Senior Fullstack Engineer (Fully Remote- India)

Overview

Senior Full Stack Engineer on a growing SaaS engineering team, delivering scalable features across the Rosterfy stack and contributing to the platform's evolution toward version 3 (event-driven architecture and domain-driven development).

What you'll do

• Design and deliver scalable features using Laravel, PHP, React/Next.js, and AWS
• Collaborate closely with QA, Product, and Design to deliver features with user impact in mind
• Build and evolve APIs, integrations, and reusable components
• Participate in improving CI/CD pipelines, testing frameworks, and system performance
• Lead by example in code quality, documentation, and peer mentorship
• Contribute to architectural improvements, technical discovery (feature scoping), and execution of the engineering strategy
• Ensure accessibility and localisation across the multi-region SaaS platform
• Maintain compliance-minded engineering practices (e.g. ISO 27001, SOC 2)
• Own test coverage, pipeline health, and regression control as part of shift-left QA

What you'll need

• 4+ years building SaaS products end-to-end, ideally in multi-region environments
• Comfortable working across the full stack, from frontend to backend
• Strong with Laravel (or modern PHP frameworks) and modern frontend tools (React, Next.js, or Vue), XDebug, and writing unit tests
• Front and back end engineering expertise
• Experience working in ISO/SOC2 compliant environments
• Understands accessibility, scalability, and localisation for global users
• Comfortable operating in cloud-native stacks using AWS, Kubernetes (EKS), CI/CD pipelines, and observability tooling
• Experienced in designing within and around a modular monolith architecture
• Skilled in relational databases (Aurora MySQL, PostgreSQL), with a strong focus on data modelling for scale and performance

Nice to have

• Mobile (React Native) experience
• Experience with data products like Looker, BigQuery, or analytics pipelines
• Exposure to event-driven systems, asynchronous workflows, or message queues (e.g. AWS SQS, Kafka, Pub/Sub)
• Experience with design systems or frontend architecture
• Experience with platform engineering or building shared infrastructure in modular monoliths
• Any exposure to AI-driven tooling or systems
• Feature delivery velocity using AI tools (Copilot, Gemini, test automation, scaffolding)
• Building AI-augmented product experiences (LLM API usage, prompt design)
• Coaching others on integrating GenAI into workflows

Details

• Reports to the Technical Lead
• Flexibility in work hours and location, with a focus on managing energy rather than time