Backend engineer for marketing platforms

Publicis Media; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Pension

Life Assurance

Private Medical cover

Reflection Days

Shared Parental Leave

Job summary

Publicis Media ищет старшего бэкенд‑инженера для проектирования и эволюции бэкенд‑систем и конвейеров данных в OneSuite. Роль предполагает hands‑on кодинг, решение задач в распределённых системах и наставничество команде.

Кандидат будет работать над архитектурой сервисов, практиками разработки и обеспечением масштабируемости, надёжности и безопасности бэкэнд‑платформы. Внесение вклада в CI/CD и инфраструктуру через IaC является частью роли.

Qualifications

• Опыт разработки бэкенд‑систем и архитектурная ответственность за сервисы или распределённые системы.

Responsibilities

• Проектирование распределённых бэкенд‑сервисов и API на Python, FastAPI или аналогах.
• Разработка модульных, наблюдаемых и масштабируемых компонентов backend для оркестрации, пайплайнов и интеграций платформ.
• Определение паттернов микросервисов, границ доменов, кэширования, очередей и устойчивости.

Skills

Python

FastAPI

Flask

Microservices

Async programming

SQL/NoSQL

PySpark

Databricks

Docker

Kubernetes

CI/CD

GitHub Actions

Argo

Tools

CloudFormation

AWS

GCP

Delta Lake

Lakehouse

Job description

Описание

We are seeking a Senior Backend Engineer to lead the design, development, and evolution of backend systems and data pipelines across OneSuite. This is a hands-on engineering role — you will write production-grade code, solve complex distributed systems and data engineering problems, shape backend and pipeline patterns, and guide other engineers through technical influence. As a Senior individual contributor, you will help define service architecture, enforce engineering best practices, and collaborate across teams to ensure OneSuite’s backend systems are scalable, reliable, secure, and performant.

Задачи

• 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.
• 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.
• 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.
• 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.
• 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.

Требования

• 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.
• Будет плюсом: 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.

Условия

• Publicis Media offers 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.