Senior Data Engineer

Job description

Welcome to Managed.com Careers Managed.com is the company behind a family of specialist brands in business technology, infrastructure, and channel commerce, including HostPapa, ColoCrossing, Hostopia, CloudBlue, and LogoMaker. Each serves its own market, and together we're helping businesses build, operate, and grow in the AI era. We're a remote-first, global team, and AI is part of how we work. We look for practical ways to use it across the business to solve problems, improve how work gets done, and make more time for higher-value work. Our culture is built on trust, respect, and doing work that matters to our customers. And because our brands are part of one company, there are opportunities to grow into new roles, teams, and areas of the business. You'll find our open positions to the left. Take a look and apply for the role that fits you best. We look forward to hearing from you. Senior Data Engineer Remote Full Time Global Engineering Experienced Share 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 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 expertise with event-streaming technologies such as Kafka, NATS, Flink, or similar. This is a real-time platform, so streaming experience is essential Experience working with cloud-native infrastructure such as Azure, AWS, or GCP, as well as containerized workloads using Docker and Kubernetes Solid understanding of data contracts, data quality, pipeline observability, and production SLOs Hands-on experience with AI-assisted development tools, along with a genuine interest in applying AI to solve engineering problems and streamline development workflows Strong experience designing and integrating APIs Solid knowledge of PostgreSQL and relational databases Experience with unit and end-to-end testing and building reliable, production-ready systems Professional working proficiency in English, with the ability to collaborate effectively in a distributed, international environment Familiarity with billing, finance, or usage-based/metered monetization is a plus Exposure to integrating LLMs or AI services, such as RAG, MCP, agent runtimes, Anthropic/OpenAI APIs, or similar technologies, is an advantage Experience with modern lakehouse or data federation patterns, such as Iceberg, Trino, or similar technologies, would be beneficial What we offer: Remote-first work, with team members across many countries Competitive pay, benchmarked against the markets we hire in Room to grow, with real ownership of your work and support for professional development Flexibility in how and when you work, within the core hours your team needs Access to the AI tools you need to do your work, and the room to experiment with them About us: Managed.com is the company behind a family of specialist brands spanning business technology, infrastructure, and channel commerce. These include HostPapa, ColoCrossing, Hostopia, CloudBlue, and LogoMaker. Each brand serves its market through its own products and customer experience. Together, we are bringing those strengths closer to create more connected experiences and help businesses build, operate, and grow in the AI era. Our culture is built on trust, respect, and doing work that matters to our customers. As our brands come together, there's real room to grow into new roles and new areas of the business. Managed.com is an equal-opportunity employer. We value the range of backgrounds, perspectives, and experiences across our team, and we hire and promote based on skills and contribution. We're committed to providing accommodations for people with disabilities at every stage of the hiring process. If you need an accommodation, let us know, and we'll work with you to meet your needs. It is anticipated that this position will be performed outside of Ontario. Share Apply for this position Required * First Name * Last Name * Email Address * Phone * Address Resume * We've received your resume. Click here to update it. Attach resume or Paste resume Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) or Paste resume Paste your resume here or Attach resume file Cover Letter LinkedIn Profile URL: * What languages do you speak fluently? * Desired salary * Earliest start date? * Can you work weekends? Can you work evenings? Have you personally designed, built, and deployed real-time data streaming pipelines in a production environment (not just batch processing)? If yes, which technologies did you use (Kafka, Flink, NATS, etc.), and what was your specific contribution? * How have you used AI in your engineering work, both to build or integrate AI-powered solutions into production systems and to improve your development workflow? Please mention the tools and technologies used * Are you willing to participate in standard candidate verification steps as part of our hiring process, where permitted by applicable law? * Do you acknowledge that, if you move forward in the process, managed.com may verify your employment history and other application information in accordance with applicable laws and our hiring practices? * Are you currently residing in a country within the European Union (EU)? * Submit Application