Sr. Backend Engineer - Integrations & Platform Rockstar is recruiting for an innovative, mission-driven AI company focused on the future of work. The client is dedicated to helping more people access better jobs faster and more affordably, with a particular emphasis on removing barriers to opportunity. Their AI-powered platform modernizes workforce development, replacing outdated systems and unlocking human potential at scale. They are a dynamic, high-velocity team motivated by meaningful impact.OverviewCome join the Platform Team!High velocity, high intensity, high trust, high bar, high impact, and a will to win.If those words resonate deeply, this could be the next career move. They are seeking someone who leads with humility, pursues audacious goals, and is motivated by meaningful impact on people and the world.The core mission is to help more people get to better jobs faster and cheaper, with a specific focus on those facing barriers to opportunity. The work helps resolve the growing issue of economic inequality, ensuring that no one is left behind in the future of work. The AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.Ready to make an impact?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. They encourage you to apply if you see a strong (not necessarily perfect) fit.Your RoleThe company is looking for a Senior Backend Engineer to join the Integrations & Platform team. 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.Your 30/60/90 Day PlanAt the company, they value clarity of purpose and rapid momentum. Here’s what success looks like in the first 90 days:First 30 Days – Learn and IntegrateBuild relationships with engineering, customer success, and support teams who interact with the integration systems dailyDeep dive into the most complex integration: understand the bidirectional sync architecture between the platform and external partners (APIs, data models, async workflows, error patterns)Get hands-on with the debugging tools: MongoDB queries for async job tracking, CloudWatch Logs Insights for distributed tracing, SQL queries for data validationShip first small fixes or improvements: resolve straightforward integration bugs or improve observability in one workflowDays 31–60 – Own and ExecuteTake ownership of the first major automation initiative: eliminate a category of manual support workBuild and deploy backend services and Lambda functions that reduce manual intervention in the integration pipelineImplement comprehensive observability: structured logging, metrics, and alerting for the automation so issues surface before support ticketsWork with the support team to validate the automation eliminates manual work and identify the next highest-impact opportunityDocument runbooks and create internal tools that empower non-technical team members to diagnose and resolve common issues independentlyCollaborate with external partners (vendor systems) on any API changes or coordinated deployments needed for the automationBegin identifying patterns and infrastructure that could be reused across other integrations or platform systemsDays 61–90 – Lead and AmplifyMeasure and communicate the impact of the automation: reduction in support tickets, decrease in manual intervention time, improvement in data consistency or error ratesParticipate in architectural discussions and planning for other platform initiatives — bringing expertise in reliability patterns, async workflows, and operational excellenceMentor other engineers on the patterns and infrastructure built, establishing oneself as the go-to person for integration reliabilityPresent a technical deep-dive to the broader engineering team on what has been learned and builtYour SkillsCore TechnicalStrong 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 handlingExperience building and maintaining integrations with third-party APIsProficiency with at least one database technology (SQL or NoSQL) for production systemsStrong debugging and troubleshooting skills using logs, metrics, and tracingHighly ValuableGraphQL API design and implementationMongoDB or DynamoDB for managing async workflows and state machinesSQL/data warehouse experience for validation and analytics (Redshift, PostgreSQL)Experience with government APIs, legacy enterprise systems, or partners with limited documentationEvent-driven architecture at scale using serverless patternsCloudWatch Logs Insights, New Relic, or similar observability platformsMulti-tenant architecture and tenant-specific configuration managementsYour Experience5–8+ years in backend, platform, or integration engineering roles with focus on building reliable systems for complex external integrationsBuilt and maintained bidirectional sync s