Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team’s hybrid work schedule requirements.

Who We Are:

Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently. At Wayfair we are well on the way to becoming the world’s number one, online destination for all things home. Our core belief is that everyone should live in a home they love. We make this possible by ensuring our 24 million customers have all the technology and innovation they need at their fingertips, to give them access to our more than 33 million products which are provided by our 23,000 awesome global suppliers.

Bengaluru is home to our brand new, strategic technology delivery center and will be critical to achieving our future growth plans. We are looking for best in class Engineers to come in and help scale our technical products and teams alike as we continue on our path to be the world’s number one online destination for the home. As one of the early members of the team here in our strategic technology delivery center, you will partner closely with our technology and business leaders from around the world to help build the platform to support our growth plans to $50B USD and beyond in the next 3 to 5 years.

The team in the Bengaluru delivery center can work across multiple domains that drive speed and convenience for the customer and cost efficiency across the full value chain. The work we do at Wayfair means we have to move quickly, collaborating with the best and brightest engineers, creatives, product managers, data scientists, and analysts to discover, build, and scale world-class software products.

If you love to solve real business problems at scale, in a fast-paced, high growth and agile environment, this is the role for you!

What You’ll Do:

• Take complex engineering problems, design appropriate solutions, and deliver them fairly independently with limited oversight.
• Work on a variety of technologies – from large batch processes using Apache Beam and Spark, to event-based systems using Kafka, K8s, and Flink to robust REST APIs.
• Architect and implement robust, well-tested services. Provide technical design and code reviews for peers within your team and across the broader Growth and Ad Platforms org.
• Provide insights into opportunity areas for the platform, influencing priorities and team roadmaps in close partnership with Engineering and Product leadership.
• Be a multiplier, mentor other engineers on the team, and help them become more productive and implement engineering best practices.
• Promote a culture of engineering excellence, up-leveling the technical expertise of engineers across Growth and Ad Platforms org.

We Are a Match Because You Have:

• 3+ years of experience in software engineering and designing systems at scale.
• Experience developing applications using technologies such as Java, Spring Boot, SQL, and React.
• Experience with Google Cloud Services such as PubSub, Dataflow, and Dataproc would be a plus.
• Experience with Continuous Integration (CI/CD) practices and tools.
• Strong verbal and written communication skills.
• Ability to work effectively with engineers, product managers, and business stakeholders alike.
• Experience mentoring engineers and leading code reviews.
• A track record of delivering in increments and learning as you go.

Technical Architect

Bengaluru is home to our brand new, strategic technology delivery center and will be critical to achieving our future growth plans. We are looking for best in class Engineers to come in and help scale our technical products and teams alike as we continue on our path to be the world’s number one online destination for the home. As one of the early members of the team here in our strategic technology delivery center, you will partner closely with our technology and business leaders from around the world to help build the platform to support our growth plans to $50B USD and beyond in the next 3 to 5 years.

The team in the Bengaluru delivery center can work across multiple domains that drive speed and convenience for the customer and cost efficiency across the full value chain. The work we do at Wayfair means we have to move quickly, collaborating with the best and brightest engineers, creatives, product managers, data scientists, and analysts to discover, build, and scale world-class software products.

If you love to solve real business problems at scale, in a fast-paced, high growth and agile environment, this is the role for you!

What You Will Do:

• Be a visionary leader providing guidance and mentorship to your team and across the organization on Java microservice development and best practices
• Motivate and influence teams to buy into team vision and quarterly roadmap, pushing individuals outside of their comfort zones where necessary
• Drive high-impact architectural solutions and hands-on development, including inception, design, execution, and delivery following good design and coding practices
• Flex your strength and knowledge on Java, DevOps, and microservice development.
• Define and ensure services are built to industry best practices, including observability, architectural patterns, and inter-team dependency mechanisms (like SLOs)
• Work closely with architects and other teams across Storefront to breakdown an existing PHP monolith into well defined Java Microservices with clean boundaries and clear API contracts
• Architect and write code to implement high-quality, scalable, future-proof services that will have effective system boundaries and will support long-term vision & strategy
• Obsessively focus on production readiness for the team including testing, monitoring, deployment, documentation, and proactive troubleshooting
• Work closely with product managers, designers, and peer engineering teams to define project requirements and execution plans
• Provide visibility into team results and bottlenecks, and drive data-driven action plans
• Work within an Agile culture to foster continuous improvement at the team and departmental level
• Proven success in mentoring junior engineers to improve standards and reduce defects in dynamic environments

