Top Tech Jobs & Startups Jobs

The Atlassian Confluence Administrator will provide IT support and maintain the configuration and administration of Atlassian Confluence. Responsibilities include troubleshooting technical issues, preparing knowledge base articles, evaluating add-ons, and collaborating with internal and external teams to ensure optimal performance and user satisfaction.

The role involves supervising a team of service experts, setting targets, managing resource allocation, supporting performance dialogues, and ensuring operational efficiency. The team leader will also engage in conflict management, drive continuous process improvements, and address quality assurance actions. Interaction with stakeholders and customers to manage expectations is key.

As a Traffic Coordinator, you will optimize freight costs and delivery efficiency by coordinating with logistics service providers, managing inbound and domestic traffic, ensuring customs compliance, filing damage claims, and supporting budget planning. You will also engage in performance tracking and liaise with various departments.

The Kinaxis RapidResponse Technical Consultant will work on transformation projects, designing and developing Kinaxis RapidResponse solutions, supporting business requirements gathering, participating in solution delivery, and collaborating with SAP S/4 HANA integration teams in an agile, multicultural environment.

As an Air Conditioning Sales Responsible, you will manage customer relations, promote Bosch AC products, develop a distribution network, and provide technical solutions in various commercial and residential projects. You'll work closely with sales and technical teams to identify business opportunities and keep your technical knowledge up to date.

The AI Architect will lead the architecture, design, and implementation of AI/ML/NLP/Computer Vision solutions. Responsibilities include managing large datasets, developing machine learning algorithms, and coordinating with cross-functional teams to enhance AI models. The role demands extensive experience in machine learning and cloud platforms while ensuring computational efficiency and scalability of models.

As a Senior Azure Data Engineer, you will work within a data engineering team focusing on Cloud Lakehouse technology, utilizing programming languages like Python and JavaScript, and applying Data Ops best practices. Responsibilities include designing and maintaining data pipelines and data stores, performing ETL processes, integrating data from various sources, and collaborating with teams to meet data quality requirements.