We use PostHog and Clarity to improve the site, and Meta Pixel to measure page views and ad effectiveness. Usage data may include page addresses and browser identifiers. You can opt out of collection at any time. Details in the Privacy Policy
Senior DevFinOps Engineer at Check Point Software · Trevo
More fit checks, tailored CVs, and complete prep for every role.
Job Description
About the role
Why Join Us?
As the world’s leading vendor of Cyber Security, facing the most sophisticated threats and attacks, we’ve assembled a global team of the most driven, creative, and innovative people. At Check Point, our employees are redefining the security landscape by meeting our customers’ real-time needs and providing our cutting-edge technologies and services to an ever-growing customer base.
Check Point Software Technologies has been honored by Time Magazine as one of the World’s Best Companies and recently Gartner rated Check Point email security as a market leader for product, detection and innovation. We've also earned a spot on the Forbes list of the World’s Best Places to Work for five consecutive years (2020-2024) and recognized as one of the World’s Top Female-Friendly Companies. If you're passionate about making the world a safer place and want to be part of an award-winning company culture, we invite you to join us.
Check Point Harmony Email Security and Collaboration (Previously AVANAN) is a unique email solution that fully secures cloud email and cloud platforms using AI.
Check Point is 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!
What you'll do
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.
Experience with CI integration tools such as Jenkins.
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
Nice to have
Familiarity with FinOps principles and practices (FinOps Foundation framework, showback/chargeback, unit economics) – an
Familiarity with AWS CloudFormation and infrastructure-as-code – an