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Were looking for a DevOps Engineer to join the R&D team and spread our power. In this role, you will design and implement scalable systems that will keep us running smoothly and support our significant business growth. You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.
Responsibilities:
Take an active part of all DevOps areas: our infrastructure and cloud environment, tools, services and up-time.
Be part of our products architectural and infrastructure design, examine and implement new cloud technologies, and open-source tools to improve the delivery and availability of the product.
Plan and push forward the growth and scale of data capacity for various products.
Be responsible for the smooth production-grade execution of provided solutions.

Fire-Arc is an innovative, data-driven technology company that develops and publishes multi-platform digital assets. We are growing rapidly and looking for results-oriented people who want to create measurable business impact. As our DevOps Engineer, you will own and optimize our cloud infrastructure, automation, and production reliability in a fast-paced environment. What You’ll Do ?Design, implement, and maintain scalable, secure, and reliable cloud infrastructure, primarily on AWS, with exposure to GCP as an advantage. Build and maintain CI/CD pipelines to automate application deployments and infrastructure changes; CircleCI experience is preferred. Leverage Generative AI tools (e.g., GitHub Copilot, Cursor, Claude Code, or similar) to accelerate scripting, infrastructure automation, CI/CD configuration, and operational troubleshooting. Automate infrastructure provisioning and management using Infrastructure-as-Code (IaC), primarily Terraform and Terragrunt. Automate configuration management and system provisioning using Ansible. Collaborate with development teams to improve application performance, scalability, and reliability. Troubleshoot and resolve infrastructure, application, and network issues to maintain high availability and reliability. Ensure infrastructure adheres to security best practices and organizational standards. Configure and maintain networking components, including proxies, DNS, load balancers, VPNs, and cloud networking. Continuously evaluate and adopt technologies and practices that improve infrastructure reliability, efficiency, and cost-effectiveness. Implement and maintain monitoring, logging, and alerting solutions to proactively identify and resolve infrastructure and application issues.

Brand:
FireArc

We are looking for a DevOps Engineer to join our team. The candidate will help drive the next generation of our innovation using the cutting edge of modern technologies. This role is an excellent opportunity to learn and develop cutting-edge technologies and DevOps methodologies.
What Youll Own:
Work within a team of professionals and be an integral part of our success
Collaborate closely with R&D, Security, and IT teams to enhance our infrastructure
Deploy and operate a large-scale platform
Research, develop, and implement tools to support our monitoring infrastructure and automation
Oversee our 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.

We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability, security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis, capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI teams.
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.

Our SaaS platform leverages AI to make information accessible, actionable, and measurable, driving productivity and satisfaction for enterprises worldwide. As we scale rapidly to support mission-critical deployments, we are strengthening our engineering foundations across cloud infrastructure, reliability, and operational excellence. About the Role You will play a key role in leading and scaling our DevOps team. Your mission is to ensure that our SaaS platform is reliable, scalable, and efficient, while enabling engineering velocity and high-quality delivery. This is a hands-on leadership role combining technical depth with team management. You will work closely with R&D and Product to continuously improve our infrastructure, deployment processes, and production operations.

Responsibilities:

* Lead, mentor, and grow a team of DevOps/Infrastructure engineers, including 1:1s, career development, and performance feedback.
* Own the CI/CD pipeline strategy, driving faster, safer, and more reliable deployments across services.
* Design, implement, and maintain cloud infrastructure using Infrastructure as Code (e.g., Terraform, CloudFormation, Pulumi).
* Lead the adoption and evolution of Kubernetes-based platforms and cloud-native microservices architectures.
* Drive observability and reliability practices: monitoring, alerting, logging, incident response, and on-call rotations.
* Define and enforce SLAs/SLOs, and lead root-cause analysis and postmortems for production incidents.
* Partner with engineering teams to improve developer experience, build tooling, and reduce deployment friction.
* Own cloud cost, capacity planning, and infrastructure scaling decisions.
* Set technical roadmap and priorities for the DevOps function, in partnership with Engineering leadership.

Advantages:

* Certifications in Azure, AWS, Kubernetes (CKA/CKAD), and FinOps Practitioner.
* Experience with knowledge management or AI/ML-powered SaaS products.

We are looking for a talented and experienced DevOps Team Leader to join our infrastructure team. As the DevOps Team Lead, you will manage and lead the DevOps team. You will provide strong technical skills, enhance operational efficiency, design and implement scalable systems to keep us running smoothly, and support our significant business growth. You will be part of an innovative, high-performance R&D department, working with cutting-edge technologies in a dynamic and agile environment.

We are seeking a highly skilled DevOps / Platform Engineer to join our R&D team. In this role, you will be responsible for designing, operating, and scaling our cloud infrastructure while supporting both engineering and machine learning initiatives.

You will own our AWS environment end-to-end - from infrastructure architecture and Kubernetes operations to MLOps enablement, security hardening, and cost optimization. This role goes beyond traditional DevOps and includes responsibilities across IT operations support, multi-account AWS management, DevSecOps practices, DevFinOps ownership, and machine learning infrastructure.

