About FutureFit AICome join our Platform Team! High velocity, high intensity, high trust, high bar, high impact, and a will to win. At FutureFit AI, our core mission is to help more people get to better jobs faster and cheaper, with a specific focus on those facing barriers to opportunity. Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.Your RoleFutureFit AI is looking for a Senior Backend Engineer to join our Integrations & Platform team. You'll play a critical role in building the backbone of our platform by designing smart, scalable backend systems that power complex integrations with government and enterprise partners, eliminate manual operational work, and help the team move faster with less friction.Your initial focus will be on our most technically demanding integration: a bidirectional sync system that requires sophisticated error handling, async workflows, and operational automation. You’ll build the infrastructure and patterns that solve this challenge and become the foundation for integration reliability and operational excellence platform-wide.It’s a hands-on, high-impact role where you’ll see immediate results—fewer production issues, faster support resolution, and systems that scale confidently—while building expertise that positions you to drive platform initiatives across our growing infrastructure.Your 30/60/90 Day PlanFirst 30 Days – Learn and IntegrateBuild relationships with engineering, customer success, and support teams who interact with your integration systems daily.Deep dive into the most complex integration: understand the bidirectional sync architecture between the platform and external partners (APIs, data models, async workflows, error patterns).Get hands-on with debugging tools: MongoDB queries for async job tracking, CloudWatch Logs Insights for distributed tracing, and SQL queries for data validation.Ship your first small fixes or improvements: resolve integration bugs or improve observability in one workflow.Days 31–60 – Own and ExecuteTake ownership of your first major automation initiative: eliminate a category of manual support work.Build and deploy backend services and Lambda functions that reduce manual intervention in the integration pipeline.Implement comprehensive observability: structured logging, metrics, and alerting for your automation so issues surface before support tickets.Work with the support team to validate your automation eliminates manual work and identify the next highest-impact opportunity.Document runbooks and create internal tools that empower non-technical team members to diagnose and resolve common issues independently.Collaborate with external partners (vendor systems) on API changes or coordinated deployments needed for your automation.Begin identifying patterns and infrastructure that could be reused across other integrations or platform systems.Days 61–90 – Lead and AmplifyMeasure and communicate the impact of your automation: reduction in support tickets, decrease in manual intervention time, and improvement in data consistency or error rates.Participate in architectural discussions and planning for other platform initiatives, bringing expertise in reliability patterns, async workflows, and operational excellence.Mentor other engineers on the patterns and infrastructure you’ve built, establishing yourself as the go-to person for integration reliability.Present a technical deep-dive to the broader engineering team on what you’ve learned and built.Your 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 handling.Experience building and maintaining integrations with third-party APIs.Proficiency with at least one database technology (SQL or NoSQL) for production systems.Strong debugging and troubleshooting skills using logs, metrics, and tracing.Highly ValuableGraphQL API design and implementation.MongoDB or DynamoDB for managing async workflows and state machines.SQL/data warehouse experience for validation and analytics (Redshift, PostgreSQL).Experience with government APIs, legacy enterprise systems, or partners with limited documentation.Event-driven architecture at scale using serverless patterns.CloudWatch Logs Insights, New Relic, or similar observability platforms.Multi-tenant architecture and tenant-specific configuration management.Your Experience5–8+ years in backend, platform, or integration engineering roles building reliable systems for complex external integrations.Built and maintained bidirectional sync systems between internal platforms and third-party APIs, handling edge cases like duplicate records, missing data dependencies, and validation failures.Designed and implemented event-driven architectures using serverless technologies (Lambda, Step Functions) for async workflows at scale.Integrated with legacy or government systems where API documentation is incomplete and error handling must be defensive.Worked extensively with both SQL and NoSQL databases—using document databases for state management and SQL for data validation and analytics.Built operational automation and internal tools that reduced manual support work, enabling non-technical teams to self-serve and resolve issues.Implemented comprehensive observability for integration pipelines: structured logging, metrics, distributed tracing, and alerting for proactive issue detection.Worked in environments with strict SLAs, compliance requirements, or high operational load where reliability and correctness are non-negotiable.Collaborated with customer support and success teams to understand pain points, prioritize fixes, and build solutions that reduce escalations.Experience with multi-tenant architectures and tenant-specific configurations.Our 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 isn’t our focus. Your grit, hunger, and drive are. If you learn continuously, tackle challenges head-on, and know your strengths and gaps intimately—you’re 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 conveniently located at 325 Front St West (a short walk from Union Station). The team comes in 1–2x a week, usually on Wednesdays.Travel 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 JourneyEach journey includes a mix of interviews and a performance challenge. For this role, that might look like: Online Application; Initial Screen with Director of People & Culture; Interview with Hiring Manager; Coding Challenge; Design Challenge; 2nd Interview with Head of GTM; 3rd Interview with CEO; Final Decision. Generally, this entire process takes around 6 weeks (timing can vary).Use of AI in HiringScreening support: AI may help compare applications against required skills and experience; a human reviews each application and AI assessment is just one input.Interview support: In some interviews, an AI notetaker may summarize discussions so interviewers can focus on being present.Insights, not decisions: AI provides data points to support evaluation but does not make or recommend final hiring decisions; every hiring decision is made by people.Equal OpportunityFutureFit AI is an equal opportunity workplace and celebrates diversity. Reasonable accommodation will be provided to individuals with disabilities to participate in the application or interview process, perform essential job functions, and receive other benefits and privileges of employment.
