דרושים » הנדסה » FinOps Engineer

We're looking for a proactive and analytical Cloud FinOps Engineer to join our team and take ownership of our cloud financial operations. In this role, you'll be the crucial link between our engineering, product, and finance teams, ensuring we build and run our cloud services efficiently and profitably. You won't just be reporting on costs; you'll be a strategic partner who drives financial accountability and intelligence across the organization. You will be working closely with the Chief Architect, VP R&D and the Platform teams.

What You'll Do
You'll dive deep into our cloud and SaaS spending data to uncover trends, identify optimization opportunities (like right-sizing, reserved instances, or savings plans), and work directly with engineering teams to implement your recommendations.
You will collaborate closely with Product Managers to analyze the underlying costs of customer usage. Your insights will directly shape our pricing models and help evaluate the commercial viability of new features and projects before they're built.
You'll establish and maintain our cloud cost governance framework. This includes perfecting our resource tagging strategy, managing cost allocation, and building automated guardrails to prevent budget overruns and wasteful spending.
You will build and manage insightful dashboards, reports, and alerts that provide clear visibility into our cloud spend for all stakeholders. When you spot an anomaly or a spike in costs, you'll be the one to investigate and escalate it.
You will work with our cloud and SaaS providers to understand their pricing models and discount opportunities. Where appropriate, you'll participate in negotiating contracts to ensure we're always getting the best value.
Keep a pulse on the latest industry trends, best practices, and emerging technologies in the FinOps space to ensure we remain efficient and competitive.

We seek a FinOps Engineer to join our DevOps & Cloud Group, focusing on optimizing cloud costs, driving financial accountability, and leveraging automation for efficient cloud resource management.
What am I going to do?
Analyze, monitor, and report on cloud usage and expenditures, identifying cost-saving opportunities, improving efficiency, and leading the development and maturation of the FinOps framework.
Collaborate with engineering and operations teams to develop and implement cloud cost optimization strategies, ensuring alignment between technical activities and financial objectives.
Implement and maintain financial governance and controls across cloud platforms, utilizing automation for cost trend optimization, anomaly detection, and accurate forecasting.
Work closely with procurement and vendors to manage cloud costs, ensuring effective negotiation and alignment with organizational financial goals.
Educate and train teams on FinOps best practices, promoting financial accountability and fostering collaboration across departments.
Lead change management initiatives within cloud or IT transformations, guiding teams and influencing best practices in cloud financial management.

We are seeking a highly skilled Senior Networking AI Platform Engineer to join our Applied Networking AI group. In this role, you will help design and develop cutting-edge AI solutions, integrating them seamlessly into a variety of products. Youll collaborate closely with multi-functional teams of data scientists, software engineers, and DevOps professionals to ensure the efficient deployment, monitoring, and optimization of machine learning (ML) models.
As a key contributor, you will drive the entire software development lifecycle-from conceptualization and architecture to implementation and production-while working closely with engineering teams to solve complex problems and help build a successful company practice.
What you'll be doing:
Lead the design, development, and deployment of robust software systems across different platforms and environments
Architect, design, and implement scalable and high-performance software solutions, handling complex requirements and integrating various subsystems
Ensure systems are maintainable, flexible, and well-documented, with an emphasis on performance and security
Adapt to new tools, technologies, and frameworks, and be capable of taking ownership of the development process from conception to deployment
Supply innovative ideas and solutions, driving continuous improvement in both code quality and system efficiency
Develop and maintain scalable infrastructure for handling and deploying security and networking ML models in production, ensuring high availability, scalability, performance.
Design and implement data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
Optimize and fine-tune ML models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Collaborate with data scientists and software engineers to operationalize and deploy ML models, including model versioning, packaging, and integration with existing systems.

We are looking for a DevFinOps Engineer who is a DevOps expert at heart but possesses a specialized passion for cloud financial management. At Fiverr, this isn't just about reading billing reports, it’s about engineering efficiency. You will join our DevOps team as a technical leader who views cost as a first-class engineering metric, just like performance or reliability. You’ll be the primary architect of our cloud spending strategy while remaining deeply embedded in our core infrastructure and platform work.

What am I going to do?:

* Engineer for Efficiency: You won’t just find savings, you’ll build the automation, tools, and infrastructure changes required to achieve them.
* Bridge the Gap: Act as the translator between Engineering and Finance, turning complex cloud usage data into actionable technical roadmaps.
* Mentor & Evangelize: Serve as the domain owner for the entire engineering organization, teaching teams how to architect for cost-efficiency from day one.
* Full-Stack Cloud Management: Participate in the broader DevOps lifecycle, including IaC, Kubernetes management, DB management, data stream, etc.. ensuring that cost-optimization is baked into our DNA, not treated as an afterthought.
* Advanced Analytics: Leverage data to forecast cloud spend, manage RIs and Savings Plans, and identify "zombie" resources or architectural bottlenecks.

