Back End Engineer
WPP (company site, opens in a new tab)5+ yrsGurugramOn-siteDirect career pageEst. 20–35 LPA
Posted 1h ago
Reach people at WPP
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at WPP you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own and maintain a backend-heavy service component including design, API, tests, monitoring, and incident triage within an AI-enabled marketing platform.
- Build and ship production-quality code every sprint following test-driven development, including backend services and React frontend interfaces.
- Mentor less experienced engineers, review code rigorously, and collaborate across global teams to explain technical trade-offs and lead architectural decisions.
Minimum Requirements
- Bachelor's degree or equivalent practical experience.
- Minimum 5 years of professional software development experience in TypeScript and Node.js or Python.
- At least 3 years experience testing, maintaining or launching production software and 1 year in software design and architecture.
- Experience working in globally distributed teams and proficiency with backend development using NestJS, Fastify, or FastAPI frameworks.
Ideal Candidate Profile
- Strong backend engineering skills with deep knowledge of TypeScript/Node.js or Python and runtime validation frameworks (Zod or Pydantic).
- Experienced in designing REST APIs, cloud services (AWS Lambda and Kubernetes), asynchronous systems, and database management (PostgreSQL, DynamoDB, MongoDB).
- Demonstrated ability to lead incident triage, mentor engineers, maintain observability and reliability, and build AI-integrated production features.