Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 26d ago
The date the source published, not the day we noticed it (2026-10-07). Last seen at its source 2h ago.
We have tracked this listing since 18 Oct 2026 (15 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
JazzHR employer's own board first seen 15d ago · last seen 2h ago
The listing
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.