Principal Full Stack Engineer

New

Based in IndiaContractPrincipal

Salary not disclosed

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Job Details

Experience: At least 8 years of software engineering experience
Required Skills: AWSPHPSQLKubernetesNext.jsReactCI/CDRESTful APIsGenerative AI

Have at least 8 years of software engineering experience.
Have experience in a Staff Engineer, Principal Engineer, or Software Architect role within a SaaS environment.
Bring deep expertise in Laravel 10+, PHP 8+, or comparable backend technologies.
Have strong knowledge of RESTful APIs, relational databases, SQL, caching, and backend system design.
Have strong experience with React and modern frontend architecture; Next.js experience is preferred.
Have experience building and operating secure, scalable cloud-native systems, with AWS required.
Have familiarity with event-driven architectures, modular system design, containerized environments, Kubernetes/EKS, asynchronous workflows, and distributed systems.
Understand testing strategies, automated validation, CI/CD pipelines, production observability, performance optimization, and regression prevention.
Have experience using AI coding tools such as GitHub Copilot or Gemini and automating development workflows.
Be familiar with large language model APIs, prompt design, generative AI workflows, or AI agent architectures.

Own the architecture and technical direction of core platform domains, establishing modular boundaries and event-driven workflows.
Design, code, review, debug, and pair on complex engineering challenges across Laravel, PHP, Next.js, and cloud environments.
Work across product squads to resolve engineering problems, lead technical discovery, and deliver initiatives spanning teams and systems.
Define and document architectural principles, coding standards, and development patterns.
Improve testing strategies, CI/CD, regression control, production monitoring, and software delivery quality.
Mentor engineers through design reviews, code reviews, pairing sessions, and constructive feedback.
Evaluate and prototype emerging technologies, including generative AI workflows, AI agents, data pipelines, and Vertex AI.
Partner with engineering leadership and technical leads on architecture, roadmap planning, estimation, and prioritization.
Support improvements to event-driven systems, distributed workflows, cloud infrastructure, and AI readiness.

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