FinOps Engineer II

Hybrid Infrastructure FinOps Engineer II willbe responsible fortracking andoptimizingAI cloud infrastructure costs while ensuring maximum performance and efficiency. FinOps engineer will work closely with our finance operations andCloudOpsteams to analyze AI and non-AI cloud usage patternsidentifycost-saving opportunities and implement strategies to manage andoptimizecloud expenditure.

• Automate the creation of reports and dashboards to visualize cloud cost trends for AI production and non-production usage

• Develop andmaintaincost allocation models.

• Stayup-to-dateon cloud pricing models and best practices.

• Analyze cloud usage patterns for cost optimization.

• Proficiencyin cloud platforms Google Cloud Platform and AWS. Some exposure to Azure isas well

• Building out tooling and automation to share cloud spending data across the organization for all AI and non-AI usage

• Collaborating with cross-functional teams to align cloud spending with businessobjectives.

• Developing andmaintainingcost optimization policies and procedures.

• Monitor and report on cloud expenditure.

• Mastersdegree in computer science and engineering is preferred.

• 2 years experience in automation and development with Infrastructure-as-Code tools such as Terraform CloudFormation across different cloud platforms or similar experience

• 2 years of experience of programming with tools such as Python Ruby Go GitGithub or Azure DevOps

• 2 years of experience in estimation project management andfinopsfor cloud environments.

• 2 years of experience in cloud operationsfinancial management or related roles.

• Experience with cloud cost optimization frameworks such as FinOps.

• FinOps Certified Practitioner / CAPM / other PM certifications.

KNOWLEDGE/SKILLS/ABILITIES

Required:

• Collate analyze and prioritize cloud optimization recommendations and calculate potential savings.

• Experience in cloud cost optimization strategies.

• Experience with cloud cost management tools.

• Experience programming languages such as Python Go Ruby etc.

• Experience with financial concepts and budgeting.

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills.

• Automate cost optimization processes.