Senior Python Engineer (FastAPI/Relational Databases)

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Your Client

Our client is an innovative medicines company. Every day, they work to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Their medicines reach more than 250 million people worldwide.

They use innovative science and technology to address some of society's most challenging healthcare issues. They discover and develop breakthrough treatments and find new ways to deliver them to as many people as possible.

Our team develops software that enables strategic decision-making by providing comprehensive portfolio insights and data-driven recommendations, facilitating collaborative forums, and ensuring effective communication of decisions.

We’re growing fast so we’re looking for a Senior Software Engineer to join our team!

Your Role

As a Senior Software Engineer in our team, you will be responsible for designing, developing and delivering software in AWS cloud services. Our technology stack consists of React, Node, Python, R and .NET apps based on PostgreSQL, Cosmos DB deployed on AWS k8s/ECS or Azure.

You will develop the backend APIs of web applications that track the evolution of our products and forecast our revenue. You are expected to collaborate with the front-end engineers effectively and support them by exporting well-defined HTTP APIs which will save and serve the application's state to the UI.

You will be part of an Agile team planning, developing, testing and delivering the workload fortnightly using JIRA, Confluence, Bitbucket, Jenkins and Microsoft 365 tools.

Your Profile

• BS/MS degree in Computer Science, Engineering or related subject
• 7+ years of experience developing and maintaining software systems in production
• 4+ years of experience in Python and FastAPI
• Strong background in relational database theory and excellent knowledge of Relational Databases (Postgres, MySQL, SQL server, Oracle)
• Familiarity with NoSQL storage (MongoDB, Redis, etc.)
• Solid understanding of software development principles, best practices, and design patterns
• Strong communication skills to effectively collaborate with the development team
• Commitment on unit & integration testing
• Commitment on code reviews to ensure adherence to industry standards and coding best practices
• Commitment on design and implementation documentation
• Attention to detail and a commitment to delivering high-quality work
• Be passionate and adaptive on new technologies
  
  

We'll give extra credit to candidates with experience in the following areas:

• Experience with Node JS
• Knowledge of authentication and authorization flows
• Familiarity with AWS ECS, RDS, S3 and EC2 services
• Familiarity with Terraform for provisioning cloud services
• Experience with CUDA programming
  
  

Skills (competencies)

Verbal Communication

Python

Node Js

SQL Server (Relational Database)

Oracle (Relational Database)

noSQL

AWS (Cloud Platform)

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 340,000 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.