GEICO
Base pay range
$115,000.00/yr - $230,000.00/yr
Position Description
We are looking for a highly motivated and skilled Staff Engineer – FinOps to join our Capacity and Workload Management organization. This role focuses on leading FinOps Engineering projects with expertise in Cloud Services, architecture, cost optimization, budgeting and forecasting.
Responsibilities
Demonstrate a strong grasp of cloud requirements such as cost optimization and capacity planning, facilitating cross‑organizational partnerships for cost optimization discussions. Manage and implement optimization and automation strategies for business processes. Contribute to the creation of a comprehensive strategy to enhance savings, improve spend reporting, governance, and drive process enhancement. Collaborate with business leaders, engineers, and partner teams to collect budget requirements, establish and maintain budget report using various tools, forecast the cost and relevant tasks. Oversee FinOps stakeholder communications, define FinOps KPIs for IT executives, and collaborate with Controllers/Tech Financials Controls. Effectively relay critical information to stakeholders, including senior leadership. Assist in developing the Economic Unit using business metrics to manage cloud operational expenses. Provide technical and thought leadership across multiple stack layers, focusing on full stack web app development and ensuring UI, microservices, and backend systems integration. Serve as a role model and mentor to senior and junior engineers, guiding them in system architecture, design, and implementation. Maintain clear communication with partner teams and leads, explaining technical implementations to stakeholders for alignment across teams. Utilize experience in deploying web applications in Kubernetes (k8s) environments to ensure reliable interaction with backend services and seamless integration with cloud and on‑premises systems.
Qualifications
Deep understanding of Cloud Services and architectures, pricing models, and billing structures that will allow the candidate to perform deep dives and complex analysis of cost trends, anomalies, identify areas of improvement and support decision making with data driven insights. Strong understanding of cloud-based services usage and pricing; AWS and/or Azure and hands‑on cloud experience (AWS, Azure etc.). Strong understanding of cloud requirements, ability to partner across GEICO Tech and drive cost optimization discussions. Collaborate with application teams to understand their approaches and designs to optimize performance and costs within cloud services. Experience designing and developing microservices using Python, Django, gRPC with protocol buffers, Kafka and Apache Spark with a deep understanding of both API and event‑driven architectures.
Experience
8+ years of experience working in FinOps projects and understanding of FinOps concepts preferred. 5+ years of experience in budgeting, forecasting, cost savings, and reporting using various tools. 4+ years of experience in open‑source frameworks and cloud technologies like Azure, AWS, GCP. 3+ years of experience with cloud architecture and design including cost optimization, capacity planning, pricing, performance tuning. 2+ years of professional software development experience and/or solutions engineering experience with technologies such as Java, TypeScript, ReactJS, BootstrapJS, Python, Golang, Docker, Kubernetes, or Terraform.
Education
Bachelor’s degree in computer science, Information Systems, or equivalent education or work experience.
EEO Statement
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
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$115,000.00/yr - $230,000.00/yr
Position Description
We are looking for a highly motivated and skilled Staff Engineer – FinOps to join our Capacity and Workload Management organization. This role focuses on leading FinOps Engineering projects with expertise in Cloud Services, architecture, cost optimization, budgeting and forecasting.
Responsibilities
Demonstrate a strong grasp of cloud requirements such as cost optimization and capacity planning, facilitating cross‑organizational partnerships for cost optimization discussions. Manage and implement optimization and automation strategies for business processes. Contribute to the creation of a comprehensive strategy to enhance savings, improve spend reporting, governance, and drive process enhancement. Collaborate with business leaders, engineers, and partner teams to collect budget requirements, establish and maintain budget report using various tools, forecast the cost and relevant tasks. Oversee FinOps stakeholder communications, define FinOps KPIs for IT executives, and collaborate with Controllers/Tech Financials Controls. Effectively relay critical information to stakeholders, including senior leadership. Assist in developing the Economic Unit using business metrics to manage cloud operational expenses. Provide technical and thought leadership across multiple stack layers, focusing on full stack web app development and ensuring UI, microservices, and backend systems integration. Serve as a role model and mentor to senior and junior engineers, guiding them in system architecture, design, and implementation. Maintain clear communication with partner teams and leads, explaining technical implementations to stakeholders for alignment across teams. Utilize experience in deploying web applications in Kubernetes (k8s) environments to ensure reliable interaction with backend services and seamless integration with cloud and on‑premises systems.
Qualifications
Deep understanding of Cloud Services and architectures, pricing models, and billing structures that will allow the candidate to perform deep dives and complex analysis of cost trends, anomalies, identify areas of improvement and support decision making with data driven insights. Strong understanding of cloud-based services usage and pricing; AWS and/or Azure and hands‑on cloud experience (AWS, Azure etc.). Strong understanding of cloud requirements, ability to partner across GEICO Tech and drive cost optimization discussions. Collaborate with application teams to understand their approaches and designs to optimize performance and costs within cloud services. Experience designing and developing microservices using Python, Django, gRPC with protocol buffers, Kafka and Apache Spark with a deep understanding of both API and event‑driven architectures.
Experience
8+ years of experience working in FinOps projects and understanding of FinOps concepts preferred. 5+ years of experience in budgeting, forecasting, cost savings, and reporting using various tools. 4+ years of experience in open‑source frameworks and cloud technologies like Azure, AWS, GCP. 3+ years of experience with cloud architecture and design including cost optimization, capacity planning, pricing, performance tuning. 2+ years of professional software development experience and/or solutions engineering experience with technologies such as Java, TypeScript, ReactJS, BootstrapJS, Python, Golang, Docker, Kubernetes, or Terraform.
Education
Bachelor’s degree in computer science, Information Systems, or equivalent education or work experience.
EEO Statement
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
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