we are seeking a promising and talented Senior DevFinOps Engineer to join our DevOps group. If you thrive in a fast-paced, dynamic environment, can handle multiple requests simultaneously, and enjoy working independently as part of a cutting-edge DevOps team, this is your opportunity to help make the world a safer place!
Key Responsibilities
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.
Key Responsibilities
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.
Requirements:
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.
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.
This position is open to all candidates.
