About the position
As a Staff Software Engineer in the eCommerce Search domain, you will lead the development of advanced search functionalities, ensuring robust and efficient performance. You will mentor junior engineers and drive technical innovation, collaborating closely with stakeholders to deliver impactful search solutions that enhance user engagement and business outcomes. The Search ML Infrastructure team owns the foundational data pipelines, ML serving infrastructure, evaluation platforms, and experimentation frameworks that enable search and ML capabilities across all international markets.
Responsibilities
- Leading the work of other small groups engineers, including offshore associates, for assigned Engineering projects by providing pertinent documents, direction, and examples.
- Identifying short- and long-term solutions and timeline; reviewing and approving proposed solutions; implementing new architectural patterns; and performing design and code reviews of changes.
- Troubleshooting business and production issues by reviewing and analyzing information; engaging support teams to assist in the resolution of issues; formulating an action plan; directing actions as designated in the plan.
- Leading the discovery phase of medium to large projects to come up with high level design by partnering with product management, design, project management, business and user experience teams.
- Developing Innovation strategies, processes, and best practices by leading internal technical teams; partnering with cross-functional teams across the business.
- Driving the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities.
Requirements
- 7+ years of contributing high-quality code to production systems that operate at scale.
- Experience in building n-tier highly scalable, fault tolerant, reactive Microservices using Java/Scala, and RESTful architecture.
- Experience in machine learning, Chat GPT or similar platforms, scikit-learn, TensorFlow/Pytorch.
- Good understanding of Java, Spring Boot, and experience working with distributed systems and teams.
- Ability to build products with focus on testability, someone who loves test coverage (well versed with Mockito and JUnit).
- Good understanding of Kubernetes, Helm, microservice architecture and design, and best practices around multithreading, networking, offline storage, and performance tuning.
- Experience designing optimization algorithms in Search and Personalization platform.
Nice-to-haves
- Experience with refactoring/redesigning/rewriting existing applications.
- Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area.
- Knowledge of accessibility best practices and implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.
Benefits
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO
- Multiple health plans
- Performance-based bonus awards
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Live Better U education benefit program
