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описание
Element451 is building an AI-powered platform that helps colleges and universities recruit, enroll, and support students. Its multi-tenant, async-first platform processes student interactions and integrates AI into the product.
задачи
Build backend services in PHP/Laravel with clear domain boundaries and maintainable business logic;
Own MongoDB schema and index design, query performance, and safe migrations for multi-tenant workloads;
Build asynchronous, event-driven queues, jobs, and retries with idempotency, backpressure, and graceful failure;
Own API contracts, schema evolution, backward compatibility, deprecation planning, and coordination with downstream consumers;
Implement and operate integrations with Twilio, Stripe, PayPal, Google, Outlook, and SIS/CRM systems;
Optimize performance and cost at scale, including query patterns, N+1s, payload size, and tenant-level production behavior;
Write unit, integration, and end-to-end tests;
Ship safely behind feature flags, monitor services in production, and own issues from the shared triage queue;
Lead technical design, communicate architectural trade-offs, improve code and designs through review, mentor engineers, coordinate cross-team changes, and turn incidents into systemic improvements;
Use approved AI development tools across coding, testing, debugging, and design; review, test, and own all AI-assisted output;
Share effective AI development patterns with the team;
Understand the reasoning and context behind work before implementation;
Take responsibility for outcomes from initial design through stable production operation;
Proactively surface risks and unblock progress;
Collaborate openly and use feedback to improve solutions.
требования
5+ Years of professional backend engineering experience, including significant time at or near Senior level in a complex, multi-tenant SaaS product;
Deep expertise in PHP and Laravel, including service and domain design, asynchronous and queue primitives, and performance at scale;
Strong data modeling skills, ideally with MongoDB, including schema and index design, query performance, and multi-tenant considerations;
Experience building asynchronous, event-driven systems with SQS or comparable queuing, including idempotency, retries, and failure modes;
Hands-on AWS experience with ECS/Fargate, Lambda, SQS/SNS, EventBridge, and S3 as a service owner;
Experience designing and versioning APIs used by other teams and customers;
Experience implementing third-party API integrations, including authentication, retries, and reconciliation;
Experience with automated testing across multiple layers;
Current hands-on experience with agentic AI development tools across the full lifecycle;
Excellent written communication skills for technical documents and PR descriptions;
Nice to have: TypeScript/Node.js and NestJS, GraphQL, Playwright or comparable E2E testing, production experience with OpenAI APIs or comparable LLM platforms, Claude Code, Codex, or comparable AI development tools.
условия
Live, interactive technical assessment with engineers; no take-home assignment or trivia;
Candidates demonstrate their work, reasoning, and use of AI tooling in real time;