Lead Software Engineer - Full Stack

Skills this role screens for

About the role

At Freshworks, we build uncomplicated service software designed to eliminate friction and reduce business complexity. As a Lead Full Stack Engineer (IC3), you will be the driving force turning this vision into high-performance software—engineering robust backend systems and responsive frontend layers that deliver exceptional customer and employee experiences at scale.

Also

Impact You Can Create

• 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.

The work

Roles & Responsibilities (R&R)

• 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.
• Performance Optimization: Proactively identify and resolve multi-tier performance bottlenecks, from database execution bottlenecks to client-side page rendering latencies.
• Technical Mentorship: Drive engineering best practices across the track, conduct thorough code reviews, and mentor junior-to-mid-level systems engineers.

Who they want

Skills

• 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.

Who they want

Qualifications

At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.

• Professional Timeline: 5 to 8 years of progressive experience building and scaling software products within fast-paced product engineering teams.
• Production Track Record: A verifiable history of shipping enterprise-grade SaaS features at scale and supporting them through successive production iterations.
• Execution Style: A proactive self-starter who thrives in agile environments, navigates ambiguity effectively, and actively balances fast feature delivery with long-term code health.
• Education Baseline: Degree in Computer Science, Engineering, or a related technical field.