Senior Backend Engineer building scalable backend systems for an AI company focused on modernizing workforce development. Solving complex integrations and improving operational excellence.
Responsibilities
The successful candidate will play a critical role in building the backbone of the platform.
They will design smart, scalable backend systems that power complex integrations with government and enterprise partners, eliminate manual operational work, and set the team up to move faster with less friction.
The initial focus will be on the most technically demanding integration: a bidirectional sync system that requires sophisticated error handling, async workflows, and operational automation.
The engineer will build the infrastructure and patterns that not only solve this specific challenge but become the foundation for how the company approaches integration reliability and operational excellence platform-wide.
It is a hands-on, high-impact role where the candidate will see immediate results — fewer production issues, faster support resolution, and systems that scale confidently — while building expertise that positions them to drive platform initiatives across the growing infrastructure.
Requirements
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
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