Senior Platform Engineer

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Platform Engineer based in Canada. As a Senior Platform Engineer, you will design, build, and operate the backend systems that power a next-generation marketing technology platform. You will take ownership of critical infrastructure, including query execution, journey orchestration, and data delivery, ensuring reliable and scalable performance as the business grows. Working across distributed systems, cloud data warehouses, APIs, and real-time data capabilities, you will solve complex engineering challenges with measurable customer impact. You will play a key role in strengthening platform reliability, security, observability, and operational efficiency while helping shape the evolution of AI-powered marketing products. This role offers significant autonomy in a fast-paced, founder-led environment where engineers are encouraged to experiment, challenge assumptions, and deliver meaningful results. You will collaborate with highly technical teammates, contribute to architectural decisions, and help raise engineering standards through mentorship and knowledge sharing. Ideal for an experienced backend engineer passionate about emerging AI technologies, this opportunity combines technical ownership, continuous learning, and the chance to build systems used by leading global brands. Accountabilities - Design and develop backend systems: Build, maintain, and operate scalable backend services that move data from cloud warehouse queries to downstream systems, supporting reliable data processing and delivery. - Optimize platform performance: Improve how services ingest events, execute queries, transform results, and coordinate data delivery, with a focus on correctness, speed, scalability, and operational simplicity.

- Build APIs and integrations: Develop and maintain APIs and integrations across major cloud data warehouses, contributing to the platform's evolution toward real-time data processing and capabilities. - Own production systems end to end: Take responsibility for services throughout their lifecycle, from design and implementation to deployment, monitoring, maintenance, and incident response. - Ensure reliability and operational excellence: Participate in the on-call rotation, troubleshoot production incidents, coordinate service restoration, communicate with relevant stakeholders, and implement improvements that prevent recurring issues. - Strengthen security and observability: Identify and resolve issues affecting platform security, reliability, performance, and maintainability as the infrastructure scales. - Develop shared engineering tools: Create reusable components, automation, documentation, and developer tools that reduce repetitive work and improve engineering team productivity. - Leverage AI and emerging technologies: Integrate AI tools into daily engineering workflows to improve development speed and quality, while contributing to the development of machine learning and agentic AI products. - Collaborate and mentor: Provide thoughtful code reviews, share technical context, mentor fellow engineers, communicate proactively, and help establish engineering practices that support high-quality delivery. - Drive customer-focused outcomes: Investigate customer challenges, identify practical solutions, and validate their effectiveness through testing, measurement, and continuous improvement. Requirements - Professional experience: At least 5 years of professional software engineering experience building, deploying, and maintaining production systems, with strong expertise in Python and backend development. - Backend and distributed systems expertise: Demonstrated experience designing, building, and scaling backend services and distributed architectures, including ownership of systems throughout their production lifecycle.