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We are looking for a Senior FinOps Engineer with hands-on experience in Cloud Cost Optimization practices, software development capabilities, AI/automation expertise, strong analytical skills, and a passion for driving financial insights that enable smarter business decisions. The ideal candidate is a self-starter with excellent cross-team collaboration abilities and a proven track record of delivering results in a dynamic environment.
Job Responsibility:
Prepare and deliver reports, presentations and KPIs on cloud spend performance versus plan and forecast for Finance, engineers, and leaders
Support the evaluation, implementation, and ongoing management of cloud consumption and financial management tools
Work closely with cross-functional stakeholders to understand their needs, align priorities, and build a clear, value-driven roadmap
Partner with engineering, product, and Finance teams to identify cost drivers, promote best practices for efficient cloud consumption, and implement savings opportunities
Lead cost optimization initiatives, including analyzing and recommending savings plans, reserved instances, and right-sizing opportunities across CSPs (e.g., AWS, Azure, OCI), SAAS (e.g., Datadog, Snowflake) & GenAI
Collaborate with the other Platform teams to ensure effective tagging strategies and alerting frameworks are deployed and maintained at scale
Support forecasting by partnering with Finance and engineering teams to understand demand plans and proactively manage capacity and spend
Build custom integrations and data pipelines connecting cloud billing APIs, FinOps platforms, and internal systems to enable real-time cost visibility and automated alerting
Drive a culture of optimization by translating financial insights into actionable engineering recommendations, promoting cost-conscious architecture, and leveraging automation for resource optimization
Leverage Generative AI tools to enhance FinOps automation, streamline reporting, and improve team productivity across forecasting, optimization, and anomaly detection
Requirements:
BS/MS in Computer Science or equivalent experience
4+ years of professional experience in Cloud FinOps, IT Financial Management, or Cloud Cost Governance within an IT organization
4+ years of overall experience in Cloud Infrastructure Management, DevOps, Software Development, or related technical roles with hands-on cloud platform expertise
Hands-on experience with native cloud cost management tools (e.g., AWS Cost Explorer, Azure Cost Management, OCI Cost Analysis) and third-party FinOps platforms (e.g., Vantage, Cloudability, CloudHealth or CloudZero)
Proven experience working within the FinOps domain in a large enterprise environment (e.g., building and managing custom reports, dashboards, and financial insights)
Deep understanding of cloud financial management practices, including chargeback/showback models, cost savings and avoidance tracking, variance analysis, and financial forecasting
Practical experience with cloud optimization and governance practices such as anomaly detection, capacity planning, rightsizing, tagging strategies, and storage lifecycle policies
Skilled in leveraging automation to drive operational efficiency in cloud cost management processes
Strong analytical and data storytelling skills, with the ability to collect, interpret, and present complex financial and technical data to diverse audiences
Experience developing dashboards and metrics aligned with business goals and industry benchmarks
Ability to influence and drive change management initiatives that increase adoption and maturity of FinOps practices
Highly results-driven, detail-oriented, and goal-focused, with a passion for continuous improvement
Strong communicator and collaborative team player with a passion for mentoring and educating others
Hands-on development experience building automation solutions (e.g., TypeScript, Github Actions), APIs, or internal tools for cloud management or financial operations
Practical experience with GenAI technologies including prompt engineering, and integrating LLM APIs (OpenAI, Claude, Bedrock) into business workflows
Experience with Infrastructure as Code (Terraform etc.) and CI/CD pipelines for deploying FinOps automation and tooling
Familiarity with data visualization (e.g., Amazon QuickSight) and building interactive dashboards programmatically
FinOps Certified Practitioner
Nice to have:
AWS, Azure, or OCI cloud certifications
Experience building chatbots or conversational AI interfaces for internal tooling
Knowledge of ML/AI frameworks
Advanced user experience in managed Kubernetes systems