Senior Systems Engineer, R&d Business Systems

Fivetran Fivetran · Data AI · Toronto, ON · Systems Engineering Department

This role focuses on building and maintaining internal systems and data pipelines for the R&D organization, including custom AI agents and tools to support engineering and product managers. It involves integrating enterprise platforms, designing backend services, and leveraging AI assistants for development, with a focus on improving operational efficiency and accelerating product launches.

What you'd actually do

  1. Lead the development of custom system solutions, tools, and dashboards that power the R&D operations and seamless data flow and process alignment across the Fivetran feature development lifecycle.
  2. Design, develop, and maintain bidirectional integrations between core platforms such as Jira, Zendesk, Salesforce, and other GTM and G&A Systems to streamline the feature development lifecycle and R&D operations.
  3. Create ground-up and maintain custom AI agents and internal tools to help engineering managers, product Managers and leadership quickly access relevant data, draft compelling technical requirements and design, synthesize customer feedback, and align with strategic goals and OKRs to improve operational efficiency and launch innovative products faster.
  4. Design and build production-grade backend services and integration workflows in Python and TypeScript.
  5. Own observability, operational readiness, and production support for internal tools and data pipelines.

Skills

Required

  • 5+ years of experience in the software industry
  • experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch
  • Proven experience developing integrations using APIs (REST/GraphQL), webhooks, and modern programming/scripting languages (Python, Java)
  • building systems leveraging low-code and full code solutions
  • deploying them using modern CI/CD practices and ensuring observability
  • Strong proficiency in SQL
  • experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
  • experience with BI and data visualization tools such as Sigma, Looker Studio, Tableau, or Power BI
  • Experience building ground-up and deploying AI/ML-powered utilities or agents using LLMs (e.g., OpenAI, Claude, etc.) to automate code writing, documentation, or deliver intuitive and effective user-facing prototypes and full-scale solutions.
  • Hands-on experience using, administering, and customizing core enterprise systems: Jira, Slack, Zendesk, Salesforce, Aha!, etc.
  • Excellent communication skills in English
  • Ability to independently drive complex projects

Nice to have

  • 3+ years of experience in automation/operations roles within high-growth SaaS or tech companies.
  • Familiarity with the modern data stack (e.g., dbt, Airflow, Fivetran, Segment, or similar).
  • Experience building custom internal tools, AI agents, or web applications to support business operations.

What the JD emphasized

  • custom AI agents and internal tools
  • AI/ML-powered utilities or agents using LLMs

Other signals

  • building infrastructure and tools
  • implementing technical solutions for key engineering and product processes
  • integrating core enterprise platforms
  • transforming raw data into actionable business intelligence
  • create ground-up and maintain custom AI agents and internal tools
  • design and build production-grade backend services and integration workflows
  • own observability, operational readiness, and production support for internal tools and data pipelines
  • leverage AI assistants to streamline IDE-based development
  • build maintainable React-based internal applications
  • experience building ground-up and deploying AI/ML-powered utilities or agents using LLMs