Cloud Engineer

Back Sign in Lisboa IT and telecommunications Programming Programming, consulting and other computing activities Full Time Hybrid (On-site and Remote) Specialist Computing Cloud Engineer Published 28 of July

Noesis is looking for candidates with the following profile:

Main Tasks and Responsibilities:

• Analyze and optimize cloud spending by monitoring cloud cost data, identifying cost-saving opportunities, and driving FinOps best practices across AWS, Azure, and Google Cloud environments;
• Support for cloud deployments
• Deliver financial insights and reporting through dashboards, reports, and data analysis using Excel, Power BI, and FinOps tools to support informed business decisions;
• Support budgeting and forecasting processes by providing accurate cloud cost analysis, financial forecasts, and recommendations to improve cost efficiency;
• Collaborate with cross-functional teams, including Engineering, Product, Finance, and Architecture, to promote financial accountability and implement sustainable cloud cost optimization strategies.

Requirements:

• Degree in Computer Science, Information Technology or a related field;
• 6+ years of experience as Cloud Engineer;
• Solid knowledge of Azure (preferred), AWS or Google Cloud, with a strong understanding of cloud billing and cost optimization;
• Experience in FinOps, Cloud Cost Management, or Cloud Financial Analysis are a plus;
• Proficiency in Excel and Power BI;
• Experience in cloud cost management tools (such as IBM Cloudability) are a plus;
• Strong analytical mindset with the ability to transform data into business insights;
• Experience working with cross-functional teams in Finance, Engineering, and Product environments;
• FinOps Foundation and/or AWS, Azure, or Google Cloud certifications are a plus;
• Advanced level of English.

If you meet these conditions and would like to join an innovative organization that continuously invests in training its talents, send us your application.

Join us. Let's innovate together!

All our recruitment and selection processes are based on equal opportunities, valuing the competence and potential of each person and ensuring that no candidate is discriminated on the grounds of gender, ethnicity, sexual orientation, age, religion or physical condition.