilities

• Manage services that transmit user activity data to advertising partners.
• Develop scalable RESTful APIs and Spring Boot microservices.
• Enhance platform reliability and build monitoring dashboards.

Skills

Java (Spring Boot)

Python

RESTful API development

Microservices architecture

Cloud platforms (GCP, AWS, Azure)

Kafka

Stream processing (Flink, Spark Streaming)

Database management (SQL/NoSQL)

Observability tools (Datadog, Grafana)

Education

Bachelor’s or Master’s degree in Computer Science or related

Tools

Docker

Kubernetes

Job description

Overview

The Senior Software Engineer will be a vital member of Wayfair's engineering organization, contributing to the development and enhancement of a diverse portfolio of applications and systems. In this role, the Senior Software Engineer will work in close collaboration with engineering teams to produce high-quality code, contribute to key architectural decisions, and offer valuable technical guidance. This individual will play an important part in shaping the team's technical direction, proactively addressing potential technical challenges, and promoting a culture of continuous improvement within an Agile setting. This is an opportunity to engage in solving complex problems at scale and make a tangible impact on the customer experience and Wayfair's ongoing success.

Responsibilities

What You’ll Do

We are seeking a highly motivated Senior Software Engineer to join the Ad Signals team. This team is responsible for developing robust platforms and integrations that facilitate critical Marketing, Data Engineering, and Fraud Detection initiatives. Key responsibilities include managing services that transmit user activity data in a privacy safe approach to advertising partners, thereby ensuring precise ad targeting. Additionally, the team oversees services for tracking performance data downloads and marketing campaign information, which are instrumental in enhancing our data science models.

Build event-driven systems using Kafka, PubSub and real-time data streams, powering automated messaging, feedback loops, and decisioning workflows.

Develop and maintain scalable RESTful APIs and Spring Boot–based microservices, enabling integration across marketing automation systems, customer data pipelines, and external vendors.

Enhance platform reliability and observability by building monitoring dashboards, SLA enforcement metrics, and automated anomaly detection for throughput, latency, and deliverability.

Collaborate cross-functionally with Product, Data Science, and Marketing to define requirements, ensure system interoperability, and drive measurable impact in engagement and conversion.

Raise technical excellence by promoting best practices in backend architecture, distributed system design, API lifecycle management, and continuous integration/deployment.

Qualifications

We Are a Match Because You Have

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical discipline.

10+ years of experience building high-scale backend platforms and APIs for data-intensive or event-driven systems.

Strong command of Java (Spring Boot) and good working knowledge of Python , with deep understanding of object-oriented design, concurrency, and multithreaded programming.

Strong command of stream processing frameworks (Flink, Spark Streaming) or Pub/Sub architectures.

Proven experience developing RESTful APIs and microservices with Spring Boot, including authentication, routing, and observability integration.

Strong background in cloud-native application design — deploying and managing workloads on GCP, AWS, or Azure, leveraging Docker and Kubernetes for containerization.

Solid foundation in data modeling, SQL/NoSQL databases, and high-performance data access patterns.

Strong problem-solving, debugging, and optimization skills — with an emphasis on scalability, fault tolerance, and SLA-driven reliability.

Familiarity with observability tools (Datadog, Grafana) and distributed tracing for root-cause analysis.

Ability to mentor engineers, perform design/code reviews, and lead technical discussions across multiple workstreams.

Excellent communication and collaboration abilities across engineering, product, and analytics teams.

Nice to Have

Experience with LLM or GenAI applications (e.g., prompt orchestration, ranking pipelines, or creative optimization systems).

Knowledge of A/B testing infrastructure, experimentation frameworks, and message-governance pipelines.

Background in config-driven workflow automation, feature flagging, or API gateway management.