Senior Backend Engineer

Publicis Groupe UK; Greater London; Híbrido; GBP 110.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Pension

Life Assurance

Private Medical cover

Reflection Days

Shared Parental Leave

Descripción de la vacante

Publicis Digital Experience is seeking a senior backend architect to own system design across distributed services and data pipelines. You will architect APIs, implement secure, scalable patterns, and drive observability and reliability across the platform.

You will work with Python, FastAPI, Flask, and modern cloud-native stacks (AWS/GCP), while advancing CI/CD practices and collaborative development. This role emphasizes leadership without direct people management and a strong focus on

Formación

• Extensive backend engineering experience with ownership over services or distributed systems.
• Expertise in Python, FastAPI, and Flask with modern backend patterns.
• Strong understanding of microservices, concurrency, async programming, and event-driven architectures.
• Proficiency with SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis, MongoDB).
• Experience with PySpark and Databricks, including medallion architecture.
• Hands-on with Docker, Kubernetes, CloudFormation, and cloud platforms (AWS or GCP).
• Strong CI/CD experience using GitHub Actions, Argo, or similar tools.
• Deep knowledge of observability practices—logs, metrics, traces, performance analysis.
• Proven ability to write clean, testable production code.

Responsabilidades

• Architect distributed backend services and APIs.
• Design modular, observable, scalable backend components for orchestration and data pipelines.
• Define patterns for microservices, caching, queuing, resiliency, and error handling.
• Build robust service-to-service communication (REST, gRPC, event-driven).
• Implement secure auth, rate limiting, and multi-tenant controls.
• Design and maintain data pipelines using PySpark and Databricks with medallion architecture.
• Build and optimize ETL/ELT workflows for marketing performance data at scale.
• Collaborate with analytics teams to ensure clean, well-modeled data assets.
• Write maintainable, production-ready code and integrate with external APIs.
• Lead CI/CD pipelines and infrastructure-as-code; mentor engineers.
• Improve platform reliability through observability, testing, and alerting.

Conocimientos

Python

FastAPI

Flask

Microservices

Async programming

SQL/NoSQL databases

PostgreSQL

DynamoDB

Redis

MongoDB

PySpark

Databricks

Docker

Kubernetes

CloudFormation

AWS

GCP

GitHub Actions

Argo

Observability

Herramientas

Databricks

AWS

GCP

Docker

Kubernetes

CloudFormation

GitHub Actions

Argo

Descripción del empleo

Company Description

Publicis Mediaharnesses the power of modern media through leading agency brandsDysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, StarcomandZenith, as well as global acceleratorPMX; immersive experience group PMCI and access to integrated platform-based technologies and offerings fromCJ, EpsilonandInfluential.A key business solution of Publicis Groupe, Publicis Media’s digital-first, data-driven global solutions deliver client value anddrive growth in a platform-poweredworld. It is present in over 100 countries with over 23,000 employees worldwide.About Performics & OneSuitePerformics is the Performance Centre of Excellence within Publicis Groupe, delivering technology, data, and AI-driven marketing solutions for global brands. OneSuite is our unified marketing intelligence and automation platform powering agentic workflows, data processing, analytics services, and channel automation across Search, Social, Programmatic, Commerce, and Measurement.Backend and data engineering are foundational across OneSuite — providing the APIs, data pipelines, integration layers, orchestration runtimes, and backend systems that power campaign activation across Search, Social, Commerce, Programmatic, and Measurement.

Responsibilities

Core Responsibilities

Backend Architecture & System Design

• Architect distributed backend services and APIs using Python, FastAPI, or equivalent frameworks.
• Design modular, observable, and scalable backend components for orchestration, data pipelines, and platform integrations.
• Define patterns for microservices, domain boundaries, caching, queuing, resiliency, and error handling.
• Build robust service-to-service communication mechanisms (REST, gRPC, event-driven patterns).
• Implement secure authentication, authorization, rate limiting, and multi-tenant access controls.

Data Engineering & Pipeline Development

• Design and maintain data pipelines using PySpark and Databricks, following the medallion architecture (Bronze/Silver/Gold) for structured data transformation and quality.
• Build and optimize ETL/ELT workflows that ingest, transform, and serve marketing performance data at scale.
• Collaborate with analytics and data science teams to ensure clean, well-modeled, and accessible data assets across the lakehouse.
• Implement data quality checks, schema enforcement, and lineage tracking across pipeline stages.

