Top Tech Jobs & Startup Jobs

The Manager of Technical Operations is responsible for overseeing customer requirements, managing Global IT Operations, and providing direction to the delivery team in a 24x7 support environment. The role requires building relationships with customers, resource management, and ensuring operational excellence while implementing process improvements and proposing technological solutions.

The Cloud Engineer will work with Microsoft teams to ensure standards are met, train application development teams, define cloud strategy, develop governance, collaborate with security teams, consult on cloud components, and architect cloud environments.

The Data Analyst role involves providing analytical reports for supply chain metrics, utilization of Machine Learning in Python within Power Platform, building web apps in Power Apps, and creating visualizations using Power BI. The analyst will support master data accuracy and drive data-based strategic decision-making across teams.

The Cloud Architect will design cloud architecture, focusing on cloud-native principles and cloud service provider APIs. Responsibilities include performing enterprise-level cloud migration, developing infrastructure solutions, and utilizing Agile methodologies and DevOps practices. The role also involves collaboration with analysts and assisting in presales activities.

The Cloud Architect will design architecture for migrating on-premises workloads to the cloud, ensuring quality and performance while developing microservices and event architecture solutions. The role involves designing CI/CD release vehicles using Azure Pipelines and providing post-deployment support for various applications.

The Database Administrator oversees the technical scoping and design throughout the project lifecycle, manages database schema, ensures security and integrity, and optimizes deployment architecture. They collaborate with cross-functional teams to meet business requirements, manage development processes, and contribute to technical standards.

The Big Data Engineer will design and implement big data pipelines, develop Hadoop batch jobs, and ensure data processing and performance optimization. Responsibilities also include client interaction for architectural requirements, and contributing to the setup of automated build processes using Jenkins and Ansible.