Senior Software Engineer II

Responsibilities

• Lead complex integration projects from design through build and rollout while setting technical direction for the Decisioning Studio integration platform.
• Design and build integrations with cloud data warehouses, customer engagement platforms, and enterprise systems for data ingestion and activation orchestration.
• Build large-scale batch, file-drop, API, and streaming ingestion pipelines that support arbitrary schemas and prevent invalid data from reaching models.
• Build event-driven, fault-tolerant activation pipelines that deliver recommendations reliably, recover from partial failures, and prevent duplicate delivery.
• Design multi-region systems with data residency and PII-handling requirements.
• Own systems in production, instrument them with Datadog, participate in on-call, and drive incidents through root-cause resolution.
• Collaborate with data scientists, ML engineers, and product managers to turn integration requirements into reusable platform capabilities.
• Mentor engineers and improve code quality, testing, and design reviews.

Requirements

• At least 6 years of backend engineering experience building and operating distributed systems in production.
• Demonstrated technical leadership through end-to-end project ownership, architecture decisions, and direction-setting for other engineers.
• Experience building high-volume data pipelines or integrations involving schema changes, backfills, and partial failures.
• Strong understanding of event-driven architecture and reliability patterns, including message brokers, idempotency, retries with backoff, dead-letter handling, and at-least-once versus exactly-once tradeoffs.
• Proficiency in Python and SQL.
• Hands-on experience with cloud infrastructure, preferably GCP, and Kubernetes.
• Experience with AI coding assistants and the judgment to use them appropriately.
• Strong communication and collaboration skills across engineering, data science, and product teams.
• Bonus: experience with BigQuery, Snowflake, Redshift, Braze, Adobe, Salesforce Marketing Cloud, or Klaviyo.
• Bonus: experience building multi-region systems under data residency and compliance requirements or running ML systems in production.

Benefits

• Canadian base pay is listed at CA$186,838–CA$334,740 per year, with additional equity eligibility and a total rewards package.
• Hybrid work arrangement with a curated in-office experience.
• Retirement and Employee Stock Purchase Plans, flexible paid time off, and medical, dental, vision, life, and disability coverage.
• Family services including fertility benefits and equal paid parental leave.
• Professional development through career pathing, learning platforms, and a yearly learning stipend.
• Employee Resource Groups, volunteer opportunities, donation matching, and a collaborative company culture.