You will play a critical role in ensuring our systems are secure, scalable, observable, and cost-efficient, while enabling fast and reliable software and model delivery.

Responsibilities
Cloud Infrastructure & Platform Ownership

Design, implement, and maintain scalable infrastructure in a multi-account AWS organization
Manage and deploy applications using Helm charts, GitOps workflows using ArgoCD
Support CI/CD pipelines and release processes.
Observability & Reliability

Implement and maintain monitoring and logging solutions.
Define alerts, dashboards, and SLOs to ensure system health and operational excellence.
MLOps Enablement

Support and operate ML infrastructure in AWS
Enable reliable model deployment, monitoring, and lifecycle management.
DevSecOps & Security

Implement security best practices across infrastructure and CI/CD pipelines
Enforce IAM least-privilege policies and secure networking configurations
Integrate security ownership and compliance controls.
DevFinOps & Cost Optimization

Monitor and optimize AWS resource utilization and costs
Implement cost visibility and reporting practices
IT & Operational Support

Support internal IT-related infrastructure tasks
Continuously improve operational processes and automation

We are looking for a Senior DevOps Engineer who thrives in high-scale, high-performance environments. In this role, you will design and manage mission-critical infrastructure, develop automation tools, and ensure the reliability and scalability of platform. You will work closely with engineering teams to optimize performance, enhance observability, and prevent incidents before they happen.

If you love solving complex infrastructure challenges and building tools that empower engineers, this role is for you!

What Will You Do?
As a Senior DevOps Engineer , you will:

Design, build, and maintain a highly available, scalable, and resilient production infrastructure handling millions of requests per second.
Manage and optimize tens of AWS accounts in a multi-account cloud environment.
Developing AI-driven automation frameworks and tools that more than 400 R&D engineers use while enhancing system reliability and engineering efficiency.
Design, implement, and support the LLM and agentic workflow infrastructure, ensuring its scalability and reliability.
Manage thousands of servers and containers, ensuring seamless infrastructure operations.
Improve and maintain our logging, monitoring, and alerting stacks for enhanced observability.
Troubleshoot and mitigate production incidents, participating in on-call rotations to ensure system health and stability.
Collaborate with engineering teams to optimize performance, reduce latency, and improve deployment processes.

In this pivotal position, the DevOps & Platform Engineering Team Lead will take charge of ensuring the reliability, scalability, and operational excellence of the company's cloud platform. This role involves leading a small, high-impact team of DevOps and platform engineers - combining deep infrastructure ownership with platform thinking - building self-service tools and infrastructure that enable R&D teams to move fast and independently.

As part of your role, you will:
Team Leadership & Growth - Mentor engineers, conduct performance reviews, and build a high-trust collaborative team.
Leverage AI to accelerate development and delivery - leverage industry leading tools and our companys agentic concepts to speed up development and operational workflows.
Operational Excellence - Set high standards for code quality, monitoring, and incident response; ensure systems are robust and secure.
Technical Direction - Guide architectural decisions, balancing immediate product needs with long-term scalability.
Enable Autonomous Execution - Build self-service platforms (GitOps, observability, cost dashboards) so product teams deploy and monitor independently.
Stay Hands-On - 60%+ of your time is hands-on: lead architecture reviews, debug critical incidents, and mentor through code and config reviews - you're a player-coach.

As a Senior DevOps Engineer on the Price-It Platform team, youll own core cloud infrastructure, CI/CD, and the Kubernetes platform that powers our cloud-based decisioning products for global insurers and banks. Youll take end-to-end technical ownership of high-impact platform initiatives - from design through production - working hands-on across AWS, Kubernetes, and automation, while shaping how the team builds and ships.


What You'll Do:

Own and evolve the cloud platform: AWS infrastructure, EKS/Kubernetes, and Terraform-based Infrastructure-as-Code.

Build and maintain CI/CD pipelines and GitOps workflows that keep delivery fast, safe, and repeatable.

Design and operate secure networking and access (ALB, OIDC/OAuth2, JWT/M2M, Okta, firewalling).

Drive reliability, scalability, and resilience - including disaster recovery and multi-region readiness.

Partner closely with R&D, Product, QA, and Support to take initiatives from design to production.

Improve developer experience and velocity, including through AI-assisted and agentic engineering workflows.

Mentor and raise the engineering bar through technical leadership, design reviews, and documentation.

As a Senior DevOps Engineer, you will join our data & engineering team and design and manage scalable, cloud-based infrastructure focused on big data and machine learning. You will ensure high-scale production environments are reliable, secure, and efficient, supporting seamless ML/AI deployments.

