Sr. Backend Engineer

OverviewFutureFit AI is looking for a Senior Backend Engineer to join our Integrations & Platform team. You\u2019ll play a critical role in building the backbone of our platform. You\u2019ll design smart, scalable backend systems that power complex integrations with government and enterprise partners, eliminate manual operational work, and set our team up to move faster with less friction. The initial focus will be on our most technically demanding integration: a bidirectional sync system requiring sophisticated error handling, async workflows, and operational automation. This is a hands-on, high-impact role with immediate results and opportunities to drive platform initiatives across our growing infrastructure.Ready to make an impact? Apply today.Note: This description preserves the original content; spelling and phrasing are maintained as provided.Your RoleFutureFit AI is looking for a Senior Backend Engineer to join our Integrations & Platform team. You\u2019ll build the backbone of our platform and contribute to reliable, scalable integration capabilities.Your 30/60/90 Day PlanWe value clarity of purpose and rapid momentum. Here\u2019s what success looks like in the first 90 days:First 30 Days Learn and IntegrateBuild relationships with engineering, customer success, and support teams who interact with our integration systems dailyDeep dive into our most complex integration: understand the bidirectional sync architecture between our platform and external partners (APIs, data models, async workflows, error patterns)Get hands-on with our debugging tools: MongoDB queries for async job tracking, CloudWatch Logs Insights for distributed tracing, SQL queries for data validationShip your first small fixes or improvements: resolve straightforward integration bugs or improve observability in one workflowDays 310 Own and ExecuteTake ownership of your first major automation initiative: eliminate a category of manual support workBuild and deploy backend services and Lambda functions that reduce manual intervention in the integration pipelineImplement comprehensive observability: structured logging, metrics, and alerting for your automation so issues surface before support ticketsWork with the support team to validate your automation eliminates manual work and identify the next highest-impact opportunityDocument runbooks and create internal tools that empower non-technical team members to diagnose and resolve common issues independentlyCollaborate with external partners (vendor systems) on any API changes or coordinated deployments needed for your automationBegin identifying patterns and infrastructure that could be reused across other integrations or platform systemsDays 610 Lead and AmplifyMeasure and communicate the impact of your automation: reduction in support tickets, decrease in manual intervention time, improvement in data consistency or error ratesParticipate in architectural discussions and planning for other platform initiatives bringing your expertise in reliability patterns, async workflows, and operational excellenceMentor other engineers on the patterns and infrastructure you\u2019ve built, establishing yourself as the go-to person for integration reliabilityPresent a technical deep-dive to the broader engineering team on what you\u2019ve learned and builtYour SkillsCore TechnicalStrong backend development experience with TypeScript/Node.js and modern AWS services (Lambda, EventBridge, SQS)Deep understanding of distributed systems patterns: idempotency, retries, eventual consistency, and error handlingExperience building and maintaining integrations with third-party APIsProficiency with at least one database technology (SQL or NoSQL) for production systemsStrong debugging and troubleshooting skills using logs, metrics, and tracingHighly ValuableGraphQL API design and implementationMongoDB or DynamoDB for managing async workflows and state machinesSQL/data warehouse experience for validation and analytics (Redshift, PostgreSQL)Experience with government APIs, legacy enterprise systems, or partners with limited documentationEvent-driven architecture at scale using serverless patternsCloudWatch Logs Insights, New Relic, or similar observability platformsMulti-tenant architecture and tenant-specific configuration managementsYour Experience5+ years in backend, platform, or integration engineering roles with focus on building reliable systems for complex external integrationsBuilt and maintained bidirectional sync systems between internal platforms and third-party APIs, handling edge cases like duplicate records, missing data dependencies, and validation failuresDesigned and implemented event-driven architectures using serverless technologies (Lambda, Step Functions) for async workflows at scaleIntegrated with legacy or government systems where API documentation is incomplete and error handling must be defensiveWorked extensively with both SQL and NoSQL databases using document databases for state management and SQL for data validation and analyticsBuilt operational automation and internal tools that reduced manual support work, enabling non-technical teams to self-serve and resolve issuesImplemented comprehensive observability for integration pipelines: structured logging, metrics, distributed tracing, and alerting for proactive issue detectionWorked in environments with strict SLAs, compliance requirements, or high operational load where reliability and correctness are non-negotiableCollaborated with customer support and success teams to understand pain points, prioritize fixes, and build solutions that reduce escalationsExperience with multi-tenant architectures and tenant-specific configurationsOur Tech StackLanguages: TypeScript, Node.jsCloud: AWS (preferred)Architectures: Event-driven (e.g., AWS EventBridge, SQS, Lambda, Kafka)APIs: Integration with third-party APIs and data automation across systemsPatterns & Practices: Queueing, retries, idempotency, logging, alerting, observabilityYour EducationYour alma mater isnt our focus. Your grit, hunger, and drive are. If you learn continuously, tackle challenges head-on, and know your strengths and gaps intimately—youre our person.Job benefitsWork directly with the founding teamUnlimited PTOHealth careCareer Development BudgetTechnology reimbursementFlexible schedules built on trustLocationThis role is remote in Canada. For candidates living in Toronto, our office is at 325 Front St West (near Union Station). The team comes in 1-2x a week, usually on Wednesdays. We\u2019d love to see you tooTravel ExpectationsAlthough this role is remote, you may be expected to travel up to once per quarter.CompensationThe base salary range for this role is $130,000 - $170,000 CAD. This range reflects the varying levels of expertise and responsibilities that will be determined through the interview process, based on applied experience and other criteria established by the hiring committee.Hiring JourneyAt FutureFit AI, our hiring process is designed to help you assess whether this role and our culture are the right fit based on your unique skills, mindset, and experiences. We move fast and work with intensity, so we want you to get a real sense of that from the start. Each journey includes a mix of interviews and a performance challenge. For this role, that might look like:Online ApplicationInitial Screen with Director of People & CultureInterview with Hiring ManagerCoding ChallengeDesign Challenge2nd Interview with Head of GTM3rd Interview with CEOFinal DecisionGenerally, this entire process takes around 6 weeks, although the timing can vary due to specific candidate circumstances.Company SnapshotTeam: 30-50 across US and Canada (hubs in NYC and Toronto)Customers: Workforce development agencies and intermediaries, government agencies, employersIndustry: SaaS/AI technologyFunding: Bootstrapped 0-1, then raised funding led by JP MorganStructure: Growth, Customer Success, Product, Engineering, Data, People & Culture, Finance & OperationsOur Core PrinciplesBe CuriousDrive to OutcomesRaise the BarSpeed MattersOwn ItWe Over MeUse of AI in HiringScreening support: AI may help us compare applications against the skills and experience required for a specific role. A human reviews each application, with the AI assessment as just one input.Interview support: In some interviews, we may use an AI notetaker to summarize the discussion so interviewers can focus on being present in the conversation.Insights, not decisions: AI provides data points to support our team\u2019s evaluation but does not make or recommend final hiring decisions. Every hiring decision is made by people.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.© FutureFit AI All rights reserved, we are proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, disability, veteran status, or other applicable legally protected characteristics. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply. #J-18808-Ljbffr