Senior Software Engineer II, Decisioning Studio Integrations Team

Role overview

Responsibilities

• Lead integration projects from design through build and rollout, and set platform technical direction.
• Build enterprise integrations for data ingestion and activation orchestration.
• Create pipelines for batch pulls, file drops, APIs, and streaming that handle arbitrary schemas and protect models from bad data.
• Build reliable activation pipelines that deliver recommendations on schedule, recover from partial failures, and avoid duplicate sends.
• Design multi-region deployment and compliance capabilities, including data residency and PII handling.
• Operate production systems with Datadog, join the on-call rotation, and resolve incidents to root cause.
• Partner with data science, ML, and product teams to create reusable platform capabilities.
• Mentor engineers and raise standards for code quality, testing, and design review.

Required qualifications

• 6+ years of backend engineering experience building and operating distributed systems in production.
• Technical leadership experience owning complex projects, making architecture decisions, and setting direction.
• Experience building high-volume data pipelines or integrations, including schema changes, backfills, and partial failures.
• Strong event-driven architecture and reliability knowledge, including idempotency, retries, dead-letter handling, and delivery-semantics tradeoffs.
• Proficiency in Python and SQL; hands-on cloud infrastructure and Kubernetes experience.
• Experience with AI coding assistants and sound judgment about their use.
• Clear communicator and self-starter, effective across engineering, data science, and product.

Bonus experience

• Cloud data warehouse integrations such as BigQuery, Snowflake, or Redshift.
• Customer engagement platform integrations such as Braze, Adobe, Salesforce Marketing Cloud, or Klaviyo.
• Multi-region systems with data-residency and compliance requirements, or production ML systems.

Compensation

• For candidates based in Canada, expected base pay at employment start is CA$186,838–CA$334,740 per year.
• Expected Canadian on-target earnings are CA$205,600–CA$366,000 per year, including bonus or commission.
• Offer amounts vary with market location, job-related knowledge, skills, and experience; the role also qualifies for a total rewards package including restricted stock units.