
51 - 200 employees
Founded 2006
đŒ Consulting
đŠ Logistics
đŁ Marketing
Consulting âą Logistics âą Marketing
HostPapa is a web hosting company that provides a variety of hosting solutions including shared web hosting, WordPress hosting, VPS hosting, and reseller hosting. They also offer additional services such as domain registration, website building tools, business email services, and security features like SSL certificates. HostPapa prides itself on its 24/7 award-winning customer support available globally, ensuring that customers receive assistance in their preferred language and timezone. With a focus on small businesses, HostPapa aims to empower customers to achieve their online goals with reliable and high-performance hosting services.
đ„ 2 minutes ago
Where this job comes from
Posted on HostPapa's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago

51 - 200 employees
Founded 2006
đŒ Consulting
đŠ Logistics
đŁ Marketing
Consulting âą Logistics âą Marketing
HostPapa is a web hosting company that provides a variety of hosting solutions including shared web hosting, WordPress hosting, VPS hosting, and reseller hosting. They also offer additional services such as domain registration, website building tools, business email services, and security features like SSL certificates. HostPapa prides itself on its 24/7 award-winning customer support available globally, ensuring that customers receive assistance in their preferred language and timezone. With a focus on small businesses, HostPapa aims to empower customers to achieve their online goals with reliable and high-performance hosting services.
âą Design, build, and evolve CloudBlueâs data and analytics platform âą Build and maintain a high-volume, high-performance data fabric, including real-time ingestion, data pipelines, storage, and analytics âą Own features end to end, from technical design and implementation through testing and production âą Drive AI adoption across the platform and develop AI-powered workflows and capabilities âą Design and integrate APIs connecting data, services, and business workflows across the CloudBlue ecosystem âą Work closely with engineers in small, cross-functional feature teams âą Collaborate with Product Managers and other CloudBlue teams to translate business needs into scalable technical solutions âą Ensure data quality, reliability, observability, and performance across production pipelines âą Partner with the Engineering Manager on professional growth and career development âą Support other tasks or projects as assigned to meet team and business needs
âą Strong professional software engineering experience, with a solid background in building data-intensive systems âą Extensive experience building data pipelines and data models, including production-scale data workloads âą Hands-on experience with Python âą Strong expertise with event-streaming technologies such as Kafka, NATS, Flink, or similar; streaming experience is essential âą Experience with cloud-native infrastructure such as Azure, AWS, or GCP âą Experience with containerized workloads using Docker and Kubernetes âą Solid understanding of data contracts, data quality, pipeline observability, and production SLOs âą Hands-on experience with AI-assisted development tools and genuine interest in applying AI to engineering problems and development workflows âą Strong experience designing and integrating APIs âą Solid knowledge of PostgreSQL and relational databases âą Experience with unit and end-to-end testing and building reliable, production-ready systems âą Professional working proficiency in English âą Familiarity with billing, finance, or usage-based/metered monetization is a plus âą Exposure to integrating LLMs or AI services, such as RAG, MCP, agent runtimes, Anthropic/OpenAI APIs, or similar technologies, is an advantage âą Experience with modern lakehouse or data federation patterns, such as Iceberg, Trino, or similar technologies, would be beneficial âą Candidates must respond to questions about production real-time streaming pipelines and AI engineering experience âą Willingness to participate in standard candidate verification steps, where permitted by applicable law âą Acknowledgment that employment history and application information may be verified âą The position is anticipated to be performed outside of Ontario
âą Competitive pay, benchmarked against the markets we hire in âą Room to grow, with real ownership of your work and support for professional development âą Flexibility in how and when you work, within the core hours your team needs âą Access to the AI tools you need to do your work, and the room to experiment with them âą Remote-first work âą Equal-opportunity employer âą Accommodations for people with disabilities at every stage of the hiring process
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