Backend engineer for marketing platforms
Summary
Senior backend engineer on Publicis Media's OneSuite marketing platform: designs distributed Python/FastAPI services and large-scale data pipelines (PySpark, Databricks, medallion architecture) on AWS/GCP, plus CI/CD, observability, and mentoring other engineers. Office-based in London four days per week.
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.
Skills
- Agentic AI
- AI
- Analytics
- API
- API Gateway
- Authentication
- AWS
- CI/CD
- Cloud
- CloudFormation
- Data Engineering
- Data Pipelines
- Data Quality
- Data Science
- Databricks
- Delta Lake
- Distributed Systems
- Docker
- DynamoDB
- ELT
- ETL
- Event Driven Architecture
- FastAPI
- Flask
- GCP
- GitHub
- GitHub Actions
- gRPC
- Infrastructure as Code
- Kafka
- Kubernetes
- Lakehouse
- LLM
- Medallion Architecture
- Microservices
- MongoDB
- NoSQL
- Observability
- PostgreSQL
- PySpark
- Python
- Redis
- SQL
- SQS
- SRE
- Test Automation
- Unity
- Unity Catalog
