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Senior Backend Engineer - Full Stack

PackageX· Engineering – Platform Engineering
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Islamabad, PKFull-timePosted 4d ago

About the role

Senior Backend Engineer (Full Stack) role focused on building and scaling backend services, APIs, and integrations for the PackageX platform, with the ability to ship end-to-end features across backend and web frontend using React and Svelte.

Responsibilities

  • Design and build the backend services and APIs that power the PackageX platform, mobile app, and web console.
  • Model data for complex, configurable workflows (events, evidence, and customer configuration) and maintain consistency at scale.
  • Build and maintain integrations with customer ERPs, WMSs, TMSs, third-party APIs, webhooks, and data exports.
  • Write event-driven and async processing with queues, workers, and scheduled jobs.
  • Build the backend behind Vision AI features, image ingestion, processing pipelines, and result storage, collaborating with AI team.
  • Handle offline sync and conflict resolution for data from mobile devices.
  • Build web features end to end, from API to UI: dashboards, configuration tools, admin, and reporting (web stack uses React and Svelte).
  • Find and fix slow queries, bottlenecks, and reliability issues before customers feel them.
  • Own services in production: deploys, monitoring, logging, alerting, on-call, and post-incident fixes.
  • Keep the platform secure: access control and multi-tenant data isolation.
  • Write tests, review code, and maintain design docs and API docs for others to build on.
  • Engage in implementation and customer conversations to push for reusable platform patterns over one-off builds.

Qualifications

  • 5+ years building and running production backend services.
  • Strong in Node.js/TypeScript, Python, or Go.
  • Relational databases experience (MySQL and PostgreSQL): schema design, indexing, query tuning, migrations.
  • Experience designing APIs and building integrations with third-party or enterprise systems.
  • Experience with queues and async processing (SQS, RabbitMQ, Kafka, or similar).
  • Experience deploying and running services on AWS or GCP, with Docker and CI/CD pipelines.

Skills

Required:Backend service designAPI design and integrationsData modeling for workflowsQueues and async processingAWS or GCP deploymentFrontend capability
Last updated Oct 21, 2026. Interested? Apply on the company site.

About PackageX

Vision AI workflows. Logistics automated.

PackageX turns any camera into a vision AI agent that reads logistics documents, identifies inventory, and detects exceptions — built in hours, not months.

LogisticsAIVision AIWarehouseDistributionRetailCampuses
Company profileWebsite

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