דרושים » הנדסה » Junior FinOps Analyst

Requirements:
This role requires prior experience in FinOps for a medium-sized organization, either as a team leader or member, with 3+ years of experience leading or being part of a FinOps function within an organization.
You have a solid understanding of cloud services (AWS, GCP) and the financial implications of different architectural choices. You know what Terraform is and understand modern cloud architectures. Bonus points if you are coming from an engineering/devops background.
You don't wait to be told what to do. You actively seek out opportunities for improvement and take ownership of the financial health of our cloud infrastructure.
You have a knack for turning complex datasets into actionable insights and clear recommendations. You're comfortable navigating billing consoles and cost explorers.
You can confidently partner with engineers, product managers, and leadership to explain financial concepts and drive change.
You thrive in a team environment and understand that the best results come from working together to mediate technical priorities and achieve shared goals.

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 dont 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, or GCP
Experience with Terraform 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, Azure Cost Management, or similar.
Experience with AI-driven agents or automated root-cause analysis systems for cloud cost anomalies - A significant advantage.
Familiarity with Snowflake and Tableau to analyze massive billing datasets and identify hidden cost driver - An advantage.

Requirements:
* You have extensive experience in Cloud Engineering (AWS/GCP/Azure), Infrastructure as Code (Terraform), and Containerization (Kubernetes).
* The FinOps Mindset: You get a thrill out of seeing a cloud bill drop because of an architectural optimization you led.
* Analytical Rigor: You are comfortable diving deep into data, using SQL or BI tools to visualize trends and identify anomalies.
* Communication Skills: You can explain the "why" behind cost-saving initiatives to both the CTO and senior management.
* Curiosity: You stay ahead of the curve on new cloud provider features and pricing models to ensure Fiverr is always utilizing the most efficient tech stack. You won't be siloed in a "Finance" role. You will be a core member of a high-scale engineering team, managing one of the most dynamic cloud environments in the industry. This is a role where your technical decisions have a direct, measurable impact on the company’s bottom line.

Requirements:
Description> Our Business Bond Sports is a fast-growing, vertical software company that powers recreational sports and fitness centers. We help anyone that owns or operates a place to play sports better manage their courts, fields, pools, gyms, or other athletic spaces, including rentals, program management and registration, memberships and point of sale systems. Our name is derived from our belief that sports can create lifelong bonds between people and communities. By providing facilities with a comprehensive operating system, Bond Sports can make access easier for more people. Commercially, the recreational sports market is an industry that is expected to grow to over $100 Billion in the next 10 years, providing a tremendous growth opportunity for our company and our employees. Our Team Our management team consists of experienced entrepreneurs with proven success in growing early stage tech startups, as well as operating large scale business units and products for leading global, publicly traded companies. We are building a diverse team of smart, curious, collaborative, passionate and hardworking people, and are looking for the right people to contribute to our culture. The Role We're looking for an experienced Mid-Level Full Stack Developer to join our growing engineering team. You'll work closely with product managers, designers, and fellow engineers to build and scale high-impact features across our B2B2C SaaS platform. Your work will directly influence the experience of thousands of users, and you'll play a key role in shaping our architecture, performance, and engineering best practices as we continue to scale. Job Responsibilities: Develop and maintain Full-Stack applications, following coding standards and best practices. Collaborate with the team to ensure code quality and contribute to design and code reviews. Assisted in architectural discussions and ensured alignment with project goals and standards. Work with cross-functional teams to enhance the development lifecycle and productivity. Continuously learn and stay updated on emerging technologies and trends. Actively participate in the team's growth by sharing knowledge and collaborating with peers. Requirements Must-Haves: 2+ years of experience in Full-Stack web development. Experience in technologies such as Node.js, React, and TypeScript. Experience with a server-side language (e.g., Node.js, Python, JAVA, C #). Familiarity with Front-End frameworks like React, Angular, or similar. Exposure to cloud platforms such as AWS or GCP. Basic knowledge of databases, analytics, cloud architecture, and data pipelines & ETLs. Bachelor's degree in Computer Science (or related field) Bonus: Eagerness to learn and grow in a dynamic environment. Strong communication skills and the ability to collaborate effectively. A proactive mindset with the flexibility to adapt to changing priorities. A passion for technology and a desire to contribute to innovative solutions.

Requirements:
3+ years of experience in FinOps Positions
Strong hands-on experience with AWS
Infrastructure-as-Code experience (Terraform or similar)
CI/CD experience (GitHub Actions, GitLab CI, Jenkins, etc.)
Experience operating observability systems (Datadog, Prometheus, Grafana, ELK, OpenTelemetry)
Understanding of cloud pricing models, billing, tagging, and optimization strategies
Strong automation, analytical, and communication skills
Comfortable owning greenfield domains end-to-end

Requirements:
what we need to see:
bachelors degree or equivalent experience in Computer Science, engineering, or a related field.
8+ years of experience in data center or cloud infrastructure, including Linux server administration and deployment of ai / hpc workloads.
hands-on experience with core infrastructure technologies such as kubernetes, docker, monitoring and observability tools (e.g., grafana), virtualization platforms, and at least one major cloud provider (aws, azure, or gcp).
solid understanding of networking and Storage concepts relevant to modern ai/hpc data centers.
demonstrated experience delivering technical training or workshops, with excellent presentation, facilitation, and english communication skills.
ability to work effectively in a matrixed organization and collaborate with product, engineering, and enablement teams.
ways to stand out from the crowd:
direct hands-on experience with our technologies such as dgx systems, gb200 / superpod, infiniband networking, our ai enterprise, or related ai/hpc platforms.
prior experience building or delivering hands-on labs that simulate data center environments, including gpus, networking, Storage, and management tools.
relevant certifications (e.g., cka/ckad, cloud architect certifications, red hat, or advanced networking certifications).
proven track record as a technical instructor for enterprise customers or partners, especially in ai, hpc, or large-scale infrastructure domains.

