Come join our Engineering 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 work helps resolve the growing issue of economic inequality, ensuring that no one is left behind in the future of work. Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.
Data shows that men typically apply when meeting 3/10 requirements, while women often wait until it’s 10/10. Team:

30 to 50 people across the US and Canada, with main hubs in New York and Toronto
We’re seeking a Senior Backend Engineer (Integrations & Platform) to build the backbone our platform runs on. You’ll design scalable backend systems that power complex data integrations with government and enterprise partners, remove manual operational work, and help the team move faster with less friction.
Our integration footprint has grown quickly, and the most demanding piece is a bidirectional data sync with an external partner that requires sophisticated error handling, async workflows, and operational automation. You’ll start there, then turn what you build into the patterns and infrastructure we use for integration reliability across the platform.
This is hands-on, high-impact work where you’ll see results quickly: fewer production issues, faster support resolution, and systems that scale with confidence.
Complex data integrations:

Design, build, and maintain deep, bidirectional data integrations with government and enterprise partners, including partners with limited documentation.
Eliminate categories of manual support work through backend services, Lambda functions, and internal tools that let non-technical teammates diagnose and resolve issues themselves.
Implement structured logging, metrics, tracing, and alerting so issues surface before support tickets do.
Work with external vendors on API changes and coordinated deployments.
At FutureFit AI, we value clarity of purpose and rapid momentum. Build relationships with the engineering, customer success, and support teams who interact with our integration systems daily
Deep dive into our most complex integration: the bidirectional sync architecture between our platform and external partners (APIs, data models, async workflows, error patterns)
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
Build and deploy backend services and Lambda functions that reduce manual intervention in the integration pipeline
Implement comprehensive observability (structured logging, metrics, and alerting) so issues surface before support tickets
Document runbooks and create internal tools that empower non-technical team members to diagnose and resolve common issues independently
Collaborate with external partners on any API changes or coordinated deployments your automation needs
Begin identifying patterns and infrastructure that can be reused across other integrations or platform systems
Days 61 to 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 and error rates
Participate in architectural discussions and planning for other platform initiatives, bringing your expertise in reliability patterns, async workflows, and operational excellence
5 to 8+ years of senior-level, hands-on experience in backend, platform, or integration engineering, with a focus on building reliable systems for complex external integrations
~ Strong experience with TypeScript and Node.js
~ Proven experience building and maintaining complex data integrations at enterprise or government scale (deep data integration work, not only SSO, API configuration, or cloud deployments)
~ Experience developing reliable, production-grade backend systems
~ Proficiency with at least one SQL or NoSQL database in production
~ Comfort working effectively in a fully remote environment

Bonus Points
AWS experience (Lambda, EventBridge, SQS); Frontend or full-stack development experience
Experience with financial, banking, or similarly complex data integrations
Languages:

TypeScript, Node.js
Data:

MongoDB, PostgreSQL, Redshift
Infrastructure:

AWS, GitHub Actions for CI/CD
Technology reimbursement
Flexible schedules built on trust
Remote across the US and Canada. For candidates living in Toronto, our office is conveniently located at 325 Front St West (a short walk from Union Station), and you are welcome to drop by, though it is entirely optional and not a hybrid requirement.
Travel Expectations
Although this role is remote, you may be expected to travel up to once per quarter for off-sites and team gatherings.
The base salary range for this role is USD $150,000 to $185,000 for candidates based in the United States and CAD $130,000 to $170,000 for candidates based in Canada, benchmarked to the middle of the market for comparable venture-backed companies. 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. Each journey includes a mix of interviews and a performance challenge. Online Application

At FutureFit AI, were not just building a company—were transforming how talent and opportunity connect. Team: 30-50 across US and Canada (hubs in NYC and Toronto)

Customers:

Industry:

SaaS/AI technology
Structure:

Growth, Customer Success, Product, Engineering, Data, People & Culture, Finance & Operations
Use of AI in Hiring
At FutureFit, we use artificial intelligence (AI) tools to make our hiring process more efficient, consistent, and equitable—never to replace human judgment. We use AI in the following ways:
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.
In some interviews, we may use an AI notetaker to summarize the discussion so interviewers can focus on being present in the conversation.
AI provides data points to support our team’s evaluation but does not make or recommend final hiring decisions. 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. 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.