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We are looking for a DevOps Engineer to join our team. The candidate will help drive the next generation of innovation using the cutting edge of modern technologies. This role is an excellent opportunity to learn and develop cutting-edge technologies and DevOps methodologies.
How Youll Spend Your Day:
Work within a team of professionals and be an integral part of success
Collaborate closely with R&D, Security, and IT teams to enhance infrastructure
Deploy and operate a large-scale platform
Research, develop, and implement tools to support monitoring infrastructure and automation
Oversee production environment & system health (including on-call rotation)
Contribute to the development of CI/CD processes
Troubleshoot complex problems, from diving into the console during an issue to writing new monitors and automation

As a Senior DevOps Engineer, you will be pivotal in designing, implementing, and maintaining our cloud infrastructure. You will join a highly technological team responsible for managing our cloud environments, optimizing infrastructure, and ensuring security and cost efficiency. In this role, you will collaborate with key stakeholders across the company, including R&D, Security, and Product teams, to automate processes, streamline operations, and drive impactful changes in our cloud strategy.

Key Responsibilities:

Cloud Infrastructure Design & Implementation: Lead the design and implementation of our cloud infrastructure, ensuring it is secure, scalable, and cost-effective.
Automation & Streamlining: Help automate and streamline our operations and processes, enhancing efficiency and reducing manual intervention.
Cross-Functional Collaboration: Work closely with all major stakeholders in the company, including R&D, Security, Product, and more, to ensure seamless integration of DevOps practices.
Impactful Contribution: Play a major part in shaping the companys cloud strategy, focusing on innovation and long-term success.

We're looking for a Devops Engineer for our R&D team, who is passionate about application architecture, system design, and end to end implementation.

Responsibilities:

You will independently determine and develop architectural approaches and solutions, building automated deployment and testing environments, managing performance bottlenecks and continuously improving the security and resilience of our platform, and act as a knowledge source for other team members. If youre a get-things-done, hands-on creative thinker and doer, this ones for you.

Join us as a Senior DevOps Engineer and shape our cloud infrastructure strategy as we scale. You'll lead critical initiatives across our development lifecycle while working with cutting-edge technologies in a collaborative, growth-focused environment.
You will:
Design and implement cloud infrastructure across development, testing, and production environments on AWS.
Ensure our production environment maintains the highest standards of stability, availability, and performance.
Review the current automation strategy partnering with stakeholders to implement a holistic, scalable solution that supports our multi-year growth trajectory
Work with the Information Security team to improve security, enhance data isolation, access controls and network/application security across our infrastructure.

Were looking for a hands-on and experienced Software Development Team Lead to guide a talented team of full-stack engineers working on a modern application built in React, supported by TypeScript-based microservices on Node.js. This role requires a balance of technical leadership, people management, and collaborative problem-solving.
Youll work closely with product managers, designers, and other stakeholders to deliver high-quality features and scalable architecture, while ensuring best practices in engineering and DevOps.
Key Responsibilities:
Lead and mentor a team of strong full-stack developers across the frontend and backend stack
Collaborate with product, design, and QA to plan and execute on sprint goals
Ensure technical excellence through code reviews, architecture decisions, and hands-on contributions
Facilitate agile ceremonies (stand-ups, sprint planning, retrospectives)
Foster a high-performance, learning-driven culture within the team
Own the team's delivery pipeline, including CI/CD, testing, monitoring, and performance optimization
Identify and resolve tech debt, architectural bottlenecks, or scaling issues
Champion code quality, security, and performance best practices

We are seeking a talented and motivated Infrastructure Engineer to join our growing team. As an Infrastructure Engineer, you will be responsible for designing, developing, and maintaining tools and infrastructure that enable efficient and secure development and deployment processes. You will work closely with cross-functional teams to understand their requirements and design solutions that meet their needs.

Responsibilities
Design, develop, and maintain tools and infrastructure that enforce platform standards, ensuring high-quality standards are maintained across the organization.
Collaborate closely with cross-functional teams to understand their requirements, provide technical guidance, and ensure successful implementation.
Architect and build scalable, reliable, and secure infrastructure solutions that support the company's R&D and DevOps teams.
Ensure adherence to security and governance policies to protect company data and systems, ensuring compliance with relevant regulations.
Troubleshoot and resolve infrastructure-related issues in a timely manner to minimize downtime and optimize performance.
Stay up-to-date with industry trends and emerging technologies in Infrastructure/Platform Engineering and leverage this knowledge to drive innovation and improve processes.

We are seeking a highly skilled and motivated MLOps Engineer to join our team and play a critical role in the deployment, automation, and maintenance of our machine learning infrastructure. You will be responsible for ensuring that our ML models move seamlessly from experimentation to production with stability, security, and scalability in mind. You will work closely with data scientists, machine learning engineers, and DevOps teams to build robust model pipelines, manage infrastructure across on-prem and cloud, and enforce best practices in version control, model deployment, and compliance. Key Responsibilities: · Design, implement, and maintain automated model training pipelines using tools such as MLflow, (Kubeflow, Airflow), or custom orchestrators. · Support reproducibility and consistency across model training environments. · Implement and manage Artifactory. · Establish and maintain model registries to track versions, metadata, and lineage. · Automate model promotion through staging, testing, and production environments. · Build CI/CD pipelines tailored for ML use cases, integrating model training, validation, deployment, and rollback. · Manage and scale infrastructure across cloud platforms (Azure) and on-premise environments · Optimize GPU/CPU resource utilization and cost efficiency. · Implement auto-scaling and load balancing strategies for ML workloads. · Manage version control systems (e.g., Git) and integrate with experiment tracking tools. · Handle storage and retrieval of artifacts (e.g., Docker images, models, datasets) via artifact registries like JFrog Artifactory or AWS ECR.

