Principal Full Stack Engineer

• Own the architecture and technical direction for core platform domains used by both squads
• Spend 60–80% of time hands-on designing, coding, reviewing, pairing, and debugging in Laravel, Next.js, and cloud environments
• Lead technical discovery and delivery of high-impact initiatives crossing team boundaries or requiring significant architectural change
• Define, document, and promote architectural principles, coding standards, and scalable, resilient, observable system patterns
• Champion shift-left testing, CI/CD improvements, production observability, test design, and validation
• Mentor senior and mid-level engineers through design reviews, pairing, and feedback
• Evaluate and prototype emerging technologies such as Vertex AI, GenAI workflows, and data pipelines
• Represent engineering considerations in roadmap planning, estimation, and trade-off decisions
• Work across both product squads on cross-cutting systems and difficult technical problems
• Partner with Engineering Leadership on long-term architecture and Tech Leads on execution and engineering practices
• Lead test strategy and validation; own test coverage, pipeline health, and regression control
• Drive scalability, stability, technical alignment, engineering quality, AI readiness, and multi-cloud platform capabilities

• 8+ years in software engineering, including experience as a staff/principal engineer or architect in a SaaS company
• Deep expertise in backend engineering with Laravel (Laravel 10+ and PHP 8+) or similar languages, SQL/relational databases, caching, and RESTful APIs
• Strong frontend design and architectural experience with React/Next.js
• Experience working with scalable, secure cloud infrastructure (AWS required, & CGP)
• Familiarity with event-driven or modular architectures and containerized environments (e.g., EKS/Kubernetes)
• Deep understanding of software testing strategies and CI/CD pipelines
• Experience with Looker, BigQuery, ML pipelines, or distributed system performance tuning (bonus)
• Experience with Agent AI Architecture (bonus)
• Feature delivery velocity using Copilot, Gemini, test automation, and scaffolding
• Experience building AI-augmented product experiences, including LLM API usage and prompt design
• Ability to coach others on integrating GenAI into workflows
• Ability to lead through influence, mentor engineers, set standards, and share knowledge
• Documentation-first approach, including documenting decisions, code, and processes

• Flexibility in work hours and location, with a focus on managing energy rather than time.
• Access to online learning platforms and a budget for professional development
• A collaborative, no-silos environment, encouraging learning and growth across teams
• A dynamic social culture with team lunches, social events, and opportunities for creative input
• Health insurance
• Leave Benefits
• 13th Month Salary