OverviewThe 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 versatile 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 environment, 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). Compensation may vary based on experience, location, and other job-related factors.ResponsibilitiesScale 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, moving quickly from problem definition to implementation, validation, and improvementHelp raise the bar on engineering quality through thoughtful design, code review, testing, documentation, mentorship, and operational disciplineQualifications3‐5+ years of experience building and operating production‐grade backend systems, APIs, services, or distributed applicationsStrong software engineering fundamentals,



including data structures, algorithms, system design, debugging, testing, and code qualityExperience designing, building, maintaining, and debugging services that run in production and support real users or business‐critical workflowsExperience with modern backend programming languages such as Python, Go, C++, Rust, Java, Kotlin, Scala, TypeScript, or C#Experience with API design, service boundaries, event‐driven or asynchronous architectures, relational data stores, and non‐relational data storesExperience building transactional systems where correctness, idempotency, consistency, reconciliation, and auditability matterExperience deploying and operating backend services on major cloud platforms such as AWS, GCP, or AzureStrong SQL skills and comfort with application data modeling, schema evolution, migrations, query performance, and data access patternsExperience building AI‐powered capabilities on top of LLMs, including orchestration, retrieval, evaluation, tool integrations, and workflow automationComfort working with CI/CD, infrastructure‐as‐code, observability, incident response, and production operations for backend systemsStrong judgment in ambiguous environments where requirements evolve and systems must balance speed, reliability, security, and flexibilityClear communication skills with both technical and non‐technical teammatesPreferred ExperienceExperience in fintech, mortgage, lending, payments, insurance, banking, capital markets, or other regulated domainsExperience with queues, streaming, and event‐driven platforms such as Kafka, Kinesis, SQS/SNS, Pub/Sub, RabbitMQ, or similar systemsExperience building secure identity, access control, permissions, audit trail, policy, or compliance‐oriented backend capabilitiesExperience building high‐volume, low‐latency, multi‐tenant, B2B, enterprise, or internal platform systemsExperience building AI products, developer platforms, workflow automation systems, or LLM‐powered enterprise applicationsExperience improving system reliability, cost efficiency, developer productivity, and operational scalability as a platform growsNote to candidatesYou do not need prior fintech or finance experience to succeed in this role. If you are a strong backend engineer with solid technical judgment, a product mindset, and excitement for solving complex systems problems, we would love to hear from you.If your background does not line up perfectly with every bullet, but this role feels like the kind of work you want to do, please apply.Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

📌 Backend Engineer (Toronto)
🏢 Lakeview Loan Servicing
📍 Toronto