דרושים » תוכנה » cloud finops analyst- 2574

Requirements:
At least two years of experience in planning architecture for complex and systemic projects in the field of computing, storage, network and information security in an Enterprise environment
At least two years of experience in the field of establishing cloud infrastructures in AWS/GCP/AZURE - mandatory
Experience in developing automation processes and scripts based on Infrastructure As A Code (for example: Terraform) - an advantage
Two years of experience in hands-on positions in the fields of information security and cyber protection in the cloud - a plus
Familiarity with K8S - an advantage
Familiarity with DevOps tools such as: AzureDevOps, GIT, ART factory, etc. - an advantage
Professional certifications, CISSP, CCSP, CCSK, security architect certification of the various cloud providers - an advantage
Technological degree / military experience - an advantage
Workplace: Central area (access to the train).

Requirements:
Two years of experience in planning and building architectures for complex projects in the public cloud environment - mandatory.
In-depth familiarity with all cloud service solutions of AWS and GCP - an advantage.
Familiarity with advanced DevOps processes including CI/CD automation - an advantage.
Ability for self-learning, teamwork, and project leadership - an advantage.
Certifications as an architect from cloud providers AWS/GCP - an advantage.
Relevant technological degree - an advantage.

Requirements:
Proven experience as a Cloud Architect, Cloud Solutions Architect, or in a similar cloud infrastructure role.
Deep understanding of cloud computing principles, microservices architectures, and serverless computing.
Expertise in at least one major cloud provider (GCP, AWS, Azure) and their core services (compute, storage, networking, databases).
Strong knowledge of containerization platforms and orchestration tools (Docker, Kubernetes).
Extensive experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation, Pulumi) and scripting languages (Python, Bash).
Solid understanding of cloud networking (VPC, VPN, routing, load balancing) and cloud security concepts.
Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Strong problem-solving, analytical skills, and a customer-centric mindset.
Bachelors degree in Computer Science, Engineering, or a related field.
Advantage: Professional-level cloud certifications (e.g., Google Cloud Professional Cloud Architect, AWS Certified Solutions Architect - Professional).

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, 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.

Requirements:
2+ years of experience in FinOps, cloud cost management, or SaaS cost governance
Hands-on experience working with cloud billing data and cost analysis
Strong ability to work with engineering and technical stakeholder
Ability to understand and challenge usage patterns and technical decisions
Solid understanding of:
cloud environments (AWS / GCP / Azure)
resource usage and billing models
APIs and system usage patterns
how technical decisions impact cost
Strong analytical skills with the ability to translate data into clear insights and actions
Demonstrated ownership mindset and ability to drive initiatives end-to-end
Advantage:
Familiarity with AI tools, LLMs, or token-based pricing models
Experience with FinOps tools or SaaS management platforms
Experience working in cross-functional environments (engineering + finance + procurement)
Experience building processes, dashboards, or automation tools.

Requirements:
What youll need:
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:
Requirements:
5+ years of hands-on experience as a DevOps engineer or similar role.
Proven experience designing, implementing and maintaining cloud based production environments in leading cloud providers such as AWS, GCP and Azure.
Strong proficiency in Python for scripting and automation.
Significant experience with IaC tools such as Terraform.
Strong expertise in CI/CD processes, including hands-on experience.
Familiarity with containers and microservice architecture.
Advanced Linux administration skills, including networking, storage, and troubleshooting expertise.
Outstanding team player, with strong communication, collaboration, active listening, and problem-solving skills.
Hard worker, ability to work independently in a complex environment, with a high sense of urgency, ownership and eagerness to work on a diverse set of system challenges.

Advantages:
Experience with multi-cloud/cloud agnostic architecture.
Experience with secure networking technologies such as ZTNA.

Requirements:
* Proven experience in a DevOps leadership or infrastructure management role, including at least 3 years of team leadership responsibility.
* Strong hands-on expertise in AWS and/or Azure ; experience with both is a significant advantage.
* Experience designing and operating hybrid cloud and multi-cloud environments.
* Strong background in CI/CD implementation using Jenkins and GitHub Actions
* Deep experience with Infrastructure as Code, with Terraform as a mandatory requirement.
* Strong scripting and automation skills using Python PowerShell, and/or Bash
* Solid understanding of cloud security and secure infrastructure practices, including identity, networking, hardening, and regulatory alignment.
* Hands-on experience with monitoring and observability tools such as Grafana Prometheus CloudWatch Azure Monitor, or New Relic
* Strong knowledge of container orchestration technologies ; experience with ECS and/or AKS is an advantage.
* Strong infrastructure and systems foundation across Windows and Linux, including networking, VPN, DNS, load balancers, and firewalls.
* Experience integrating enterprise systems and working with APIs and API Management
* High level of English proficiency. Nice-to-Have Qualifications
* Experience with open-source configuration management and orchestration tools such as Ansible
* Familiarity with artifact and repository management tools such as Nexus
* Experience in FinOps and cloud cost optimization.
* Exposure to Generative AI and LLMOps, including understanding of the AI model lifecycle from prompt engineering and fine-tuning through deployment and production monitoring.
* Familiarity with infrastructure requirements for large language models (LLMs) and the use of vector databases
* Experience leading enterprise-scale modernization, cloud migration, or CI/CD transformation initiatives. The position is located at the clients offices in Yakum and is fully on-site (no hybrid work).

Requirements:
3+ years of experience in a DevOps role, with a strong focus on managing Kubernetes-based environments and Helm orchestration
A proven track record in working with metrics-based monitoring and observability solutions such as Prometheus, Thanos, and Grafana
Experience developing in Python or any other advanced programming language
Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure), specifically in building and scaling production-grade infrastructure
Experience implementing CI/CD and automation processes for the deployment of various observability systems and infrastructure components
In-depth knowledge of logging systems and data flows, with familiarity with tools like the ELK stack or Coralogix
Familiarity with APM tools and modern observability standards such as OpenTelemetry, New Relic, or Datadog

Requirements:
3+ years of experience in a DevOps role, with a comprehensive understanding of practices that promote streamlined development and operational efficiency
Strong track record of developing custom AI-driven automations or agents to accelerate DevOps workflows, enhance system monitoring and optimize cloud costs
Proven success in maintaining a production-ready Kubernetes cluster, ensuring its high availability and scalability to support large-scale operations
Extensive management experience of multiple AWS accounts spanning various regions, proficient in services like Lambda, CloudFront, SQS, VPC, and IAM
Expertise in utilizing CI/CD platforms such as GitHub Actions, Jenkins and ArgoCD
Solid experience with Terraform
An innovative thinker with a propensity for fast learning, known for possessing a strong sense of ownership and accountability in delivering quality solutions
Advantage:
Advanced skills in managing, installing, and configuring Kafka solutions like MSK and Apache Kafka
Experience with Redis, AWS ElasticCache or any other key-value DBs
CloudFlare Management.