Top Benefits
Unlimited time off: trust-based paid time off policy.
Comprehensive healthcare: robust health coverage prioritizing well-being.
401k plan: future-proof savings plan.
About the role
Who you are
- Strong 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
- GraphQL 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 managements
- 5–8+ years in backend, platform, or integration engineering roles with focus on 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
- Your 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
What the job involves
- FutureFit 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
- You’ll 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
- 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 not only solve this specific challenge but become the foundation for how we approach 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 Plan:
- At FutureFit AI, we value clarity of purpose and rapid momentum. Here’s what success looks like in the first 90 days:
- First 30 Days – Learn and Integrate
- Build relationships with engineering, customer success, and support teams who interact with our integration systems daily
- Deep 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 validation
- Ship your first small fixes or improvements: resolve straightforward integration bugs or improve observability in one workflow
- Days 31–60 – Own and Execute
- Take 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 any 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 Amplify
- Measure and communicate the impact of your automation: reduction in support tickets, decrease in manual intervention time, improvement in data consistency or error rates
- Participate in architectural discussions and planning for other platform initiatives — bringing your 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
- Our Tech Stack:
- Languages: TypeScript, Node.js
- Cloud: AWS (preferred)
- Architectures: Event-driven (e.g., AWS EventBridge, SQS, Lambda, Kafka)
- APIs: Integration with third-party APIs and data automation across systems
- Patterns & Practices: Queueing, retries, idempotency, logging, alerting, observability
The application process
- At 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 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, although the timing can vary due to specific candidate circumstances
Benefits
- Dual hubs: experience the best of both worlds with our offices in vibrant Toronto and bustling New York
- Founder access: work shoulder-to-shoulder with our visionary founding team to shape the future of AI
- Growth investment: Accelerate your career with our dedicated professional development budget
- Unlimited time off: recharge and explore with our trust-based, limited paid time off policy
- Comprehensive healthcare: rest easy with our robust health coveage, proioritizing your well-being
- Future-proof savings: Build your financial security through our 401k plan
- Tech enablement: Stay cutting-edge with our technology reimbursement program
- Flexible lifestyle: Achieve work-life harmony with our flexible, trust-based scheduling
Similar jobs you might like
Top Benefits
Unlimited time off: trust-based paid time off policy.
Comprehensive healthcare: robust health coverage prioritizing well-being.
401k plan: future-proof savings plan.
About the role
Who you are
- Strong 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
- GraphQL 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 managements
- 5–8+ years in backend, platform, or integration engineering roles with focus on 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
- Your 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
What the job involves
- FutureFit 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
- You’ll 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
- 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 not only solve this specific challenge but become the foundation for how we approach 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 Plan:
- At FutureFit AI, we value clarity of purpose and rapid momentum. Here’s what success looks like in the first 90 days:
- First 30 Days – Learn and Integrate
- Build relationships with engineering, customer success, and support teams who interact with our integration systems daily
- Deep 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 validation
- Ship your first small fixes or improvements: resolve straightforward integration bugs or improve observability in one workflow
- Days 31–60 – Own and Execute
- Take 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 any 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 Amplify
- Measure and communicate the impact of your automation: reduction in support tickets, decrease in manual intervention time, improvement in data consistency or error rates
- Participate in architectural discussions and planning for other platform initiatives — bringing your 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
- Our Tech Stack:
- Languages: TypeScript, Node.js
- Cloud: AWS (preferred)
- Architectures: Event-driven (e.g., AWS EventBridge, SQS, Lambda, Kafka)
- APIs: Integration with third-party APIs and data automation across systems
- Patterns & Practices: Queueing, retries, idempotency, logging, alerting, observability
The application process
- At 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 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, although the timing can vary due to specific candidate circumstances
Benefits
- Dual hubs: experience the best of both worlds with our offices in vibrant Toronto and bustling New York
- Founder access: work shoulder-to-shoulder with our visionary founding team to shape the future of AI
- Growth investment: Accelerate your career with our dedicated professional development budget
- Unlimited time off: recharge and explore with our trust-based, limited paid time off policy
- Comprehensive healthcare: rest easy with our robust health coveage, proioritizing your well-being
- Future-proof savings: Build your financial security through our 401k plan
- Tech enablement: Stay cutting-edge with our technology reimbursement program
- Flexible lifestyle: Achieve work-life harmony with our flexible, trust-based scheduling