Position Summary:
At managed.com, we're a remote-first, global team. We're also AI-first, so finding practical ways to use AI is part of every role here
This role focuses on CloudBlue, a managed.com business that powers cloud commerce for many of the world’s largest service providers, including major Telcos, distributors, and MSPs. CloudBlue enables partners to monetize and manage cloud services and subscriptions at scale, combining the agility of a high-growth business with the backing of a integral organization.
As the Senior Data Engineer, you will help design, build, and evolve CloudBlue’s data and analytics platform, with a strong focus on AI-driven capabilities. You will build scalable data infrastructure and help embed AI into backend services, APIs, and business workflows across our cloud-native SaaS platform.
What you'll do
• Build and maintain a high-volume, high-performance data fabric, including real-time ingestion, data pipelines, storage, and analytics
• Own features end to end, from technical design and implementation through testing and production




• Drive the adoption of AI across the platform and develop AI-powered workflows and capabilities
• Design and integrate APIs that connect data, services, and business workflows across the CloudBlue ecosystem
• Work closely with engineers in small, cross-functional feature teams
• Collaborate with Product Managers and other CloudBlue teams to translate business needs into scalable technical solutions
• Help ensure data quality, reliability, observability, and performance across production pipelines
• Partner with your Engineering Manager on professional growth and career development
• Support other tasks or projects as assigned to meet team and business needs

About you
• Strong professional software engineering experience, with a solid background in building data-intensive systems
• Extensive experience building data pipelines and data models, including production-scale data workloads
• Hands-on experience wi

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