Company Description
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!
Job Description
- 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.
Qualifications
- 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
