Lead Software Engineer (Full Stack)

Your Role

• Primary Focus – Full Stack Architecture & Technical Leadership:
• Lead technical design, code reviews, and hands-on execution across both front-end ( React ) and back-end (.NET Core ) stacks.
• Architect scalable microservices, micro-frontends, and API gateways that handle high-volume enterprise transactions efficiently.
• Lead database modeling, complex SQL optimization, data layer design, and transaction management across enterprise data systems.
• Drive engineering best practices across teams: automated unit/integration testing, clean architecture, design patterns, and application security.
• Mentor developers on full-stack techniques, code quality, and technical decision-making.
• Experience in using with tools like Visual Studio Code for development, BitBucket as source code repository
• Knowledge of either Mocha / Jasmine / Jest for Unit Testing
• Development experience in Agile Scrum model
• Secondary Focus – GCP Ecosystem & AI Capability Acceleration:
• Oversee application deployment strategies on Google Cloud Platform (GCP), ensuring high availability, security, and cloud efficiency.
• Identify and architect integration patterns for AI/ML capabilities (such as Google Gemini, GenAI pipelines, RAG patterns, or automated search) to elevate software platform capabilities.
• Partner with Solution Architects, Product Managers, and DevOps teams to refine technical roadmaps and deliverable 2-week sprint plans.
• What You Bring to the Role
• Education: Bachelor’s, Master’s, or equivalent advanced degree in Computer Science or technical discipline.
• Experience: 5-8+ years in software development with 3+ years leading engineering pods or technical teams.
• Core Technical Leadership (Primary Focus):
• Expert-level full-stack development experience utilizing.NET Core / C# for scalable backend engines and REST/gRPC services.
• Advanced mastery of React ecosystem (TypeScript, state management, performance optimization, and modular UI architectures).
• Deep expertise in SQL / Relational Databases, data architecture, index tuning, and distributed query performance.
• Secondary & Supporting Skills:
• Hands-on familiarity with cloud hosting and infrastructure on Google Cloud Platform (GCP) (GKE, Cloud Run, Pub/Sub, Cloud SQL).
• Strategic understanding of how to operationalize AI/LLM tools (Google Gemini, OpenAI/Copilot, prompt engineering) within enterprise web applications.
• Strong background in enterprise systems integration, API gateways, and CI/CD automation pipelines.
• Specialized Knowledge & Skills
• Strong leadership, decision-making, and conflict resolution skills in Agile/Scrum environments.
• Proven ability to balance speed of delivery with long-term code maintainability and enterprise architecture standards.
• Exceptional communication skills with the ability to articulate technical strategies to both engineers and business stakeholders.