Senior Backend Engineer, FutureFit

• 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
• 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

Desirable

• 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

• 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