Equal opportunities:
At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

We are looking for a motivated Senior DevOps Engineer to join our Cortex Devops Production group in our Tel Aviv R&D center. The group is responsible for the reliability and availability of the production environment hosting Cortex XDR and the enablement of the entire XDR RnD group using CI tools, infrastructure, and automation.
In this role you will a part of a DevOps group that is responsible for planning, executing, and reporting the various infrastructure and code projects, as well as managing and executing high-pressure production maintenance work and issues
More information about the Cortex-XDR product can be found here.
Your Impact
You will take full end-to-end responsibility for the production environment of our SaaS product deployed on GCP
You will build tools for the automatic remediation of known issues
You will develop Infrastructure-as-code which will be used to orchestrate production and dev environments
You will design, build, maintain, and scale production services with thousands of Kubernetes clusters
You will secure the production environments and add in new security tools and features both internal our company and other market-leading technologies
You will work closely with development teams to design and enhance software architecture to improve scalability, service reliability, cost, and performance
You will build CI pipelines and automation processes
Participate in the on-call rotation supporting the applications and infrastructure
You will research cutting-edge technologies and deploy them to production.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the Central Processing Unit (CPU), System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision making. You will correlate performance projections with measured post-silicon data.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SoC performance modeling team, and other company Software teams.

We are looking for a hands-on, proactive DBA to join our growing SASE R&D DevOps group. As our dedicated Database Administrator, you will own the operational and performance aspects of our database stack and work closely with R&D engineers, SREs, and QA to ensure our data layer is resilient, efficient, secure, and scales with our business.

This is not a siloed infrastructure-only role - you will partner deeply with developers from design to production, provide input on data modeling and query optimization, and ensure best practices across the board, from schema design to observability, disaster recovery, and upgrades.

We are in a period of hyper-growth - both in terms of customer adoption and engineering scale. This brings exciting challenges in performance, scalability, cost-efficiency, and reliability. Youll play a key role in shaping how our data infrastructure supports this scale and future-proofs our platform.

Key Responsibilities
Own and operate production and pre-production databases, including:
MongoDB (Atlas)
Redis (AWS ElastiCache Valkey)
RabbitMQ (EC2-based cluster)
Additional databases as our platform evolves
Work closely with developers to optimize data models, indexes, and queries across the SDLC (design, QA, staging, production).
Partner with SREs to ensure high availability (99.99% uptime), disaster recovery, monitoring, and performance tuning.
Plan and execute schema changes, index strategies, and database version upgrades with zero or minimal downtime.
Set up and enforce backup, restore, and retention policies aligned with compliance and availability needs.
Implement and maintain observability tools and alerting for the data infrastructure.
Lead cost optimization of all data services - rightsizing, usage analysis, cleanup, and architecture alignment.
Troubleshoot and resolve data-related incidents; participate in on-call rotations and post-mortems as needed.

We are looking for a DevOps Engineer to lead Observability and Continuous FinOps as core platform capabilities at our company.This is a hands-on platform role. You will own the systems, automation, and operating models that give engineers and leadership deep visibility into system health and cloud spend. You are a DevOps engineer first, with primary ownership over observability and cloud financial management.
What Youll Do
Own and operate our companys observability platform, including metrics, logs, traces, and alerting
Build observability-as-code and self-service tooling for development teams
Define and implement observability standards such as SLIs, SLOs, error budgets, and service health models
Lead our companys Continuous FinOps practice together with Engineering and Finance
Build and maintain cost dashboards, alerts, anomaly detection, and forecasting
Provide clear unit-economics and cost allocation across teams, services, and environments
Drive cloud cost optimization initiatives across compute, storage, and managed services
Build and maintain cloud infrastructure, CI/CD pipelines, and infrastructure-as-code
Partner closely with Engineering, Platform, and Finance stakeholders.

We are looking for a 100% hands-on Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, and external customers. You will take part in defining the software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.

We work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.

What youll be doing:

100% hands-on coding role in C language, kernel and userspace.

Research, design, implement and test, new and existing, networking features for distributed storage services and features of our block storage solution, in both Host and DPU environments.

Acquire understanding of the algorithms, the technicalities and the interaction with other components across our block storage ecosystem.

Analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox kernel modules and often in other components. Drive new solutions based on any issues that arise.

As Site Reliability Engineer on the IT Production team in our Tel Aviv Office, youll play a vital role in building robust services and solving infrastructure challenges with automations while working with cutting-edge technologies and bringing those to their limits on our mostly on-prem cloud like infrastructure.
As a Site Reliability Engineer, youll bring value by:
Ensure Reliability & Scalability: Design, implement and manage highly reliable and scalable distributed systems across our on-premise, cloud and AI/ML environments. Proactively optimize performance, efficiency, resource utilization and cloud cost.
Drive Automation: Automate repetitive tasks, infrastructure provisioning, configuration and deployments using IaC and scripting languages (e.g., Python, Go, Rust).
Develop Observability & Capacity: Implement comprehensive monitoring and alerting systems to ensure system health. Collaborate on capacity planning to meet future growth.
Maintain Security & Compliance: Integrate security best practices and ensure compliance with industry standards.
Lead Incident Management: Participate in on-call rotations, lead incident responses and conduct root cause analysis to minimize downtime.
Foster Collaboration & Improvement: Work closely with development, operations and security teams to drive shared responsibility and continuous improvement in SRE practices.