Level

WPP

Back End Engineer

WPP is hiring a Back End Engineer. Level rates it ; you can apply on WPP.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
  • The posting mentions OpenAI, Claude and Anthropic among its tools and skills.
  • Level classes it as a senior role.
  • WPP has 204 other open roles on Level.
  • Posted in the last few days.

AI in this role

Build and maintain backend services and AI-enabled features using TypeScript, Node.js, and LLM APIs at WPP Open.

openaiclaudeanthropiclanggraphclaude-codetypescriptnode-jsaws-lambdakubernetesplaywright
ai-agentssoftware-designapi-designbackend-developmentci-cd

WPP is the trusted growth partner for the world’s leading brands. 

We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. 
 
We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.
 
Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. 
 
For more information, visit WPP.com.
 

Senior TypeScript Engineer
WPP Open · Engineering · Gurugram

About the job:
WPP Open is WPP's AI-enabled marketing operating system, used by brands and agencies around the world. Our engineering teams in India build and run it alongside colleagues in the UK and Europe. As a Senior Engineer you own a component or service, from its design and API to its tests and production health, and you mentor other engineers. Our interviews are practical and hands-on.

Responsibilities:
• Design, build, test and ship production code every sprint, test-first.
• Own a component or service end to end: its design, OpenAPI contract, data model, Playwright test suite, monitoring and runbook.
• Write design documents and architecture decision records for your component, and review other engineers' code with rigour and care.
• Choose between AWS Lambda and Kubernetes for your workloads, and build and maintain the CI/CD pipeline that ships them.
• Lead triage when your component fails, write post-incident reviews and fix the underlying causes.
• Build production AI features on the Anthropic and OpenAI APIs, and maintain your component's Claude Code configuration and MCP server.
• Explain technical trade-offs to product and delivery colleagues, including colleagues in other regions.
• Mentor less experienced engineers and help new joiners become productive quickly

Minimum qualifications:
• Bachelor's degree or equivalent practical experience.

• 5 years of professional software development in TypeScript and Node.js.

• 3 years of experience testing, maintaining or launching production software, and 1 year of experience with software design and architecture.

• Experience working in globally distributed teams across time zones, with stakeholders in other regions.

• Language and craft. You write strict, idiomatic TypeScript, including advanced types and runtime validation at service boundaries with Zod. You understand the Node.js event loop well enough to recognise and fix blocking work, and you can profile CPU and memory when a service misbehaves. You know NestJS or Fastify in depth and structure packages so that a codebase stays easy to change.

• APIs and data formats. You design REST APIs with OpenAPI and own the contract for your service, including versioning, backwards compatibility, idempotency keys, rate limiting and webhooks. You know when to use JSON and when to use Protocol Buffers, and you check schema compatibility automatically in your pipeline.

• Data. You design PostgreSQL schemas and change them without downtime, tune slow queries and understand transaction isolation. You model data well in both DynamoDB and MongoDB, use Redis for caching, and choose the right store for each workload with clear reasons.

• Asynchronous systems and reliability. You design producers and consumers on queues such as SQS and BullMQ, with retries, dead-letter queues and idempotent handlers so that at-least-once delivery is safe. You recognise when these safeguards are needed before anyone asks.

• Cloud and platform. You design services on AWS Lambda, with sensible function boundaries, concurrency settings, dead-letter queues and Step Functions or EventBridge where needed, all defined 
as code with AWS CDK or SAM. You operate workloads on Kubernetes, including Helm, autoscaling, rollouts and rollbacks, and you choose between serverless and containers for each workload.

• Testing and quality. You practise test-driven development and apply it to the design of whole components, not just individual functions. You write integration and contract tests with Testcontainers and
own your component's Playwright test suite, including test data, parallel runs and removing flaky tests.

• Observability and performance. You instrument services with OpenTelemetry, own the Datadog monitors, alerts and CloudWatch alarms for your component, and lead triage and post-incident reviews 
when it fails. You set performance budgets, profile under realistic load, and find memory leaks and blocking work in production.

• Security and identity. You implement OAuth 2.0 and OpenID Connect end to end, including the authorisation-code flow with PKCE and client credentials for service-to-service calls. You design role based access control, rotate secrets and keys, and secure your supply chain with dependency scanning and static analysis in the pipeline.

• Architecture and design. You design a service from a short brief, write design documents and architecture decision records that name the trade-offs, and design for backwards compatibility so that 
changes do not break the people who depend on your service.

• Engineering practices. You work trunk-based with GitHub Flow and hold others to it in code review. You build and maintain CI/CD pipelines, treat every dependency as something to pin and upgrade on a regular cadence, and write documentation for the people who will read it.

• AI-first engineering and LLMs. You build production features on the Anthropic and OpenAI APIs, using tool calling, structured output and evaluations, and you track token usage and cost. You maintain the Claude Code configuration for your component, including CLAUDE.md, skills and subagents, and have built an MCP server that exposes your service to AI agents.

• Communication, collaboration and initiative. You communicate clearly and concisely, and you explain technical trade-offs to product, design and delivery colleagues in terms they can act on. You understand  problems quickly and confirm shared understanding before acting. You collaborate well across locations and time zones, working asynchronously and handing over cleanly. You are proactive: you spot problems before you are asked, propose solutions and improvements of your own, and see them through without waiting for instructions.

• Leadership and behaviours. You review others' code with rigour and care, mentor less experienced engineers, and disagree openly when you need to and then commit fully to the decision. You say "I don't know" when you don't, and you dig in until you do.


Preferred qualifications:
• B.Tech or B.E. in Computer Science, Information Technology or a related field.
• Experience with monorepo tooling such as Nx or Turborepo at scale.
• Experience with Kafka and change data capture.
• Experience with behaviour-driven development using Cucumber.
• Experience with Bigtable.
• Experience shipping an AI agent with LangGraph, Google ADK or the Anthropic Agent SDK.
• Experience configuring an identity provider such as Okta, Keycloak or Cognito.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.

How we rate this

Back End Engineer at WPP rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsSoftware DesignAPI DesignBackend DevelopmentCI/CDOpenAIClaudeAnthropic

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where software design was part of your work. What did you do?
  3. Tell me about a project where api design was part of your work. What did you do?
  4. Tell me about a project where backend development was part of your work. What did you do?
  5. Tell me about a project where ci/cd was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Software Design, API Design, Backend Development, and CI/CD. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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