Senior Software Engineer, R&D Business Systems

Responsibilities

• Lead development of custom system solutions, tools, and dashboards supporting R&D operations and data flow across the feature development lifecycle.
• Design and maintain bidirectional integrations between Jira, Zendesk, Salesforce, and other GTM and G&A systems.
• Build and maintain AI agents and internal tools that help engineering managers, product managers, and leadership access data, draft technical requirements and designs, synthesize customer feedback, and align with OKRs.
• Design and build production-grade backend services and integration workflows in Python and TypeScript.
• Define API contracts, data models, and integration patterns with emphasis on reliability, idempotency, and security.
• Write tested code with unit, integration, and end-to-end test coverage.
• Own observability, operational readiness, and production support for internal tools and data pipelines.
• Build maintainable React-based internal applications with strong UX, accessibility, and performance practices.
• Use AI assistants and coding agents such as Claude Code for incident resolution, feature development, testing, investigations, and documentation.
• Create technical documentation for integrations, data models, and deployed systems.
• Build, maintain, and govern self-service analytics dashboards using Sigma and Looker Studio.

Requirements

• 5+ years of software industry experience solving complex systems engineering problems.
• Experience designing and developing reusable backend and frontend libraries and experimentation platforms from scratch.
• Experience developing integrations with REST and GraphQL APIs, webhooks, and modern programming or scripting languages including Python and Java.
• Experience deploying systems with modern CI/CD practices and ensuring observability.
• Strong SQL proficiency and experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift.
• Experience with BI and data visualization tools such as Sigma, Looker Studio, Tableau, or Power BI.
• Experience building and deploying AI/ML-powered utilities or agents using LLMs such as OpenAI or Claude.
• Hands-on experience administering and customizing enterprise systems such as Jira, Slack, Zendesk, Salesforce, or Aha!.
• Excellent English communication skills and the ability to connect technical details with business outcomes.
• Experience working cross-functionally with engineering, product, design, and data analytics teams.
• Ability to independently drive complex projects through phased deliverables.

Nice-to-haves

• 3+ years of experience in automation or operations roles within high-growth SaaS or technology companies.
• Familiarity with the modern data stack, including dbt, Airflow, Fivetran, or Segment.
• Experience building custom internal tools, AI agents, or web applications for business operations.

Compensation and Benefits

• Ontario pay range: CA$125,882–CA$151,064.50 annually.
• 100% employer-paid medical insurance.
• Generous paid time off and paid sick time.
• Inclusive parental leave policy.
• Paid holidays.