Sr. Backend Engineer - Integrations & Platform

Come join our Platform Team!

High velocity, high intensity, high trust, high bar, high impact, and a will to win.

If those words resonate deeply with you, this could be your next career move. We're seeking someone who leads with humility, pursues audacious goals, and is motivated by meaningful impact on people and the world.

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 Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.

Ready to make an impact? Apply today.

Important note: Data shows that men typically apply when meeting 3/10 requirements, while women often wait until it's 10/10. We encourage you to apply if you see a strong (not necessarily perfect) fit.

Your Role

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

Your Skills

Core Technical

• 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

Highly Valuable

• GraphQL API design and implementation
• MongoDB or DynamoDB for managing async workflows and st