What you bring to the table

• 10+ years of experience in engineering, with a preference for candidates with a mix of start-up and large-company experience
• eComm domain expertise is a bonus
• Hands-on experience driving software transformations within high-growth environments at scale
• Mastery in cross-functional consensus building and influencing without given authority
• Experienced in architecting and building large-scale, cloud-based, and event-driven systems across various projects
• Successful background in designing production systems at scale including fault tolerance, reliability, performance, and security
• Excellent communication skills with demonstrated experience driving teams forward and ability to influence results

Technology Requirements

• GCP target cloud platform, experience with AWS/Azure at scale
• Distributed microservice architectures with well architected domain boundaries
• High volume async messaging architectures
• Large scale relational and NoSQL style data stores
• Deep understanding of data processing and data pipelines.
• Common open source platforms, tools and framework, eg: Kafka, Kubernetes, Containerization, Java microservices, GraphQL APIs, Aerospike etc

Data Engineer II (ML Engineering)

Wayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfair’s Data Science Marketing team builds algorithmic systems that drive our business, enhance customer experience, and improve customer loyalty. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that improve our customer understanding and marketing decisions.

What you’ll do:

• Own and contribute to the ML Pipeline development lifecycle from Data wrangling, feature development, training and tuning ML model with Data Scientist, deploy and manage the Inference Pipeline.
• Develop a reusable code and pattern to scale the ML Pipeline to new business use cases and create a self service platform.
• Partner closely with the ML Platform team, Infrastructure team, and similar teams to ensure the Data science org has the data, computing resources, and workflows/abstractions needed to do our best work.
• Create jobs for human annotations on 3rd party vendors like LabelBox, Snorkel, etc. Partner with them to support new features as needed.
• Define and advance MLOps best practices within data science, engineering and Platforms teams.
• Contribute to SME initiative and code review in support of spreading best practices

We Are a Match Because You Have:

• 6+ years experience as a ML Engineer with strong engineering skills and a passion for working on turning reference implementations into production-ready software.
• Proficiency in at least one high-level programming language (Python, Java, Scala or equivalent) used both for ML and automation tasks.
• Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)
• Hands-on experience building scalable ML & big data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark and GCP cloud services such as DataProc, BigQuery, GCS etc.
• Experience with automated data pipeline and workflow management tools, i.e. Airflow.
• Experience with basic software engineering tools, e.g., git, CI/CD environment (such as Jenkins or Buildkite), PyPi, Docker, Kubernetes, unit testing, and general object-oriented design.

It’s Great if You Have:

• Masters or Bachelors in Computer Science / Operations Research / Statistics or other quantitative fields
• Experience with common ML frameworks/libraries such as Vowel wabbit, Tensorflow, PyTorch is preferred.
• Experience with Kubernetes and micro-services is preferred.
• Experience with Cloud Services such as GCP AI Platform.
• Deploying and scaling ML solutions using open-source frameworks (MLFlow, TFX, H2O, etc.)

Software Engineer III, SMART

The Growth & Ad Platforms Engineering team is responsible for building Wayfair’s class leading, data centric technology platform that optimizes and powers all of Wayfair’s paid advertising. It touches hundreds of millions of consumers and drives billions of dollars in annual revenue. Our platforms allow us to scale our marketing efforts efficiently by automating key processes, interacting with ad vendors in real time and leveraging hundreds of terabytes of data and ML algorithms for optimization and effective decision making on millions of items in our catalog.The types of systems built by this team range from low latency REST APIs, to real time streaming systems to high performance large scale batch systems.

What You’ll Do:

• Take complex engineering problems, design appropriate solutions and deliver on them fairly independently with limited oversight.
• Work on a variety of technologies – from large batch processes using Apache Beam and Spark, to event based systems using Kafka, K8s and Flink to robust REST APIs .
• Architect and implement robust, well-tested services. Provide technical design and code reviews for peers within your team and across the broader Growth & Ad Platforms org.
• Provide insights into opportunity areas for the platform, influencing priorities and team roadmaps in close partnership with Engineering and Product leadership.
• Be a multiplier, mentor other engineers on the team and help them become more productive and implement engineering best practices.
• Promote a culture of engineering excellence, up-leveling the technical expertise of engineers across Growth & Ad Platforms org.

What you’ll Need:

• 6+ years of experience in software engineering and designing systems at scale.
• Experience developing applications using technologies such as Java, Spring Boot, SQL and React
• Experience with Google Cloud Services such as PubSub, Dataflow and Dataproc would be a plus
• Experience with Continuous Integration (CI/CD) practices and tools.
• Strong verbal and written communication skills.
• Ability to work effectively with engineers, product managers, and business stakeholders alike
• Experience mentoring engineers and leading code reviews.
• A track record of delivering in increments and learning as you go