Senior Backend Engineer

Role Overview

Join FutureFit AI as a Senior Backend Engineer to build the backbone of the platform. You will design scalable backend systems, tackle complex third-party integrations, and create infrastructure that improves integration reliability and operational excellence.

Key Missions

• Design and implement scalable backend systems for complex integrations.
• Automate manual processes and improve observability.
• Collaborate with cross-functional teams to understand pain points and prioritize solutions.

Responsibilities

• Build and maintain third-party API integrations and bidirectional sync systems (including handling edge cases like duplicates, missing dependencies, and validation failures).
• Implement event-driven architectures using serverless patterns.
• Ensure distributed-systems reliability using idempotency, retries, eventual consistency, and robust error handling.
• Develop comprehensive observability (structured logs, metrics, distributed tracing, alerting) for integration pipelines.
• Support multi-tenant architecture and tenant-specific configuration management.
• Work with legacy/government APIs and operate defensively when documentation is incomplete.
• Partner with customer support/success to identify issues, reduce escalations, and prioritize fixes.
• Use automation and internal tools to reduce manual support burden and enable self-serve by non-technical teams.

Requirements

• 5–8+ years in backend/platform/integration engineering, focused on building reliable systems for complex external integrations.
• Strong backend experience with TypeScript/Node.js and modern AWS services.
• Deep understanding of distributed systems patterns (idempotency, retries, eventual consistency, error handling).
• Strong debugging skills using logs, metrics, and tracing.
• Proficiency with at least one database technology for production systems.
• GraphQL API design and implementation.

Nice-to-Haves / Additional Signals

• Experience with MongoDB or DynamoDB for async workflows and state machines.
• SQL/data warehouse experience (e.g., Redshift, PostgreSQL) for validation and analytics.
• Event-driven architecture at scale with serverless (e.g., Lambda, Step Functions).
• Observability tooling such as CloudWatch Logs Insights or New Relic.
• Experience operating under strict SLAs, compliance, or high operational load.
• Multi-tenant systems and tenant-specific configurations.
• Prior experience with government APIs, legacy enterprise systems, or partners with limited documentation.