Senior Software Engineer

About Leadsquared

LeadSquared is a fast-growing SaaS company building marketing automation and CRM solutions that power sales and marketing teams across industries. Trusted by 2,000+ businesses globally, we help companies accelerate revenue with intelligent lead management, process automation, and deep analytics. As we scale our product suite, we're looking for passionate engineers who want to build large-scale systems and create real customer impact.

Role Overview

We are looking for a Senior Fullstack Developer to join our core engineering team in Bengaluru. You will own end-to-end product features — from ideation and architecture through to deployment and monitoring — working closely with product, design, and data teams. This is a hands-on role where your code ships to production and directly impacts thousands of users every day.

Key Responsibilities

End-to-End Product Development: Own complete feature development across the full stack — from API design and backend business logic to polished, performant frontend UIs.Backend Engineering: Design, develop, and maintain scalable RESTful APIs and microservices using Node.js; ensure high availability, fault tolerance, and optimal performance.Frontend Engineering: Build responsive, accessible, and high-quality user interfaces using ReactJS (or equivalent modern framework); enforce best practices in component design and state management.Cloud & Infrastructure: Architect and deploy solutions on AWS, leveraging services such as EC2, Lambda, S3, RDS, SQS, CloudWatch, and more. Drive cost-efficient, scalable infrastructure decisions.AI-Augmented Development: Actively leverage AI coding tools (GitHub Copilot, Claude, ChatGPT, etc.) to accelerate development velocity, improve code quality, and prototype solutions faster.Low-Level Design & Architecture: Lead technical design discussions; produce clear, well-reasoned LLD documents; participate in architecture reviews and ensure solutions are maintainable and extensible.Problem Solving & Debugging: Investigate and resolve complex production issues; perform root cause analysis; proactively identify and fix performance bottlenecks and reliability risks.Code Quality & Reviews: Write clean, testable, well-documented code; conduct thorough code reviews; champion engineering best practices and mentoring within the team.Collaboration: Work in a fast-paced agile environment with cross-functional teams including Product, QA, DevOps, and Design to deliver high-quality features on time.Continuous Improvement: Stay current with emerging technologies, evaluate new tools and frameworks, and proactively advocate for technical improvements that add business value.

Required Skills & Qualifications

Backend

4–6 years of professional experience with Node.js (Express / Fastify / NestJS)Strong understanding of RESTful API design, async programming, and event-driven architectureExperience with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, Redis)Proficiency with message queues and async processing (SQS, RabbitMQ, Kafka, etc.)

Frontend

Strong proficiency in ReactJS (Hooks, Context API, Redux or equivalent) or other modern frontend frameworks (Vue, Angular)Solid command of HTML5, CSS3, JavaScript (ES6+), and TypeScriptExperience building component libraries, design systems, or micro-frontend architecturesFamiliarity with build tooling (Webpack, Vite) and testing frameworks (Jest, React Testing Library)

Cloud – AWS

Hands-on experience with core AWS services: EC2, Lambda, S3, RDS, SQS, CloudFront, VPC, IAMExperience with containerisation and orchestration: Docker, ECS / EKS (Kubernetes)Understanding of CI/CD pipelines (GitHub Actions, CodePipeline, Jenkins)

Problem Solving & Design

Demonstrated ability to break down ambiguous problems into well-structured technical solutionsStrong low-level design (LLD) skills — class diagrams, sequence diagrams, API contracts, DB schema designSound knowledge of data structures, algorithms, and system design principles

AI Tooling

Hands-on familiarity with AI-assisted development tools (GitHub Copilot, Claude, Cursor, ChatGPT, etc.)Ability to craft effective prompts and integrate LLM APIs or AI-powered features into products

GOOD TO HAVE

Experience with SaaS product development at scaleKnowledge of observability tools: Datadog, New Relic, Grafana, ELK stackExposure to GraphQL, gRPC, or WebSocketsContributions to open-source projects or a strong GitHub portfolioPrior experience mentoring junior developers or leading a small engineering pod