The Backend Engineer on the AI Platform team plays a critical role in building and evolving the backend systems that power internal products, customer-facing capabilities, AI-enabled workflows, and operational decision-making across the organization. This role is responsible for designing, building, testing, and operating reliable, scalable, and flexible services that support a wide range of internal and external use cases.
This role contributes to the development and evolution of core backend and distributed systems capabilities, including service-oriented architectures, APIs, workflow orchestration, event-driven integrations, identity and permissions, operational tooling, and system interfaces that enable product, data, and AI teams to move quickly. Success requires strong technical depth, sound systems thinking, and the ability to build dependable solutions in a cloud-based, regulated, high-stakes environment.
The Backend Engineer is expected to operate effectively in a modern engineering setting, using automation, observability, CI/CD, testing, and infrastructure-as-code practices to deploy, manage, and improve production services. In parallel, this individual will help enable downstream product capabilities, operational workflows, reporting, and AI systems by ensuring that backend services are trustworthy, maintainable, and performant.
This is a fully remote position that offers a competitive salary range of $140,000 to $240,000 USD, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Scale High-Performance Distributed SystemsDesign, build, and maintain production backend services for a wide variety of internal and external use cases, including product workflows, operational tools, integrations, APIs,



and AI-enabled applicationsDevelop well-structured APIs, domain models, service interfaces, and business logic that are easy to understand, test, operate, and extendBuild scalable backend workflows that support complex business processes across loans, documents, accounts, users, permissions, vendors, and operational decision makingEnsure backend services are reliable, testable, observable, and resilient as business needs, data volumes, and product surfaces evolveSystems Architecture & IntegrationContribute to service architectures that support transactional, operational, analytical, and AI-driven workloads across production environmentsIntegrate with internal systems, third-party platforms, vendor APIs, databases, files, message queues, event streams, and cloud servicesDesign patterns for service boundaries, idempotency, consistency, retries, failure handling, schema evolution, versioning, and backward compatibilityHelp define practical architecture standards that balance speed, simplicity, reliability, security, and long-term maintainabilityCloud Deployment & OperationsDeploy, operate, and improve backend services on major cloud platforms such as AWS, GCP, or AzureUse infrastructure-as-code, CI/CD, automated testing, and deployment automation to improve release speed, consistency, and reliabilityMonitor production services using logging, tracing, metrics, alerting,



and observability tools to proactively identify and resolve issuesSupport secure, resilient, and cost-conscious operation of cloud-based backend infrastructure and application servicesReliability, Security & ComplianceBuild systems with strong operational discipline, including attention to latency, availability, scalability, correctness, incident response, and production supportImplement authentication, authorization, permissions, audit logging, data protection, and secure service-to-service communication patternsEstablish and maintain standards for API documentation, service ownership, runbooks, operational metrics, change management, and production readinessContribute to practices that support security, privacy, auditability, compliance, and risk management in a regulated environmentCross-Functional CollaborationPartner closely with Product, Engineering, Data, AI, Design, Operations, and business stakeholders to understand workflows, user needs, constraints, and delivery prioritiesTranslate business and operational requirements into clean, scalable, maintainable, and secure backend solutionsSupport downstream consumers of backend capabilities, including product teams, analysts, researchers, AI systems, operational users, and external integrationsCommunicate clearly with both technical and non-technical stakeholders about system behavior, tradeoffs, risks, dependencies, and delivery timelinesIteration & Continuous ImprovementContinuously improve service performance, reliability, scalability, security, and developer productivityIdentify opportunities to simplify architecture, reduce operational toil, improve shared platform leverage, and make systems easier to reason aboutOperate with a strong bias toward action and iterative delivery, movi

📌 Backend Developer (Winnipeg)
🏢 Bayview Fund Management
📍 Winnipeg