Live opening · Posted 22 hours ago

PHP Laravel Developer (Senior)

Origins AI: Helping you build and scale · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 22 hours ago
CompanyOrigins AI: Helping you build and scale
LocationIndia (Remote)
Work modeYes
SkillsPHP, AWS, GCP, Docker, PostgreSQL, MySQL, Redis
SourceLinkedin
ListedPosted 22 hours ago

About the role

Description supplied by the original job listing.

Responsibilities
Design and develop scalable Laravel backend services (PHP 8.x, Laravel 10/11).
Build inventory & reservation flows (seat/zone inventory, hold windows, anti-oversell logic).
Implement and maintain payment workflows (webhooks, reconciliation, refunds, idempotency).
Own performance, reliability, and observability: caching, queues, metrics, logs, alerts.
Model and optimize databases for high read/write (indexes, transactions, locking, query tuning).
Collaborate with front-end/devops and participate in architecture decisions and code reviews.
Write automated tests (unit/integration), ensure secure coding practices.
Must-have skills (non-negotiable for this project)
Strong Laravel backend expertise (service layer, events/listeners, queues, jobs, policies).
Deep understanding of transactions, locking, concurrency, and preventing race conditions.
Practical experience with Redis (cache + locks + rate limiting) and queues (Horizon).
Solid database skills (MySQL/Postgres): indexing, query optimization, schema design.
Strong API design: REST best practices, validation, versioning, auth (JWT/OAuth/Sanctum).
Clean code, testing discipline, Git workflows, strong debugging skills.
Strongly preferred (big plus for ticketing)
Real-time features: WebSockets (Laravel Echo/Pusher/Soketi) or SSE.
Payments: Stripe integrations with webhook reliability.
Search / filtering at scale (Meilisearch/Elastic), CDN usage, image/ticket PDF generation.
Experience with high-traffic launches / flash sales and traffic spikes.
Familiarity with microservices or modular monolith architecture.
Nice to have
Experience delivering AI/ML-adjacent projects (not required).
DevOps comfort: Docker, CI/CD, basic AWS/GCP knowledge.
What success looks like (first 60–90 days)
Stabilize/ship core flows: Reserve → Pay → Confirm → Issue ticket.
Reduce oversells to ~0 via correct locking/idempotency.
Improve p95 latency and checkout reliability under simulated spike load.

Work arrangement
Yes

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