Manager, Back-End Engineer

Company description

Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.

We are seeking a Manager‑level Backend Engineer to architect, build, and lead the backend systems that power scalable, multi‑cloud AdTech and Mar Tech platforms
, analytics execution, and AI‑driven workflows.

This role carries end‑to‑end technical ownership for backend architecture and execution layers—designing the services, APIs, and protocols that connect data, analytics, activation, and operational systems. The ideal candidate combines deep distributed systems expertise
, strong platform engineering judgment
, and the ability to lead complex technical initiatives across teams and domains.

Why This Role Matters

This role sits at the core of the organization’s technology and intelligence platforms
. The Manager of Backend Engineering will define how data, analytics, AI, and activation systems connect, scale, and operate
, enabling faster innovation, safer automation, and durable competitive advantage.

Role Objectives:

• Platform & System Architecture

• Architect and own scalable, multi cloud backend platforms that integrate AdTech and Mar Tech systems across planning, activation, measurement, and optimization
• Define system level architecture patterns for distributed services, event driven workflows, and execution layers
• Design backend systems that support high throughput, low latency, and fault tolerant operations at enterprise scale
• Establish architectural standards for interoperability, extensibility, and long term platform evolution

• Backend Services & Execution Layers

• Design and lead development of backend services that support execution, orchestration, scheduling, monitoring, and operational control
• Build and manage services that bridge analytics, ML models, agent workflows, and activation systems
• Own service lifecycle management including versioning, backward compatibility, and deprecation strategies
• Ensure backend systems are secure, observable, and production ready

• API & Integration Strategy

• Define and own API strategy across internal and external systems, including REST and event based interfaces
• Design integration patterns for connecting internal platforms with commercial AdTech and Mar Tech ecosystems
• Establish clear contracts, schemas, and governance for cross system communication
• Lead development of shared backend tooling that accelerates partner and platform integrations

• AI Agent & Protocol Enablement

• Design and lead development of a flexible backend stack to support AI agents and intelligent workflows
• Define tools, APIs, and protocols that enable agents to interact with data, models, and execution services
• Partner with data science and product teams to product ionize agent driven workflows safely and at scale
• Ensure agent systems operate within clear guardrails for security, auditability, and control

• Technical Leadership & Ownership

• Act as the senior technical authority for backend and platform engineering decisions
• Lead and mentor senior engineers and architects across backend and platform teams
• Collaborate closely with product, data engineering, analytics, and infrastructure leaders
• Drive technical roadmap planning and prioritize platform investments aligned to business goals

Required Skills & Technical Qualifications

Backend & Platform Engineering

• Extensive experience designing and operating large scale backend systems and distributed architectures
• Strong expertise in API driven system design, service orchestration, and execution platforms
• Deep understanding of microservices, event driven architectures, and asynchronous processing
• Experience operating backend systems in multi cloud environments (AWS, Azure, GCP)

Programming & Frameworks

• Advanced proficiency in backend…