Back-End Architect

Publicis Groupe Holdings B.V.; Gurgaon; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Publicis Groupe Holdings B.V. is seeking an experienced Back-End Architect to build scalable backend engines for its AI-driven agentic workflow platform. You will design APIs, integrate AI/ML components, and collaborate with data scientists and front-end engineers to deliver robust services.

You will lead architecture, implement asynchronous patterns with Kafka/RabbitMQ, deploy with Docker and Kubernetes, and ensure high performance, reliability, and scalability across cloud environments.

Qualifications

• BS in Computer Science or related field.
• 8+ years of Python development experience.
• Strong knowledge of asynchronous programming with Kafka, RabbitMQ, SQS or Cloud Tasks.
• Experience designing, building, and deploying microservices.
• Proficiency with RESTful APIs and GraphQL.
• Experience in distributed cloud environments (AWS, GCP).
• Familiarity with Docker and Kubernetes.
• Experience with unit testing and TDD.
• Excellent communication and teamwork.

Responsibilities

• Design, develop, and maintain robust APIs using Python for a modular architecture.
• Champion asynchronous programming patterns with Kafka, RabbitMQ, or Cloud Tasks.
• Integrate AI/ML models into the workflow engine with data science teams.
• Design RESTful and GraphQL endpoints for microservices.
• Write clean, tested, well-documented code and review peers' work.
• Collaborate with front-end engineers to integrate services.
• Develop testing frameworks and ensure high-quality delivery.
• Work with DevOps to deploy, monitor, and scale using Docker and Kubernetes.
• Participate in code reviews and process improvements.
• Engage in grooming sessions and slice functionality for quick user value.
• Stay updated on Python, async programming, and AI/ML trends.

Skills

Python development

Asynchronous programming

Microservices architecture

REST & GraphQL APIs

Unit testing / TDD

Cloud platforms (AWS/GCP)

Agile methodologies

Communication skills

Education

BS in Computer Science

Tools

Docker

Kubernetes

PostgreSQL

MongoDB

AWS

Kafka

Job description

Job Description

Company Description

We are on a mission to revolutionize performance marketing through the power of AI and agentic workflows. Our application suite helps Publicis Groupe Performance experts drive holistic search, social, programmatic, and commerce marketing strategies for our global clients. Global teams use our applications to improve their performance results and save money. We are seeking a passionate and experienced Back-End Architect to join our team and take a leading role in building the powerful engines that will drive our next-generation platform.

Overview

As a Back-End Architect, you will play a critical role in building the engines that drive our platforms capabilities. Your expertise in building scalable and efficient backend systems will directly impact the performance, reliability, and scalability of our applications, ultimately contributing to the success of our clients marketing campaigns. This is an opportunity to make a significant impact on the technical direction of our platform and contribute to the growth of our business.

Responsibilities

• Design, develop, and maintain robust and scalable APIs using Python and related frameworks (e.g., Django, Flask) for our agentic workflow platform, adhering to our distributed, modular, and asynchronous architecture.
• Champion best practices for asynchronous programming in Python (e.g., Kafka, RabbitMQ, SQS, Cloud Tasks).
• Integrate cutting-edge AI/ML models and LLMs into the workflow engine, working closely with data science teams.
• Design and implement RESTful APIs and GraphQL endpoints for seamless communication between microservices and with external systems.
• Write clean, well-documented, and testable code, adhering to best practices for software development.
• Collaborate with front-end engineers to integrate backend APIs and services.
• Develop robust testing frameworks and processes to ensure high-quality code delivery.
• Work closely with DevOps engineers to ensure seamless deployment, monitoring, and scaling of backend systems using containerization technologies like Docker and orchestration tools like Kubernetes.
• Participate in code reviews and contribute to the continuous improvement of our codebase and development processes.
• Participate in grooming sessions, asking questions to clarify meaning and intent, and suggest deliverable slices of functionality to provide benefit to the user in the shortest amount of time.
• Stay abreast of the latest technologies and trends in Python development, asynchronous programming, and AI/ML integration.

Qualifications

• BS in Computer Science or a related field.
• 8+ years of experience in Python development, with a strong understanding of object-oriented programming, design patterns, and best practices.
• Deep understanding and hands-on experience with asynchronous programming paradigms and technologies in Python (e.g., Kafka, RabbitMQ, SQS, Cloud Tasks).
• Experience designing, building, and deploying microservices-based architectures.
• Familiarity with RESTful APIs and GraphQL.
• Experience working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB).
• Experience working in distributed cloud environments (e.g. AWS, Google Cloud Platform).
• Familiarity with containerization technologies like Docker and Kubernetes.
• Solid understanding of data structures, algorithms, and software design principles.
• Experience with unit testing and test-driven development (TDD).
• Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
• Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Experience working in an Agile development environment and experience in breaking Epics into deliverable slices of functionality.

Bonus Points

• Experience with AI/ML model deployment and integration.
• Familiarity with performance marketing concepts and technologies.
• Contributions to open-source projects.