Senior Backend Engineer

Publicis Groupe
London, UK
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Automation of Tests Cloud Computing Code Review Computer Programming Continuous Integration Data as a Services Information Engineering Extract Transform Load (ETL) Distributed Systems
+33 more
Amazon DynamoDB Github Python (Programming Language) PostgreSQL Load Testing MongoDB Node.Js NoSQL Software Architecture Redis Cloud Services Service Design SQL Databases Data Streaming Data Logging Flask (Web Framework) Large Language Models Concurrency Caching Reliability of Systems Backend Rate Limiting Fastapi Event Driven Architecture Kubernetes Production Code Enterprise Integration Apache Kafka Api Gateway Amazon Simple Queue Service (SQS) Docker Jenkins Microservices

Job description

Backend engineering is foundational across all OneSuite - providing the APIs, integration layers, orchestration runtimes, and backend systems that power every charter, from Agent Studio to AOE, DFP, Channels, and SRE., We are seeking a Senior Backend Engineer (Individual Contributor) to lead the design, development, and evolution of backend systems across OneSuite. This is a hands-on engineering role - you will write production-grade code, solve complex distributed systems problems, shape backend patterns, and guide other engineers through technical influence (not supervision). As a Senior IC, you will help define service architecture, enforce engineering best practices, and collaborate across multiple charters to ensure OneSuite’s backend systems are scalable, reliable, secure, and performant. Backend Architecture & System Design

  • Architect distributed backend services and APIs using Python, FastAPI, Node.js, or equivalent frameworks.
  • Design modular, observable, and scalable backend components for orchestration, data services, 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.

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 charters.

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 Studio, AOE, DFP, Channel, and SRE teams on shared backend designs.
  • Collaborate with Product Managers and UX research teams to translate requirements into backend capabilities.
  • Align architecture decisions across charters to ensure consistency and maintainability.

Requirements

  • Demonstrable backend engineering experience, with architectural ownership over services or distributed systems.
  • Expertise in Python, FastAPI, Flask, or Node.js and 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).
  • Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS or GCP).
  • Strong CI/CD experience using GitHub Actions, Jenkins, Argo, or similar tools.
  • Deep knowledge of observability practices - logs, metrics, traces, performance analysis.
  • Proven ability to write clean, testable, well-structured production code.

Qualifications - Nice to Have

  • Experience with streaming or queuing systems (Kafka, Pub/Sub, SQS).
  • Familiarity with AI/LLM systems (AOE integration), though not required across all charters.
  • Knowledge of data engineering patterns or ETL/ELT workflows.
  • Prior experience with API gateway architectures, caching layers, or service meshes.
  • Exposure to cybersecurity best practices and secure service design.

Apply for this position

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