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Senior Backend Engineer (CARE Pod)

United States Digital Space LLC

What You Will Work On

  • Clearer service ownership and deterministic lifecycle behavior across systems
  • Well‑defined, testable contracts between internal services and vendors
  • Observable and explainable runtime behavior for AI workflows and integrations
  • Repeatable evaluation and regression gating for non-deterministic agent outputs
  • Predictable and low‑risk releases aligned to our release governance model
  • Implement agentic task flows (tool use, orchestration, and workflow state) for back‑office automation where the final decision remains human‑owned
  • Build evaluation harnesses (runners, suites, regression gates) to validate correctness boundaries for non‑deterministic systems
  • Strengthen cross‑system lifecycle guarantees (handoff, session, termination, retries) using backend events/APIs rather than fragile UI triggers
  • Build/maintain knowledge ingestion pipelines that transform content into searchable indexes and support freshness + traceability
  • Implement production‑grade observability (signals, traces, failure classification) so AI outcomes and integrations are explainable in incidents
  • Contribute to release readiness via trunk‑based discipline, tagging, and evidence‑driven release workflows
  • Service design, API contracts, and workflow state modeling
  • Test strategy (unit, integration, e2e) and evaluation suites for AI flows
  • Deployment and production support, including after‑hours readiness in partnership with central teams

What You Bring

  • Strong backend engineering fundamentals (service design, distributed systems, async workflows)
  • Experience designing systems where correctness is enforced through contracts, tests, and runtime guarantees rather than tribal knowledge
  • Practical experience with at least one of: agent orchestration, workflow engines, tool‑calling systems, or evaluation frameworks for LLM/agent behavior
  • Ability to reason about failure modes across system boundaries (vendor + internal) and build deterministic lifecycle handling
  • Production mindset: observability, incident response, and operational readiness
  • Comfort operating under data privacy constraints and consent‑based integrations

What We Offer (Full‑time Permanent Roles)

  • Competitive discretionary bonus
  • Market leading RRSP match program
  • Medical, dental, vision, life, and disability benefits
  • Employee Share Purchase Plan
  • Maternity/Parental top‑up while you care for your little one
  • Generous vacation policy and personal days
  • Virtual events to connect with your fellow colleagues
  • Professional development and comprehensive Career Development program
  • A fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience

The role is hybrid with office time spent working from Equitable Bank’s additional office space located at 2200‑25 Ontario Street, Toronto, ON.

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Vacancy posted 8 days ago
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