Software Engineer, Aurora

• Education: BS/MS in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience
• Technical Proficiency: Foundational knowledge in a programming language such as Golang or Python with an eagerness to write clean and efficient code
• System Navigation: Willingness and ability to learn how to navigate and understand existing codebases
• Cloud Exposure: Basic familiarity with a major cloud platform (AWS, Azure, or GCP)
• Software Commitment: A strong interest in developing practical software solutions that contribute to cost management and efficiency
• Communication: Good communication skills, with a focus on clearly explaining technical concepts

Desirable

• Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all
• We’re searching for a Software Engineer to join Aurora’s FinOps team
• The FinOps team plays a critical role in optimizing and managing Aurora's significant cloud expenditures
• Our core responsibilities include:
• Cost Management and Allocation: Developing frameworks and tools to accurately monitor, aggregate, and allocate costs across all cloud resources and systems
• Policy and Compliance: Establishing a comprehensive cloud policy framework to manage policies across any cloud or platform resource, including notifications, acknowledgement, and automated actions for remediation
• Analysis and Reporting: Delivering in-depth analysis and reporting on spending anomalies, budget adherence, and overall compliance
• Efficiency Initiatives: We partner with engineering teams to identify and implement optimization strategies and policies for cloud usage, covering both compute resources and data storage
• This ensures Aurora's infrastructure is both highly scalable and cost-effective
• To support the development of the Aurora Driver, hundreds of engineers execute millions of compute tasks daily, train machine learning models, and generate petabytes of data on our custom compute and data curation systems
• The FinOps team plays a critical role in monitoring and optimizing resource usage for these activities
• By effectively managing costs and enhancing operational efficiency, we ensure that all processes run efficiently, empowering innovation, sustained performance, and scalable growth at Aurora
• As a member of the FinOps team, you will learn to be instrumental in helping to manage and optimize our cloud spending
• You will support the team by assisting in the design and implementation of tools and services that make cloud costs clear and efficient
• Your role will be focused on learning the core FinOps framework and providing initial support for cost insights across the organization
• Assist in developing and deploying monitoring and tools for allocating cloud costs, specifically for compute and data storage
• Help create and maintain dashboards and reports to track spending patterns and flag potential cost anomalies for engineering teams
• Collaborate with engineering teams to identify initial opportunities for cost savings and support efforts to optimize cloud resource usage
• Monitor and manage resources primarily within AWS, gaining familiarity with various AWS products and services