Location: Ramat Gan, Israel (hybrid model)

Reporting to: DevOps Team Lead

What will you do?
Design, build, and maintain scalable and reliable infrastructure for our big data applications.
Automate the deployment and scaling of our applications using Kubernetes and related technologies.
Set up, operate, and maintain Kubernetes-based environments, including GKE clusters and Helm-based deployments.
Support deployment workflows for PyTorch and TensorFlow-based ML/AI workloads.
Support and optimize GPU cluster infrastructure for machine learning workloads.
Build and maintain CI/CD pipelines using tools such as GitHub Actions.
Set up and maintain deployment environments for ML services and infrastructure components.
Work with MLOps platforms, including ClearML, to support experiment tracking, orchestration, and production workflows.
Manage cloud infrastructure on GCP with attention to reliability, scalability, cost awareness, and security.
Build and maintain cloud networking and security configurations.
Implement observability and monitoring using tools such as Grafana, Loki, and Prometheus.
Collaborate with DevOps, ML, data, and engineering teams to improve platform reliability and developer experience.

We are seeking a Senior DevOps Engineer with strong expertise in AWS (required) to manage cloud infrastructure and CI/CD pipelines. The role involves using GitHub for source code management, automating infrastructure with IaC tools, modifying Dockerfiles and build processes to address AWS Inspector findings, and monitoring/resolving issues from AWS Security Hub. Experience with GCP and Azure is a plus but not mandatory.

Key Responsibilities

Cloud Infrastructure: Design, deploy, and manage scalable infrastructure primarily on AWS (EC2, S3, Lambda, EKS, CloudFormation, etc.) using Terraform or Ansible. Exposure to GCP or Azure is advantageous.

CI/CD & GitHub: Build and maintain CI/CD pipelines with GitHub Actions, AWS CodePipeline, or similar tools; manage GitHub repositories with secure branching strategies.

Docker & Security: Update Dockerfiles and build processes to remediate vulnerabilities and compliance issues flagged by AWS Inspector.

Security Monitoring: Monitor and resolve security findings from AWS Security Hub, implementing fixes for misconfigurations, vulnerabilities, and compliance issues.

Monitoring: Set up and maintain monitoring using CloudWatch, Prometheus, or Grafana.

Collaboration: Work closely with development and IT teams in an Agile environment, applying DevSecOps practices (IAM, RBAC, encryption, etc.).

Were looking for a Senior SRE to join our Infrastructure team in Tel Aviv. If you love digging deep into distributed systems, optimizing production environments, and building the automation that keeps everything running smoothly at scale, wed love to talk.

Responsibilities:
Own the reliability, availability, and performance of our production environment.

Lead high quality effort and long term solutions that will improve stability and resiliency of our production environments.

Work closely with dev teams to review architecture, influence system design, and ensure services are built to be observable and scalable.

Handle capacity planning, system tuning, and infrastructure cost/performance optimization.

Maintain and improve our GitOps-driven deployment pipelines.

We are looking for a Delivery Manager to join our growing Delivery team, taking responsibility for delivering our product from installation through to operational systems in secure environments. This is a highly technical role with managerial responsibilities, where you will be actively involved in hands-on product installations, from the server to software, and lead the entire delivery process. This includes preparing supporting documentation, coordinating with the client to ensure site readiness, and leading pre-installation planning. The role also requires working with server rooms, virtual environments, and practical experience in configuring and troubleshooting network and communication systems.

The role includes international exposure and project management across global markets (e.g., Singapore), with approximately 40% travel expected.



What Youll Do

Lead and manage the product delivery process - installations, configurations, testing, and ongoing maintenance.
Perform hands-on installations of the product, from the server to software systems.
Oversee installations in the field and provide technical support as needed.
Prepare and deliver systems according to customer-specific documentation sets and checklists.
Collaborate with R&D to ensure smooth integration and product delivery.
Contribute to defining processes and maintaining system stability in secure environments.
Monitor the progress of projects and ensure timely delivery.
Manage post-delivery support activities, including troubleshooting and issue resolution after the system is operational.
Ensure ongoing customer satisfaction by providing continuous support and serving as a point of contact post-implementation.
Coordinate delivery projects across international markets, requiring awareness of cross-cultural collaboration and global work practices.
Utilize project management tools (e.g.,ClickUp JIRA, Trello, Asana) to track delivery status and maintain clear communication with all stakeholders.
Maintain organized documentation of system versions, configurations, and part numbers (P/Ns) for all customer deliveries, ensuring accurate traceability and release records.

We're looking for a Production Operations Engineer to join our fast-growing company at a breakthrough stage, as we build our dream team with the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high-quality, innovative solutions with the latest technologies - and we never forget to enjoy the ride along the way!

This is a role for someone who owns production stability end to end and knows that the best fixes often happen through other people. You won't be the one writing every manifest or resolving every incident yourself - you'll be the one who sees what production needs, sets the direction, and makes sure R&D teams follow through.


What You'll Be Doing:
Owning production stability: Act as the go-to person for the health of our production environments, proactively identifying risks before they become incidents.
Owning the incident process: Make sure incidents are properly tracked, follow-ups are driven to completion, and R&D teams write and own their postmortems - turning lessons into lasting improvements rather than letting them slip.
Driving change across R&D: Partner with engineering teams to define the reliability and operational improvements production needs, and make sure they get prioritized and implemented.
Raising the operational bar: Champion production-readiness standards, define SLOs and error budgets, and build a culture where teams own the reliability of what they ship.
Connecting the dots: Communicate clearly with stakeholders across R&D and leadership, translating between technical detail and business impact.