Top Tech Jobs & Startup Jobs

The Storage Engineer is responsible for implementing and managing Huawei storage and server products, providing technical support, assisting partners, handling project designs, and working closely with the sales team for solution demonstrations. The role requires extensive experience in server and storage systems, including problem analysis and project coordination.

The Customer Success Manager will assist customers in achieving success with SAAS solutions by developing success plans, providing training, conducting meetings, and offering product demos. They will analyze customer usage, create content, and seek upsell opportunities while ensuring strong relationships with customers.

The Project Manager will develop innovative SaaS solutions based on market research, analyze customer needs, prepare product roadmaps, and interact with customers on business and technical levels. They'll manage the team, support product integration, and collaborate with various stakeholders to ensure products meet business objectives.

The Data Annotator is responsible for labeling data across images, videos, and texts, ensuring quality in the data annotation process. This role involves meeting deadlines, conducting quality checks, and collaborating with Research Leaders to achieve team goals.

This role involves developing software using Java, leveraging the Spring framework, and enhancing skills in a global delivery project. The candidate will engage in Agile practices and is expected to have strong communication and programming abilities, particularly in a Linux environment, with additional knowledge in Microservices, Spark, Kafka, and front-end frameworks being advantageous.

The Test Engineering Manager will oversee the testing team, develop test strategies, and automate testing processes. Responsibilities include collaborating with cross-functional teams, identifying defects, and ensuring quality throughout the software development lifecycle. They will also support team members with technical difficulties and drive quality in new features.

The Big Data Solution Architect is responsible for analyzing customer requirements, designing solutions based on their needs, providing support during acceptance tests, and assisting in the delivery process of big data solutions.