The Salesforce QA Engineer will be responsible for performing quality assurance activities and testing within the Salesforce environment. They will also manage test automation frameworks and ensure quality standards are met throughout the software development lifecycle.
The role involves performing functional analysis, designing and executing tests, and managing defects. The candidate will also define test strategies and implement automation using Playwright and BDD.
Implement, administer, and optimize the Elastic platform for observability and security. Perform troubleshooting in complex environments and migrate observability solutions to the Elastic ecosystem.
The role involves prospecting and identifying potential clients in the IT and logistics sectors while conducting market analysis. The manager is responsible for establishing strong client relationships, presenting commercial proposals, and negotiating agreements to close business.
The role involves reinforcing the team as a QA Automation specialist to ensure software quality. This includes writing automated tests and participating in innovative international projects.
The Scrum Master will lead IT projects, managing stakeholder expectations and guiding the team using agile methodologies. They will be responsible for ensuring efficient delivery within an international technological environment.
The role involves reinforcing the data engineering team by managing large volumes of data and utilizing the Elastic ecosystem. The engineer will work on innovative international projects focusing on data administration and system maintenance.
The role involves working as a Senior Fullstack Developer to reinforce the team on international projects using innovative technology. Responsibilities include developing applications using Node.js and React within a microservices and cloud architecture.
The DevOps Engineer will reinforce the technical team by managing cloud infrastructure and implementing automation. They will work on innovative international projects focusing on scalability and reliability.
Manage and implement Azure integrations within an international project context. Focus on process automation and the application of DevOps practices to maintain system efficiency.
Design and build scalable cloud-native applications on AWS, covering the full stack from frontend interfaces to backend services. Lead technical architecture for serverless and container-based solutions while mentoring engineers in regulated environments.
The DevOps Engineer will focus on automation and continuous improvement of infrastructure and deployment processes. Responsibilities include managing containers, observability tools, and configuring various SQL and NoSQL databases.
The ML Research Engineer will bridge research and engineering teams to take machine learning models from experimentation to production. They will also establish engineering standards and mentor team members on best practices for production environments.
You will be responsible for strengthening the team by managing AI infrastructure and ML production environments. This includes optimizing AI inference, handling GPU workloads, and maintaining scalable real-time AI systems.
The functional analyst will be responsible for technical analysis, system modeling, and the creation of feature files and user stories. They will work within Agile methodologies to support web system development projects.
The role involves writing automation scripts using Java and managing the full lifecycle of test cases and defects. You will also be responsible for analyzing requirements and performing data validation using SQL.