Requirements:
3+ years of experience in DevOps, SRE, or Platform Engineering
Strong hands-on experience with AWS
Infrastructure-as-Code experience (Terraform or similar)
CI/CD experience (GitHub Actions, GitLab CI, Jenkins, etc.)
Experience operating observability systems (Datadog, Prometheus, Grafana, ELK, OpenTelemetry)
Understanding of cloud pricing models, billing, tagging, and optimization strategies
Strong automation, analytical, and communication skills
Comfortable owning greenfield domains end-to-end

Requirements:
B.Sc. in Computer Science from a leading university OR Alumnus of an elite military technology unit - MUST.
At least 5 years of hands-on backend software development experience, primarily in Node.js - A MUST.
Deep knowledge of the JS event loop and asynchronous programming. - A MUST.
Practical experience with frontend development (e.g., React) and a strong willingness to contribute to client-side development when necessary to deliver end-to-end features - A MUST.
At least 5 years with Cloud Computing across at least one of the big three providers (AWS, Azure, GCP), with a focus on Cloud-Native services. This includes expertise in serverless computing, managed container orchestration (EKS/AKS/GKE), and auto-scaling strategies beyond basic IaaS/VM management - A MUST.
Proven experience designing scalable services using Microservices Architecture and related patterns (e.g., Service Mesh, API Gateway, BFF).
Strong understanding of Event-Driven Design (e.g., high-throughput message brokers like Kafka, RabbitMQ, SQS) and Domain Driven Design (DDD) principles.
Experience with high-speed in-memory state management (e.g., Redis) and relational data stores (e.g., PostgreSQL).
Hands-on experience with containerization technologies, specifically Docker and basic Kubernetes usage.
Deep understanding of Infrastructure as Code (IaC) principles. Proven experience managing cloud infrastructure programmatically using tools like Terraform, AWS CDK, or Pulumi (we treat infrastructure as software) - A Big Advantage.
Deep expertise in designing highly secure, multi-tenant SaaS solutions, ideally with knowledge of Zero Trust Architecture (ZTA), mTLS, and secure edge-to-cloud communications.
Strong understanding of CI/CD concepts and automation tools.
Team player, with strong communication, collaboration, and active listening.
Agile/Scrum environment expertise.

Experience designing data pipelines for high-volume time-series telemetry and implementing long-term, cost-optimized data retention strategies (e.g., Object storage tiering).
Experience with Geospatial processing (GIS), mapping technologies (Map tile services, GeoJSON, OGC standards), and implementing spatial rules/geo-fencing.
Advanced Kubernetes experience (Operators, CRDs, Helm) for complex deployment scenarios.

Requirements:
Strong technical background and hands‑on experience developing cloud‑native services.
Proven leadership experience managing teams or cross-functional projects.
Deep understanding of AWS, Azure, Kubernetes, and major SaaS / PaaS services.
Expertise in cost and cost optimization techniques.
Excellent communication and stakeholder management skills.
Ability to influence at all levels and drive organizational change.
Preferred Qualifications
Experience operating in large‑scale, distributed cloud environments.
Background in DevOps, SRE, architecture, or performance engineering with a cost‑ownership mindset.

Requirements:
1-3 years experience in data analysis, preferably in a complex business environment. Application of Magna Cum Laude graduates from top universities with no prior experience will be considered as well.
Strong SQL skills with experience in querying large, complex data sets.
BA / BSc in Industrial Engineering and Management / Information Systems Engineering / Economics / Statistics / Mathematics / similar background.
A strong foundation in statistical methods and data modeling.
Experience working with Cloud Data Warehouses (Redshift, Big Query, or Snowflake).
Quick learner, proactive/can-do attitude with high attention to detail.
A strong sense of ownership, leading data initiatives from end to end independently.
Ability to work in a fast-paced environment.
Creative and critical thinking skills.
A team player with strong analytical and problem-solving skills as well as a business sense.
Excellent communication skills with fluent English (written and verbal); Strong "story-teller" that can communicate insights and recommendations effectively.
Advantages
Previous experience as a Marketing Analyst / Monetization Analyst / Close collaboration with similar teams.
Experience with Marketing and User Behaviour analysis methods and models: Campaigns optimization, Retention, User activity funnels, etc.
Hands-on practical knowledge in A/B testing to facilitate data-driven decision-making processes.
Knowledge of Python for data prep, analysis and statistical modelling.
Knowledge of statistics and experience using statistical packages for analyzing datasets.
Experience working with BI tools for data visualization (Preferably Power BI or Looker).
Experience in a tech company.
Passion for Sport.