Hands-On Backend Development

• Write high-quality, maintainable, production-ready code.
• Integrate with external APIs (marketing platforms, cloud services, internal microservices).
• Build and maintain CI/CD pipelines and infrastructure-as-code environments.
• Lead code reviews, mentor engineers, and ensure high engineering standards.
• Contribute to platform SDKs, internal libraries, and backend frameworks used across the platform.

Performance, Reliability & Observability

• Implement tracing, structured logging, metrics, dashboards, and alerting.
• Optimize services for latency, concurrency, throughput, and cost efficiency.
• Ensure system reliability through automated testing, load testing, error budgets, and resiliency strategies.
• Partner with SRE to define SLIs/SLOs and improve platform-wide reliability.

Cross-Functional Collaboration

• Work closely with product, data, and SRE teams on shared backend designs across campaign activation domains.
• Align architecture decisions across teams to ensure consistency and maintainability.

Qualifications

Must Have

• Extensive backend engineering experience, with architectural ownership over services or distributed systems.
• Expertise in Python, FastAPI, and Flask with modern backend development patterns.
• Strong understanding of microservices, concurrency, async programming, and event-driven architectures.
• Proficiency with SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis, MongoDB) and familiarity with lakehouse platforms.
• Experience with or strong willingness to work in PySpark and Databricks, including the medallion architecture (Bronze/Silver/Gold).
• Hands-on experience with Docker, Kubernetes, CloudFormation, and cloud platforms (AWS or GCP).
• Strong CI/CD experience using GitHub Actions, Argo, or similar tools.
• Deep knowledge of observability practices — logs, metrics, traces, performance analysis.
• Proven ability to write clean, testable, well-structured production code.

Nice to Have

• Experience with streaming or queuing systems (Kafka, Pub/Sub, SQS).
• Familiarity with AI/LLM systems and agentic workflow integration.
• Experience with Delta Lake, Unity Catalog, or other lakehouse governance and optimization tools.
• Prior experience with API gateway architectures, caching layers, or service meshes.
• Full stack engineering with product experience.
• A curious mind with memorable stories to share and hobbies that surprise people.

Core Competencies

Technical Expertise: You own backend architecture and data pipeline design across services, solving complex distributed systems and data engineering problems while defining reusable patterns that improve scalability, reliability, and developer velocity.

Leadership: You lead through influence — mentoring engineers, guiding architectural decisions, establishing engineering standards, and elevating backend craftsmanship without direct people management.

Product Impact: Your backend systems directly shape OneSuite’s performance, availability, and functionality across campaign activation for Search, Social, Commerce, Programmatic, and Measurement.

Innovation & Learning: You stay current with emerging architecture patterns, cloud-native technologies, data platforms, and backend frameworks. You introduce pragmatic innovations that deliver measurable engineering and product value.

Collaboration: You work across teams — aligning backend direction and ensuring platform cohesion across campaign activation domains. You communicate clearly, build consensus, and drive clarity in complex system discussions.

Additional Information

Publicis Mediaoffers a wide range of benefits to support our employees. Full details are shared when you join, but highlights include core benefits such as Pension, Life Assurance, and Private Medical cover, alongside enhanced policies like Reflection Days and Shared Parental Leave. You’ll also have access to a range of additional initiatives, including:

Please check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups).

Publicis Groupe works primarily from the office or our clients' office four days per week.

At Publicis Media we are proud to be an equal opportunities employer. We welcome and encourage applications from people of all backgrounds, and do not discriminate on the basis of race, ethnicity, nationality, religion or belief, disability, age, citizenship, relationship status, sexual orientation, gender identity, or any other protected characteristic.

We are committed to providing a fair, accessible, and inclusive recruitment process. If you have any access needs - for example, related to disability, neurodivergence, or a health condition - please let us know. We’ll work with you to ensure the process works for you. Sharing this information will never impact your application.

Guided by our values, we listen with empathy, uplift each other, take responsibility, and embrace change - building a culture where everyone feels seen, respected, and genuinely included.