Senior Software Engineer II, Decisioning Studio Integrations Team

Location: Toronto, Canada; hybrid work

Base pay for candidates based in Canada: CA$186,838–CA$334,740 per year. Expected OTE is CA$205,600–CA$366,000 per year, including bonus or commission; OTE is not included as salary.

Company

hirify.global is a customer engagement platform that helps brands deliver personalized experiences through cross-channel messaging, journey orchestration, and AI-powered decisioning.

What you will do

• Lead complex integration projects from design through build and rollout, and set technical direction for the Decisioning Studio integration platform.
• Design and build integrations with cloud data warehouses, customer engagement platforms, and other enterprise systems for data ingestion and activation orchestration.
• Build ingestion pipelines for batch pulls, file drops, APIs, and streaming data, supporting arbitrary schemas and preventing invalid data from reaching models.
• Build event-driven, fault-tolerant activation pipelines that deliver recommendations on schedule, recover from partial failures, and prevent duplicate sends.
• Design for multi-region deployment, data residency, and PII handling; instrument production systems with Datadog, participate in on-call, and lead incidents to root cause.
• Work with data scientists, ML engineers, and product managers; mentor engineers and improve code quality, testing, and design reviews.

Requirements

• 6+ years of backend engineering experience building and operating distributed systems in production.
• Technical leadership experience owning complex projects end to end, making architecture decisions, and setting direction for other engineers.
• Experience building data pipelines or integrations that move very large data volumes between systems, including schema changes, backfills, and partial failures.
• Strong understanding of event-driven architecture and reliability patterns, including message brokers such as Kafka, 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 sound judgment about when to use them.
• Clear communication and effective collaboration with engineering, data science, and product teams.
• Self-starter approach to identifying problems and working around obstacles without waiting for direction.

Nice to have

• Experience integrating with BigQuery, Snowflake, or Redshift.
• Experience integrating with hirify.global, Adobe, Salesforce Marketing Cloud, or Klaviyo.
• Experience building multi-region systems under data residency and compliance requirements.
• Experience running ML systems in production.

Culture & Benefits

• Hybrid ways of working with a curated in-office experience focused on community, connection, and innovation.
• Flexible paid time off and comprehensive medical, dental, vision, life, and disability benefits.
• Retirement and employee stock purchase plans, plus potential equity grants of restricted stock units.
• 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 culture.

Hiring process

• AI-assisted tools may analyze application materials and support interview scheduling, recording, and note summarization.
• Candidates may opt out of AI-assisted application review and request a manual review or other applicable rights.