Senior DevFinOps Engineer

• Act as a DevFinOps Engineer within a highly skilled team, bridging engineering and finance to drive cloud cost efficiency across large-scale operations from development to production.
• Design, develop, and maintain Avanan's cloud cost visibility, allocation, and optimization solutions — including tagging strategies, cost dashboards, budgets, and anomaly detection across accounts and services.
• Implement tools and procedures for cost monitoring, forecasting, and alerting across our SaaS multi-tenant product family.
• Embed FinOps practices into the CI/CD lifecycle — surfacing the cost impact of changes early, and enforcing cost guardrails as part of deployment automation.
• build AI-based FinOps agents for cloud services at the infrastructure and application levels
• Continuously identify and execute cost-optimization opportunities (right-sizing, reserved capacity/savings plans, spot usage, storage tiering, idle-resource cleanup) without compromising performance, reliability, or security.
• Partner with engineering teams to drive cost accountability — providing unit-economics insight (cost per tenant/feature/service) and making cost a first-class engineering metric.
• Plan capacity and model the financial impact of scaling decisions, balancing cost efficiency with fault tolerance and growth.
• Design and shape our cost reporting, chargeback/showback, and budgeting solutions.
• Execute all tasks with cloud infrastructure security and financial governance as guiding principles.
• Hands-on mindset – we all write code daily!
• 3+ years of relevant DevOps/Cloud experience building and operating CI/CD pipelines for both development and production – must.
• 2+ years of AWS Cloud experience working with high-traffic systems and multiple services, with a strong grasp of AWS pricing models and cost management tooling (Cost Explorer, CUR, Budgets, Compute Optimizer) – must.
• Strong scripting skills, with fluency in Python – must.
• Experience working with AI tools to achieve cloud or application cost control, identify and investigate the root cause of cost changes (differentiating between organic growth / infrastructure change / config change / application change).
• Demonstrated experience driving measurable cloud cost reductions and building cost-optimization tooling or automation – must.
• Experience with containers and orchestration tools (Docker, Kubernetes, or ECS) and understanding of their cost drivers – must.
• Familiarity with FinOps principles and practices (FinOps Foundation framework, showback/chargeback, unit economics) – an advantage.
• Experience with CI integration tools such as Jenkins.
• Familiarity with AWS CloudFormation and infrastructure-as-code – an advantage.
• Exposure to a wide range of open-source technologies (Redis, Nagios, Grafana, Prometheus, etc.) and cost-analytics tooling.
• Knowledge of best practices in security, performance, monitoring, and cost governance.
• Proven ability to research, evaluate, and implement new technologies, including running proofs of concept and cost analysis.

Huge advantage

measuring and controlling AI cost