Top Tech Jobs & Startup Jobs in Bengaluru

As a Staff Backend Engineer at eBay, you'll design and develop software solutions, ensuring high-quality, maintainable code. You'll lead projects, mentor team members, and collaborate with cross-functional teams, while managing E2E testing and serving technical guidance to improve engineering efficiency.

As a Senior Backend Engineer at eBay, you will build and maintain scalable systems, develop production code, implement test automation, and lead multiple subsystems while ensuring high quality and efficiency in a distributed environment.

Responsible for designing, developing, testing, and deploying backend systems while providing technical guidance and mentoring team members. Collaborates with cross-functional teams to optimize features for continuous delivery, ensuring high-quality outcomes. Leads project execution and resolves engineering challenges.

The Staff Backend Engineer will design, develop, and maintain robust software systems, providing technical guidance and improving engineering velocity while collaborating with teams to deliver innovative solutions.

Develop scalable solutions for eBay's Risk product using Java, collaborate with cross-functional teams, lead design discussions, and ensure platform trust.

Lead architectural vision and technical strategy for risk engineering, ensuring scalable, intelligent systems while mentoring teams and driving modernization efforts.

As a Senior Backend Engineer at eBay, you'll influence future recommender systems, develop AI models for real-time recommendations, and work with large data sets.

The role involves designing, implementing, and maintaining a graph database for SEO-related pages. Responsibilities include optimizing data models, developing automated pipelines, and creating RESTful APIs while ensuring system performance and data integrity.

As a Backend Software Engineer, you will design, develop, and maintain scalable software solutions, ensuring high-quality code and improving delivery velocity. Your role includes mentoring, project management, and collaboration with cross-functional teams to drive innovation.

The role involves analyzing eCommerce product data, optimizing taxonomy and ontology using SQL and Python, and evaluating AI/ML models. It includes strong collaboration with AI/ML teams and requires product analytics skills for data-driven insights.