Qualifications
Responsibilities
Benefits
Position Description:
We are looking for a highly motivated and skilled Staff Engineer – FinOps to join our Capacity and Workload Management organization. This role is part of the FinOps and Cloud Optimization team, focusing on leading FinOps Engineering projects with expertise in Cloud Services, architecture, cost optimization, budgeting and forecasting.
The ideal candidate should have extensive experience in leading significant projects, encompassing aspects such as budgeting and forecast, cost optimization, capacity planning, and a readiness to take charge and collaborate across the stack as per the team's requirements.
As a Staff Engineer, responsibilities include:
- Demonstrating a strong grasp of cloud requirements such as cost optimization and capacity planning, facilitating cross-organizational partnerships for cost optimization discussions.
- Managing and implementing optimization and automation strategies for business processes.
- Contributing to the creation of a comprehensive strategy to enhance savings, improve spend reporting, governance, and drive process enhancement.
- Collaborating 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
- Overseeing FinOps stakeholder communications, defining FinOps KPIs for IT executives, and collaborating with Controllers/Tech Financials Controls.
- Effectively relaying critical information to stakeholders, including senior leadership.
- Assisting in developing the Economic Unit using business metrics to manage cloud operational expenses.
- Providing technical and thought leadership across multiple stack layers, focusing on full stack web app development and ensuring UI, microservices, and backend systems integration.
- Serving as a role model and mentor to senior and junior engineers, guiding them in system architecture, design, and implementation.
- Maintaining clear communication with partner teams and leads, explaining technical implementations to stakeholders for alignment across teams.
- Utilizing 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, BoostrapJS, Python, Golang, Docker, Kubernetes, or Terraform.
Education:
Bachelor's degree in computer science, Information Systems, or equivalent education or work experience
#LI-RP2
Annual Salary
$110,000.00 - $230,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
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