Senior Software Engineer

Capgemini is a global business and technology transformation partner helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340000 team members in more than 50 countries. With its strong over 55-year heritage Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering all fueled by its market leading capabilities in AI generative AI cloud and data combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of 22.1 billion.

We are seeking a passionate and skilled Software Engineer to join our team in building cutting-edge AI-driven applications. You will be responsible for designing developing and deploying scalable microservices that integrate with large language models (LLMs) and cloud-native infrastructure. This role is ideal for someone who thrives in a fast-paced environment and is excited about the future of AI.

Design and implement scalable microservices using Python (and optionally Java).
Apply object-oriented programming (OOP) principles and design patterns to build maintainable systems.
Develop and optimize prompt engineering strategies for LLMs such as OpenAI and AWS Bedrock.
Containerize applications using Docker and orchestrate them with Kubernetes.
Integrate messaging systems like Kafka or RabbitMQ for asynchronous communication.
Work with both SQL (PostgreSQL) and NoSQL (MongoDB) databases.
Collaborate with cross-functional teams to define design and ship new features.
Deploy and manage services on AWS ensuring high availability and performance.
Stay up to date with the latest advancements in GenAI and cloud technologies.

Bachelors degree in Engineering Computer Science Information Technology or a related field.
Minimum of 4 years of professional experience.
Outstanding English communication both verbal and non-verbal.
Proficiency in Python and solid understanding of OOP and design patterns.
Experience with Docker and Kubernetes in production environments.
Familiarity with message queues such as Kafka or RabbitMQ.
Strong knowledge of microservices architecture.
Experience with PostgreSQL and MongoDB.
Hands-on experience with prompt engineering and working with LLMs (e.g. OpenAI AWS Bedrock).
Proficiency in AWS services (e.g. Lambda ECS S3 API Gateway).

Experience with Java is a plus.
Familiarity with CI/CD pipelines and DevOps practices.