Back
Senior fullstack title is popular but seniority and AI-assisted coding specialty moderate applicant density.
Core fullstack skills are transferable, though enterprise and LLM/agentic tooling preferences add moderate domain bias.
Many mandatory technical expectations and enterprise/SDLC controls create stringent screening and skill gating.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy scalable full stack applications including front-end (React) and backend services, APIs, microservices in cloud-native environments.
Own production-quality software delivery with responsibilities across design, development, testing, performance tuning, DevOps, and production support including incident response.
Leverage AI-assisted and agentic coding tools to improve development velocity, code quality, and maintainability while operating in a controlled SDLC environment.
Senior-level hands-on experience building end-to-end full stack applications in production environments.
Proficient with React.js for front-end, and back-end languages such as Python or Java; experience with REST and/or GraphQL APIs and microservices.
Experience with containerized/cloud-native environments (Docker, Kubernetes), CI/CD pipelines, and cloud platforms (Azure preferred).
Work Experience Required: Senior-level hands-on experience as explicitly mentioned; Notice period: Not explicitly mentioned in the JD.
Demonstrated ability to operate in fast-paced, high-expectation environments with production ownership and cross-functional collaboration.
Experienced with AI-assisted and agentic coding tools (OpenAI/Codex, GitHub Copilot, Claude etc.) integrated responsibly in professional workflows.
Strong technical judgment in scalable system architecture, performance optimization, and modern software design patterns with familiarity in cloud-native deployments.