What are the responsibilities and job description for the Sr. Cloud FinOps Engineer @ Dallas, TX - Onsite Job position at MethodHub?
Job Details
Sr. Cloud FinOps Engineer @ Dallas, TX - Onsite Job
Mandatory Skills: Expertise developing software and proficiency in Java. Python is a plus.
Strong CS fundamentals (data structures, algorithms) and problem-solving skills Systematic problem-solving approach with excellent communication skills and a sense of ownership
Expertise with Service Oriented Architectures, API-first approach, and cloud-based service offerings, preferably on AWS.
Experience working with relational/NoSQL databases
Experience with developing and operating on the cloud Experience working with AWS, Google Cloud Platform. Azure is a plus.
Experience working with large scale ETL solutions, and data processing and querying solutions e.g., Apache Spark Experience with DevOps, modern SDLC practices and tools
Role Description Skills: Responsibilities: Design, build, and own systems and capabilities needed for cloud financial management across globally distributed businesses and teams Define mission and vision for the Cloud Financials team, lead design and architecture discussions, advocate for best practices, participate in code reviews, and contribute to scaling the team Implement a unified view of costs related to direct consumption and shared costs across multiple public cloud providers and PaaS/SaaS vendors for visibility and accurate chargeback Implement a cost optimization business process framework targeting both rate and usage-based optimization Engineer an automated payment and recovery process for cloud cost actualization Develop budgeting and forecast modules along with cost controls to be used firm-wide Participate in projects to automate and scale reporting on key capacity metrics, supply chain performance, and growth drivers Qualifications Expertise developing software and proficiency in Java. Python is a plus. Strong CS fundamentals (data structures, algorithms) and problem-solving skills Systematic problem-solving approach with excellent communication skills and a sense of ownership Expertise with Service Oriented Architectures, API-first approach, and cloud-based service offerings, preferably on AWS. Experience working with relational/NoSQL databases Experience with developing and operating on the cloud Experience working with AWS, Google Cloud Platform. Azure is a plus. Experience working with large scale ETL solutions, and data processing and querying solutions e.g., Apache Spark Experience with DevOps, modern SDLC practices and tools Preferred Qualifications Bachelor's degree in computer science, Engineering, or related field Familiarity with predictive analytic models like time-series, outlier, and forecast models Knowledge of Public Cloud offerings, consumption models and billing concepts Prior experience in Cloud Cost Management with knowledge in tools such as Cloudability, Spot.io, Densify, reserved.ai, etc.
