Lead Software Engineer - Full Stack

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Skills you'll use

What you'll do

• Eliminate Enterprise Complexity: Demolish the crushing cost and complexity of legacy systems by building clean, modular, and intentionally simple full-stack software architectures.
• Drive Frictionless Support: Deliver people-first AI features and optimized workflows that empower nearly 75,000 global companies to lower their cost-to-serve and provide faster, more human support.
• Build for Global Trust: Architect enterprise-grade CX and IT solutions that scale effortlessly to handle millions of transactions for household brands like Bridgestone, Sony Music, and New Balance.
• Full-Stack Execution: Design, develop, and maintain robust backend microservices, optimized database schemas, and highly interactive frontend application interfaces.
• Full Lifecycle Ownership: Own end-to-end delivery of core product modules—from initial requirement gathering and system design to automated deployment, monitoring, and production support.
• Code Quality & Best Practices: Write clean, extensible, and testable code based on solid Object-Oriented Programming (OOP) concepts and SOLID design principles.
• Cross-Functional Partnership: Collaborate closely with Product Managers, UX Designers, and SRE teams to convert product strategies into high-value platform capabilities fast.
• Production Governance: Ensure backend and frontend infrastructure are tuned for high availability, multi-tenant fault tolerance, security compliance, and comprehensive observability.

Who can apply

• Full-Stack Engineering: Deep technical fluency across backend technologies (REST APIs, microservices, caching layers) and modern frontend development frameworks.
• Core CS Foundations: Strong expertise in Data Structures, Algorithms (DSA), and analyzing time/space complexity trade-offs.
• System Design (HLD/LLD): Proven capability to design scalable, highly available, and fault-tolerant end-to-end multi-tenant systems.
• Data Modeling Rigor: Experience designing database schemas and managing distributed storage layers (RDBMS, NoSQL, and queuing systems).
• AI Tool Fluency: Exposure and experience working with or integrating AI tools to streamline technical execution and user workflows.
• Problem Solving & Articulation: Exceptional analytical logic with a demonstrated capability to break down complex business problems and clearly convey technical design alternatives.

About Freshworks

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