Senior Backend Engineer; Integrations & Platform Job Hempstead area,New York USA,Software Development

Position: Senior Backend Engineer (Integrations & Platform)

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
This is a build role and an operate role: when a sync fails or a record looks wrong, you can trace it back to the cause and fix it
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
Asynchronous workflows:
Build reliable async processing using queues, retries, idempotency, and eventual consistency patterns, handling duplicates, missing dependencies, and validation failures defensively
Operational automation:
Eliminate categories of manual support work through backend services, Lambda functions, and internal tools that let non-technical teammates diagnose and resolve issues themselves
Observability:
Implement structured logging, metrics, tracing, and alerting so issues surface before support tickets do
Production reliability:
Stay close enough to running systems to debug them, including code you did not write
Reusable patterns:
Establish integration standards the rest of the team can build on
Partner collaboration:
Work with external vendors on API changes and coordinated deployments
First 30 Days:
Learn and Integrate
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)
Get hands‑on with our debugging tools:
MongoDB queries for async job tracking, Cloud Watch 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 to 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) so issues surface before support tickets
Work with the support team to validate that 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 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…