Senior Software Engineer (Backend)

TL;DR

Senior Software Engineer (Backend): Designing and implementing scalable backend services, data pipelines, and distributed system integrations with an accent on data platform architecture and AI-driven infrastructure. Focus on optimizing high-throughput connections, enhancing system observability, and solving complex data scaling challenges.

Location: Remote (Canada)

Company

A leading SaaS go-to-market solution for revenue teams, providing verified B2B contact data and automation tools for millions of users globally.

What you will do

• Design and implement highly scalable backend services, data pipelines, and integration endpoints performing at high volume.
• Own the connections layer and distributed architecture to keep the platform reliably linked to the broader ecosystem.
• Drive the full software development lifecycle, including requirements gathering, architecture design, and maintenance.
• Build comprehensive observability systems with proper monitoring, alerting, and dashboards.
• Mentor other engineers on technical best practices and share knowledge across the organization.
• Collaborate with cross-functional stakeholders to align on product and engineering requirements.

Requirements

• Minimum 5 years of industry experience in backend development.
• 1-2 years of experience in senior positions developing large-scale applications.
• Proven experience with distributed web applications and database modeling (SQL or NoSQL).
• Strong knowledge of computer science fundamentals, including data structures and algorithms.
• Must be based in Canada.
• Proven experience leveraging AI tools to enhance software development processes and productivity.

Nice to have

• BS or MS degree in Computer Science or Computer Engineering.
• Experience with GCP, Kubernetes, Docker, MongoDB, or Redis.
• Knowledge of Ruby on Rails and Microservices architecture.
• Experience with Machine Learning.

Culture & Benefits

• AI-native culture focused on continuous improvement and leveraging automation for productivity.
• Environment based on extreme ownership, focus, urgency, and voracious learning.
• Deep investment in employee growth with high levels of autonomy and impact.
• Strongly collaborative "all for one" team culture across departments.
• Encouragement of bold ideas, experimentation, and courageous action.