FinOps Engineer jobs in Israel

Daylight is a security services company delivering Managed Agentic Security Services (MASS), including MDR, threat hunting, security data lake, and more, through a fundamentally different architecture than traditional security services providers. Daylight's architecture combines an agentic platform that runs the full cycle from detection to response with security experts from IR and threat hunting backgrounds. The platform collects identity and business context across systems to investigate alerts and continuously learns your environment. Security experts validate decisions, feed insights into the platform, optimize detections, and take over in case of an incident. The result: security teams move from firefighting to strategic work. We’re looking for a Cloud FinOps Engineer to own and drive cloud cost optimization across Daylight’s infrastructure. You’ll work hands-on across AWS, Kubernetes, and our data and observability stack to improve efficiency, optimize cloud spend, and build the tooling and processes that help us scale sustainably. What You’ll Do • Own cloud cost as a metric: define, instrument, and report unit economics such as cost per tenant, per GB ingested, and per environment, and drive them down quarter over quarter • Build cost visibility through tagging and allocation standards, showback across teams and customers, budgets, anomaly detection, and dashboards people actually open • Find and land savings across compute right-sizing, Karpenter and Spot strategy, commitment coverage, storage lifecycle policies, networking and data transfer, and the long tail of idle resources • Optimize the cost of our data and observability layers, including streaming ingestion, the data lake and warehouse, and the observability pipeline • Shift cost left by putting estimates into pull requests and IaC review, so engineers see the price of a change before it ships rather than in next month's bill • Build and maintain infrastructure as code, our GitOps delivery pipeline, and Kubernetes platform work alongside the rest of the team, and participate in on-call • Partner with Engineering, Finance, and leadership on forecasting, vendor and contract renewals, and capacity planning What we're looking for • 3+ years of hands-on FinOps experience within a medium-sized organization, either as part of a dedicated FinOps team or in a leadership capacity. • Strong understanding of cloud platforms (AWS, GCP) and how architectural decisions impact cloud costs. Familiarity with Terraform and modern cloud infrastructure is expected. An engineering or DevOps background is a plus. • A proactive, ownership-driven mindset, with the ability to independently identify cost optimization opportunities and take responsibility for improving cloud financial efficiency. • Strong analytical skills, with the ability to translate complex cost and usage data into meaningful insights and practical recommendations. Comfortable working with cloud billing platforms and cost management tools. • Experience working with AI tools, including monitoring and analyzing AI usage, tracking associated costs, and leveraging AI to optimize workflows, improve efficiency, and automate processes. • Excellent communication and collaboration skills, with the ability to work closely with engineering, product, and leadership teams to communicate financial insights and influence decisions. • A collaborative approach and the ability to balance technical requirements with financial considerations, aligning stakeholders around common goals. Why this role You’ll be the first person at Daylight to own FinOps, so you’ll be building the practice rather than inheriting one. Our infrastructure is modern and fully codified — Terraform, ArgoCD, EKS, and Karpenter — giving you the opportunity to focus on meaningful optimization from day one. At our stage of growth, the decisions you make now will directly shape our infrastructure efficiency and cost structure as we scale.

Description VAST Data is looking for a Cloud FinOps Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. • Proactively identify and execute cost-saving opportunities through rightsizing, optimized scaling strategies, lifecycle management, and architectural improvements without impacting performance or velocity. • Collaborate with R&D and DevOps to evaluate the cost-impact of architectural decisions, ensuring "cost-by-design" is a core part of our infrastructure evolution. • Design and maintain granular visibility into cloud spend, transforming complex data into actionable insights that inform relevant teams and empower them to take ownership of their usage. • Take ownership of cost operations across AWS, Azure, GCP, and OCI, establishing consistent tagging policies, automated guardrails, and governance frameworks. • Manage and optimize our portfolio of RIs, Savings Plans, and Spot instances to maximize our cloud ROI. Requirements • 3+ years of experience managing cloud costs in complex, large-scale environments with a proven track record of moving the needle on cloud spend. • A proactive, hands-on executor: You don’t just report on costs; you actively identify overspend, propose technical solutions, and drive them to completion to deliver tangible savings. • Strong technical understanding of cloud-native architectures and experience in building or scaling efficient infrastructure. • Ability to analyze cloud usage economics to find the "sweet spot" between performance, scalability, and cost-efficiency. • Experience leading end-to-end cost optimization programs, from identifying inefficiencies to implementing company-wide governance. • Excellent communication skills and the ability to translate complex technical data into clear business insights for stakeholders at all levels. • B.Sc. in Computer Science, Software Engineering, or a related technical field. Technical Stack & Tooling: • Deep, hands-on experience with Azure, AWS, GCP, OCI • Understanding of Kubernetes cost allocation and experience with tools to manage shared resource environments (Keda, Kubecost, etc.). • Proficiency with platforms like Umbrella, Azure Cost Management, or similar. • Experience with Terraform/Ansible/Python or implementing automated cost-governance and tagging policies. • Understanding of Kubernetes cost allocation and experience with tools to manage shared resource environments (Keda, Kubecost, etc.). • Proficiency with platforms like Umbrella, Cloud Native cost management tools, or similar.

Description CodeValue is a leading software company delivering a full spectrum of software services that enable customers to focus on their core business activities. Our employee's works with the latest technologies and builds advanced systems using cutting-edge technologies. We deliver tailor-made innovative solutions and services ranging from focused product and technology analysis to comprehensive development and in-depth consultancy. Our solutions address varied needs across every domain, from startups and mid-size firms, government agencies, public and private enterprises, and global corporations. As a FinOps Engineer you will take ownership of cloud & SaaS cost visibility, optimization, and governance across our multi-cloud (AWS + GCP) environment. This role will work closely with DevOps, Engineering and Finance teams to ensure we scale efficiently, maintain high performance, and meet budget goals while supporting rapid growth. Responsibilities: Implement and maintain cost tracking dashboards across AWS, GCP, and SaaS platforms. Create cost allocation tagging standards to enable team-level visibility. Develop real-time alerting for abnormal spend spikes. Work with engineering teams to right-size infrastructure, optimize reserved instances/savings plans, and reduce unused capacity. Identify cost-saving opportunities in our cloud & SaaS solution.. Recommend architecture patterns that balance performance, scalability, and cost. Establish cloud budget guardrails Requirements • 3-4 years of experience in cloud financial management with AWS or AZURE • Hands-on experience with FinOps tools (CloudHealth, CloudZero, AWS Cost Explorer, GCP Billing). • Strong understanding of Kubernetes, serverless, and event-driven architectures. • Proven track record in cost optimization initiatives for large-scale cloud environments. • Solid skills in data analysis using SQL, Python, or similar for cost reporting. • BSc in finance or an engineering field - an advantage

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