Top Tech Jobs & Startup Jobs

As an AI Build Engineer at Rackspace, you will work with a small team to build and market AI products using AWS technologies. You will develop initial platforms, finalize alpha products, and create demonstrable solutions in an agile environment, working both independently and collaboratively.

The Business Operations Analyst IV supports billing and invoicing for Rackspace's largest customer. Responsibilities include revenue analysis, expense tracking, financial forecasting, and managing projects from start to finish. The role requires advanced financial knowledge and excellent communication skills to support both external and internal stakeholders.

As a Lead Engineer, you will oversee cloud infrastructure and DevOps management, ensuring efficiency, security, and collaboration. Your responsibilities include designing network architectures, optimizing DevOps processes, and implementing security best practices. You will lead a technical team and manage IT system administration for both Linux and Windows environments, while utilizing tools like Jira for project management.

The Head of Events for Private Cloud manages trade shows and industry events, from strategy to logistics, collaborating with multiple departments to align with corporate marketing. Responsibilities include event logistics, stakeholder communication, and adhering to security policies.

The Lead Platform Enterprise Architect will design, implement, and optimize multi-cloud solutions for enterprise customers, leading transformations across Azure, AWS, and Google Cloud. Responsibilities include engaging with stakeholders, delivering architecture solutions, mentoring junior architects, and fostering a culture of innovation within the team.

The Lead AppDev Enterprise Architect will guide enterprise customers in designing and optimizing multi-cloud solutions, focusing on cloud-native applications and architecture best practices. The role combines technical expertise with strategic insights to drive cloud transformation, mentorship of junior staff, and innovation in cloud application delivery.

The Practice Director will lead the Data Engineering and AI/ML practice, managing customer engagements and focusing on Data Modernization. Responsibilities include strategic planning, team leadership, guidance on data solutions, and operational management while ensuring excellence and innovation in delivery.