Software Development Engineer III - Full Stack Development - Ads Manager Team

Team: LeadGen

Location: Delhi

Commitment: Employee India

Workplace Type: remote

Responsibilities

• Design and build scalable backend services and APIs for Ads Manager.
• Develop integrations with advertising platforms such as:
  • Meta Ads
  • Google Ads
  • LinkedIn Ads
  • Other ad ecosystems
  • Build systems for:
    • Campaign publishing
    • Audience targeting
    • Attribution tracking
    • Analytics & reporting
    • Ad automation workflows
    • Improve campaign publishing reliability and reduce user drop-offs.
    • Collaborate with Product and Design teams during requirement and feasibility discussions.
    • Participate in architectural discussions and technical decision-making.
    • Optimise application performance, scalability, and reliability.
    • Write clean, maintainable, and testable code.
    • Contribute to engineering best practices, code reviews, and SDLC improvements.

    Team & Execution

    • Take ownership of features end-to-end.
    • Participate actively in sprint planning, estimation, and retrospectives.
    • Work closely with QA to ensure quality releases.
    • Collaborate proactively across teams and communicate effectively on blockers and progress.

Your Core Skills

• • 4+ years of software engineering experience.

  • Strong proficiency in:

    • Node.js

    • TypeScript / JavaScript

    • MongoDB

    • REST APIs

    • Experience building scalable backend systems and microservices.

    • Good understanding of distributed systems and asynchronous processing.

    • Experience with cloud platforms such as AWS or GCP.

    • Familiarity with CI/CD pipelines and modern development workflows.

    • Strong debugging, analytical, and problem-solving skills.

    • Ability to work independently with strong ownership and accountability.

    •  

Additional Skills

• Experience with Vue.js or React.js.

• Experience working with Ads APIs or MarTech products.

• Familiarity with:

  • Event-driven architectures

  • Redis, Kafka, RabbitMQ, or similar technologies

  • Analytics and reporting systems

  • Exposure to AI-powered or automation-driven products.

  • Experience working in fast-paced SaaS environments.