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RealPage is seeking a FinOps & ValueOps Operations Engineer to automate cloud cost operations across a multi-cloud and on-prem environment. The role emphasizes AI-driven tooling, SOPs, and cost governance, with after-hours support as needed.
You will implement cost-automation strategies, monitor budgets and alerts, and work across AWS, GCP, Azure, and on-prem setups while collaborating with global stakeholders to drive efficiency and results.
Make an Impact with RealPage Looking for a role where your work directly influences business outcomes and customer success?
At RealPage, you'll join a global SaaS technology company that is transforming the real estate industry through innovative software, data, and AI-driven solutions. We empower our teams to think big, take ownership, and deliver meaningful results every day. Whether you're solving complex challenges, collaborating with global stakeholders, or driving operational excellence, you'll have the opportunity to grow your career while making a real impact.
FinOps & ValueOps Operations Engineer on our team, you'll be part of a collaborative group responsible for supporting the automation of cloud and AI cost operations and value-tracking processes across RealPage's multi-cloud environment; using AI-driven tooling to streamline cost governance, budget monitoring, and reporting workflows, while maintaining Standard Operating Procedures and executing day-to-day operational tasks that keep the FinOps & ValueOps practice running smoothly, and staying current with emerging AI and automation technologies. Responsibilities Support FinOps & ValueOps automation strategies, migration plans, and technical assistance for low to high level complexity projects.
Tests and evaluates cost automation systems and AI models to eliminate problems and make improvements. Develops and maintains Standard Operating Procedures (SOPs) and contributes to knowledge transfer to the FinOps & ValueOps team to ensure a smooth onboarding of new automation deployments Executes day-to-day FinOps & ValueOps operational tasks, including budget guardrail monitoring, cost anomaly triage, tagging remediation, and ticket-based support requests.
Implement and manage AI-driven cost automation and budget guardrail systems within a secure multi-tenant cloud (AWS, GCP, and Azure) & On-prem environment. Works in support of implementing standard designs from the FinOps & ValueOps Engineering team for automation projects including configuring, troubleshooting, documentation, optimization and requirements gathering for FinOps & ValueOps Operations Provides direct operational support, including after hours as needed, for production-related cost and value-reporting issues.
Provides engineering expertise in identification of process improvement and automation opportunities using AI/ML techniques Maintain working knowledge of FinOps, Value Operations, AI/ML, and Cloud technologies and supporting solution areas and develop new automation integrations and solution capabilities. Research, evaluate and stay ahead of curve on emerging AI, automation, and FinOps/ ValueOps tools, techniques, and technologies.
Demonstrate strong ‘Consultative based mindset’ with strong listening and collaboration skill for uncovering unmet technology-based needs and translating the requirements into strategic solutions High motivation level and an appetite for fast -paced team environment; readily adaptable to changing market and organization requirements. Problem solving mentality using internal and/or external resources.
Excellent verbal and written communication Qualifications 2+ years of validated experience in financial operations (FinOps), cloud cost management, or IT operations support in a medium to large globally diverse environment.
hands-on experience building automation scripts, dashboards, and monitoring/analyzer tools supporting Hybrid Environments Automation experience with Python and/or AI-assisted tooling (e.g., LLM-based agents/assistants) strongly preferred FinOps Certified Practitioner (FinOps Foundation) or cloud cost management certification preferred.
knowledge of cloud billing and cost management platforms, including - AWS Cost Explorer/CUR, GCP Billing Export, and Azure Cost Management – is required knowledge of AI/ML frameworks and techniques for automation, including - LLM-based agents, anomaly detection and predictive analytics – is required knowledge of tagging/labeling governance and cost allocation practices with Terraform is strongly preferred.
Experience with cost allocation models, budget guardrails, and chargeback/ showback reporting. Troubleshooting skills across various cloud cost, billing, and reporting platforms Operational experience with budget guardrail enforcement, alerting, and dashboarding tools; ability to write and maintain SOPs and operational runbooks.
Ability to write and maintain detailed SOPs, methods of procedure, and operational documentation, including creation of Visio/Lucid Charts diagrams. Basic knowledge with an Agile Scrum framework with the ability to work on stories in sprints. Work Schedule & Setup
Must be willing to work onsite during the first 90 days of training Hybrid setup begins on the 4th month, with two onsite days per week Supports US business operations - Fixed graveyard shift schedule with night differential pay.