Search the 7 jobs at Ritain.io

The Cloud Sales role involves identifying business opportunities in cloud computing, leading presentations, and developing commercial proposals to align technical solutions with client needs. It requires building relationships with strategic clients and participating in contract negotiations while monitoring market trends.

The OCI Cloud Engineer will identify and implement cloud-based solutions, define best practices for application deployment, provide guidance to development teams, ensure application performance, manage cloud environments securely, troubleshoot incidents, and work with clients on defining feature acceptance criteria.

As a QA Automation Engineer at Ritain.io, you will develop and apply automated test suites, ensure high-quality software releases, define acceptance criteria for new features alongside clients, and contribute to improvement specifications. Collaborating closely with software engineers, you will also generate progress reports and work in an agile environment.

Looking for a QA Functional Tester to join a dynamic team focused on automation and business agility. Responsibilities include analysis and documentation of requirements, defining test cases, conducting exploratory tests, reporting defects, and working on international projects.

Looking for an AWS Cloud Engineer with 3+ years of experience in cloud computing, expertise in Amazon Web Services, SQL, NoSQL, Bash, Python, Linux, CloudFormation, Terraform, Containers, DevOps, CI/CD, and Ansible. Responsibilities include implementing cloud-based solutions, defining best practices, providing guidance to development teams, ensuring application performance and security, troubleshooting incidents, and collaborating with clients.

Seeking a QA Automation Engineer with 2+ years of experience in automated testing and proficiency in Ruby, Java, Python, or C#. Must have knowledge of automation testing tools like Selenium and experience with agile methodologies. Fluent in English, Spanish is a plus.

Develop and integrate intelligent AI systems with software using APIs, optimize performance through fine-tuning, and automate workflows with AI models. Troubleshoot and resolve issues while ensuring smooth data exchange across platforms.