Position Summary:
At managed.com, we're a remote-first, general 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 global 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 with Python
Strong expertis

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