
11 - 50 employees
📦 Logistics
💼 Consulting
🏥 Healthcare
💰 Pre seed on 2023-02
Logistics • Consulting • Healthcare
Rayda is a SaaS platform that automates global employee device lifecycle management for companies. It handles procurement, pre-configuration, international shipping, tracking, maintenance, secure data wiping, retrieval, storage, insurance, and sustainable disposal across 170+ countries, enabling IT, HR, and operations teams to equip remote employees quickly and reliably. Rayda centralizes device tracking and documentation, reduces device-related tickets and costs, and accelerates onboarding and offboarding workflows for distributed, enterprise customers.
🔥 1 minute ago
Where this job comes from
Posted on Rayda's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

11 - 50 employees
📦 Logistics
💼 Consulting
🏥 Healthcare
💰 Pre seed on 2023-02
Logistics • Consulting • Healthcare
Rayda is a SaaS platform that automates global employee device lifecycle management for companies. It handles procurement, pre-configuration, international shipping, tracking, maintenance, secure data wiping, retrieval, storage, insurance, and sustainable disposal across 170+ countries, enabling IT, HR, and operations teams to equip remote employees quickly and reliably. Rayda centralizes device tracking and documentation, reduces device-related tickets and costs, and accelerates onboarding and offboarding workflows for distributed, enterprise customers.
• Investigate and resolve technical issues reported by customers and internal teams • Troubleshoot application errors, unexpected behaviour, failed transactions, and data inconsistencies • Reproduce reported issues and identify their underlying causes • Review application logs, API responses, database records, and error traces to diagnose problems • Escalate complex issues to the appropriate engineering team with clear technical findings • Review and investigate outstanding bugs from previous development sprints • Identify regressions affecting previously working features • Validate reported bugs before assigning them for further engineering investigation • Work with developers to verify fixes and ensure issues are properly resolved • Maintain a record of recurring bugs and common failure patterns • Perform functional, regression, and exploratory testing on existing application features • Validate bug fixes before they are deployed to production • Support QA Engineers during release testing and production verification • Identify gaps in existing test coverage and recommend additional test scenarios • Ensure fixes do not introduce unintended changes to other parts of the application • Document reported issues, investigation steps, root causes, and resolutions • Maintain clear records of production incidents and their resolution status • Identify recurring technical problems and recommend permanent solutions • Contribute to internal troubleshooting guides and technical documentation • Provide regular updates on unresolved issues and potential production risks • Work closely with Backend, Frontend, QA, and DevOps Engineers • Collaborate with developers to reproduce and resolve complex application issues • Participate in production incident reviews and reliability improvement initiatives • Support engineering teams in maintaining application stability between release cycles
• 3–4 years of experience in software development, software support, or application support • Good understanding of web application architecture and client-server communication • Experience with REST APIs and tools such as Postman or Insomnia • Familiarity with SQL and relational databases, particularly PostgreSQL or MySQL • Ability to read application logs, investigate exceptions, and troubleshoot technical errors • Basic understanding of web technologies such as Laravel, ReactJs, and Nest.js • Familiarity with frontend applications built with React, Next.js, or similar technologies • Experience with Git and collaborative software development workflows • Understanding of software testing principles, including functional and regression testing • Experience supporting SaaS applications in production • Familiarity with cloud infrastructure, particularly AWS • Experience with monitoring and error-tracking tools • Familiarity with automated testing frameworks • Understanding of CI/CD pipelines and software release processes • Experience using AI-assisted development and debugging tools
• Remote work arrangement
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