Required FinOps Engineer
Job Description
As a FinOps Engineer, you'll be responsible for managing and optimizing the financial aspects of our cloud computing operations, including monitoring and controlling AI-related costs. In this role, you will work collaboratively as part of a team, demonstrate initiative, think creatively, and drive innovative solutions. You'll work closely with the CFO and VP of R&D to ensure cost efficiency, budget adherence, and financial transparency across our cloud services.
In your day-to-day, you will:
Work directly with different external hosting providers to manage hosting costs
Manage and monitor cost visibility for multi-data center architecture in a large-scale, multi-cloud environment
Work with financial teams on production-related budgets, forecasts, and expense reports
Create financial models to calculate TCO of new projects
Create financial and usage dashboards, as well as frameworks for efficiency & costs
Partner with the development, support and devops teams to encourage financial responsibility
Stay updated on industry trends and best practices in cloud cost optimization and FinOps methodologies.

Required Site Reliability Engineer
Realize your potential by joining the leading performance-driven advertising company!
As Site Reliability Engineer on the IT Production team in our TLV 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.
How youll make an impact:
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.
Our Tech Stack:
Linux, Kubernetes, nginx, Istio, AWS, GCP, Azure, Alicloud, Fastly, Terraform, Consul, Prometheus, Loki, Grafana, Airflow, Redis, Kafka, Vector, Hadoop, Cassandra, Vertica, MySQL, HDFS, ELK.

We are looking for a highly talented technical individual to join the Cortex XDR infrastructure team.
The team is responsible for developing automation infrastructure and various cloud based tools and platforms that are used across the research, development and QA departments to ensure the functionality, stability and quality of the XDR product, alongside the efficiency of the infrastructure and process used to build, test and deploy on various clouds and distributions. We believe that the platforms & infrastructure that the team provides are a critical & crucial part of our department's progress to the modern future and one of our key growth factors.
As a Platform engineer you will play a pivotal role in enhancing our development and automation experience by pushing forward modern automation approaches, eliminating manual efforts and introducing new development operations for continuous integration, scale & durability using advanced cloud services. Your expertise will be used in areas such as infrastructure development, cloud based automation, serverless infrastructure, automation as a service, providing technical guidance, and pushing infrastructure\configuration as a code and GitOps approach across the development departments.
To succeed in this role, you should have a strong foundation in modern cloud based automation methodologies and a comprehensive understanding of industry best practices, especially in redundancy and scalability of large systems and the ability to control them via SCM based declarative configs. You should be familiar with modern public clouds approaches and serverless based architectures, including virtualization containers and container based orchestration including multiple Kubernetes based deployments. You should be comfortable engaging in complex technical discussions and advocating for optimal solutions in a fast-paced growing environment as part of our quest for continuous improvement.
Your Impact
Utilize modern technologies including serverless cloud services, Kubernetes, Terraform, among others, and use them all in an infrastructure/configuration as a code GItOps approach to manage everything via source code and continuous integration processes
Design and implement (hands on) the next generation of platforms, automation frameworks, SDKs, and tools to be used across our entire R&D group, and be part of our infrastructure transition to the cloud
Develop and maintain a cloud based test execution system, that supports parallel executions on multiple operating systems and multiple cloud providers and at a very large scale, and by so helping reduce the amount of effort required to perform automatic testing and manual testing, and reduce time to market
Provide tools, systems and simulators for scaling up all lifecycle phases of our products and services including cross company and third party integrations and frameworks to be used in high scale
Introduce progress and help revolutionize our operations and lay the foundation for innovation and growth.

Required Site Reliability Engineer Panda team
Realize your potential by joining the leading performance-driven advertising company!
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.
Our Tech Stack:
Linux, Kubernetes, nginx, Istio, AWS, GCP, Azure, Alicloud, Fastly, Terraform, Consul, Prometheus, Loki, Grafana, Airflow, Redis, Kafka, Vector, Hadoop, Cassandra, Vertica, MySQL, HDFS, ELK.

Required MLOps Engineer - AI Infra Group
Tel Aviv Full-time
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
Responsibilities
Design, build, and maintain scalable Kubernetes-based infrastructure for ML workloads across on-premise and cloud environments
Architect hybrid infrastructure solutions enabling seamless model flow from on-premise training environments to cloud-based inference deployments
Implement model registry and artifact management strategies that support cross-environment synchronization, versioning, and governance
Design secure, efficient data and model transfer mechanisms between on-premise and cloud (networking, storage replication, caching strategies)
Implement and manage GPU scheduling, resource allocation, and cluster autoscaling for heterogeneous compute environments
Build and maintain CI/CD pipelines for ML systems, including model versioning, testing, and promotion across environments
Develop observability solutions (logging, monitoring, alerting) for ML infrastructure across hybrid deployments
Collaborate with ML Engineers to define infrastructure requirements and SLAs for training and serving workloads.