Runtalent

Cloud Engineer

• Design, document, implement, and manage highly scalable and resilient Azure cloud infrastructure
• Operate in a global environment with over 200 Azure subscriptions, ensuring standardization and governance
• Implement and manage security controls, including identity and access management (IAM)
• Automate provisioning and infrastructure management using Infrastructure as Code (IaC)
• Develop and maintain automation with Terraform, GitHub, and scripting (Shell)
• Support and evolve the shared connectivity platform across environments and clients
• Optimize cloud environment performance, availability, and costs
• Collaborate with Cloud Center of Excellence (CCoE) and platform engineering teams
• Support integration with CI/CD pipelines
• Maintain detailed technical documentation of architecture, standards, and best practices
• Provide specialized technical support for cloud environments

Senior Azure Cloud Engineer

Architect

• Define and evolve architectures for solutions based on LLMs and intelligent agents
• Lead the design and implementation of multi-agent systems, workflows and chains
• Establish patterns for: agent orchestration, context and memory management, tool integration, and connection to enterprise data sources and legacy systems
• Translate business requirements into scalable, maintainable technical architectures
• Define and implement AI engineering best practices, including: guardrails and security, fallback strategies, observability and monitoring, and human-in-the-loop processes
• Evaluate, select and implement the most appropriate frameworks and technologies
• Serve as a technical reference, supporting and mentoring the internal team
• Ensure quality, governance and standardization of delivered solutions
• Support the continuous evolution of the technology stack and development processes

Generative AI Solutions Architect – Senior

Data Engineer

• This is a remote position.
• The Data Engineer works end-to-end, creating dashboards and is responsible for integrating data, applying business rules, and developing effective visualizations.
• Must be proficient in Qlik Script, DAX, and functions in both Qlik Sense and Power BI, data modeling, SQL queries, and building interactive dashboards.
• Collaborate with business teams to understand project requirements and objectives.
• Design and develop data pipelines to collect, integrate, and transform data from multiple sources.
• Create dimensional and relational data models to support complex analyses.
• Develop and maintain reports and dashboards using BI tools such as Qlik Sense.
• Perform integration testing and data validation to ensure the accuracy and consistency of information.
• Optimize queries and ETL processes to improve system performance and efficiency.
• Provide technical support to end users to ensure effective adoption of BI solutions.
• Monitor data integrity and security, implementing data governance best practices.