Back-End Architect

Publicis Groupe · Bengaluru, Gurugram

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 platform's 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.

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.

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.

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