Founded in the Netherlands over 180 years ago, the customer is a global leader in information services and expert solutions for professionals in the health, tax and accounting, risk and compliance, finance, and legal sectors. As of 2017, the company was recognized by Corporate Knights as one of the 100 most sustainable companies in the world. The company currently operates in over 150 countries.
Join a team building a comprehensive AI technology stack (focused on GenAI) that accelerates AI capabilities across hundreds of customer products. The platform integrates with major AI providers and enables scalable, production-ready AI solutions for professional users.
The team is divided into core development and product integration streams.
responsibilities :
Design and implement a scalable and robust self-service platform for the software development life cycle (SDLC) using AWS Cloud, CI/CD technologies, Python, and Bash scripts
Integrate wide AWS serverless and PaaS Cloud services to ensure seamless and secure access to resources needed for development, testing, and deployment
Leverage AWS CloudFormation, AWS CDK, Terraform, and Serverless Application Model (SAM) for infrastructure and resource management
Implement and maintain CI/CD pipelines using tools such as Bamboo CI and Jenkins to facilitate efficient and reliable software releases
Collaborate with development teams to identify, prioritize, and address requirements for the self-service platform to accommodate evolving needs
Establish and promote best practices and guidelines for the effective use of AWS Cloud services, CI/CD tools, Python, Bash, and automation within the organization
Monitor and manage platform performance, availability, and security, ensuring compliance with industry standards and company policies
Continuously evaluate and recommend new tools, technologies, and approaches to improve the platform and maintain a cutting-edge development environment
requirements-expected :
Production experience in cloud platform engineering, with a focus on AWS Cloud, CI/CD, Python, and Bash scripting
Proven expertise in deploying and managing AWS Cloud services and their integrations with CI/CD tools
Strong knowledge of CloudFormation, AWS CDK, SDK, and Serverless Application Model (SAM), Terraform as well
Experience in configuring and managing CI/CD pipelines using Bamboo CI, Jenkins, or similar tools
Excellent programming skills and expert knowledge in Bash and Python scripting
Familiarity with containerization technologies like Docker and Kubernetes
Excellent problem-solving and troubleshooting skills
Strong communication skills and the ability to work effectively across teams and with various stakeholders
Ability to pass simple livecoding interview, programming language doesnt matter.
