Fin Ops Engineer

Essential Responsibilities: Collaborate with Solution Owners and Engineering: Track and monitor cost optimization initiatives, ensuring key initiative assumptions are accurate and applicable infrastructure efficiencies are incorporated into the forecast. Mature the Cloud Ops capabilities: Help build the Cloud Ops organization based on SRE practices. Monitor Cloud Expenses: Identify cost-saving opportunities, such as unused or underutilized resources in AWS for all cloud-hosted products. Analyze Cloud Data: Identify cost optimization and usage opportunities and create specific recommendations; review those recommendations with engineering and business stakeholders. Monitor and Report Usage: Track cloud usage against budget and forecast, explore trends in cloud spend, and focus on the root cause of cloud resource cost increases on a daily/weekly/monthly basis. Create Reports and Dashboards: Develop reports, dashboards, and alerts to track spending and usage trends and the potential impact of cost optimizations. Present regular updates to senior leadership. Implement and Maintain FinOps Practices: Assist in implementing, maintaining, and governing FinOps with a focus on data pipeline optimization and accuracy. Required Qualifications: 5+ years in managing cloud environments, budgets, forecasts, and implementing financial controls. 7+ years in cloud native software development, platform engineering, or cloud solutions delivery. Experience with FinOps, including cloud cost and financial model forecasting and cloud cost optimization strategies Preferred Qualifications: Cost Modeling and Analysis: Ability to analyze cloud usage and identify cost-saving opportunities Understanding of cost allocation and chargeback models SRE Expertise: Proficiency in tools like Datadog, Vantage (bonus) or other CCM tools. Experience with automation and scripting (e.g., Python, Bash, Ruby) Cloud Engineering: Strong knowledge of cloud platforms (AWS, Azure, GCP) Experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation) Familiarity with containerization technologies (Docker, Kubernetes) Software Engineering: Proficiency in programming languages (Python, Java, Go, etc.) Experience with software development methodologies (Agile, DevOps) Required Skills : Essential Responsibilities: • Collaborate with Solution Owners and Engineering: Track and monitor cost optimization initiatives, ensuring key initiative assumptions are accurate and applicable infrastructure efficiencies are incorporated into the forecast. • Mature the Cloud Ops capabilities: Help build the Cloud Ops organization based on SRE practices. • Monitor Cloud Expenses: Identify cost-saving opportunities, such as unused or underutilized resources in AWS for all cloud-hosted products. • Analyze Cloud Data: Identify cost optimization and usage opportunities and create specific recommendations; review those recommendations with engineering and business stakeholders. • Monitor and Report Usage: Track cloud usage against budget and forecast, explore trends in cloud spend, and focus on the root cause of cloud resource cost increases on a daily/weekly/monthly basis. • Create Reports and Dashboards: Develop reports, dashboards, and alerts to track spending and usage trends and the potential impact of cost optimizations. Present regular updates to senior leadership. • Implement and Maintain FinOps Practices: Assist in implementing, maintaining, and governing FinOps with a focus on data pipeline optimization and accuracy. Required Qualifications: • 5+ years in managing cloud environments, budgets, forecasts, and implementing financial controls. • 7+ years in cloud native software development, platform engineering, or cloud solutions delivery. • Experience with FinOps, including cloud cost and financial model forecasting and cloud cost optimization strategies Preferred Qualifications: Cost Modeling and Analysis: • Ability to analyze cloud usage and identify cost-saving opportunities • Understanding of cost allocation and chargeback models SRE Expertise: • Proficiency in tools like Datadog, Vantage (bonus) or other CCM tools. • Experience with automation and scripting (e.g., Python, Bash, Ruby) Cloud Engineering: • Strong knowledge of cloud platforms (AWS, Azure, GCP) • Experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation) • Familiarity with containerization technologies (Docker, Kubernetes) Software Engineering: • Proficiency in programming languages (Python, Java, Go, etc.) • Experience with software development methodologies (Agile, DevOps) Basic Qualification : Additional Skills : Background Check : Yes Drug Screen : Yes Notes : Selling points for candidate : Project Verification Info : Candidate must be your W2 Employee :Yes Exclusive to Apex :No Face to face interview required :No Candidate must be local :No Candidate must be authorized to work without sponsorship ::No Interview times set : :No Type of project : Master Job Title : Branch Code :