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We are seeking a hands-on DevOps Engineer with strong experience in CI/CD and build pipeline optimization. You will focus on improving build performance, automating delivery workflows, and supporting reliable release processes using Azure DevOps (On-Prem) and Jenkins.
The role also includes IT-related tasks such as server installations, network troubleshooting, and OS support. The ideal candidate is highly technical, proactive, and works effectively with Development, QA, and IT teams to solve complex challenges.
Responsibilities
What you will be doing:
Design, build, and maintain CI/CD pipelines using Azure DevOps (On-Prem) and Jenkins.
Develop and maintain automation workflows using Ansible.
Own and lead build, release, and deployment processes for development teams.
Monitor system performance and ensure high availability and reliability of DevOps infrastructure.
Manage task tracking and ALM processes to support Agile/Scrum teams, including handling requests for task management changes.
Perform IT-related tasks, including physical server installations, network troubleshooting, and operating system support.

we are looking for a DevOps Engineer.
Responsibilities:
Collaborate closely with development teams to streamline processes.
Design, build and operate Kubernetes infrastructure and orchestration in Production.
Design, implement, and maintain automation workflows, scripts, and CI/CD pipelines.
Ensure infrastructure and application reliability, observability, performance, and security.

We are looking for an experienced Senior DevOps Engineer to join our DevOps team who is passionate about software design, development and deployment. The job involves writing production-grade modern DevOps solutions that will be shipped to the cloud and on-prem solutions.
The Responsibilities
Build the best solutions for our production platform.
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes
Build and maintain tools for automation, deployment, monitoring, and operations
Troubleshoot issues in our development, production, and test environments
Excellent communication and people skills
Work well in a team!

We are on the lookout for an experienced engineer to join our DevOps team who is passionate about software design, development, and deployment.
The role focuses on designing, building, and maintaining production-grade cloud solutions, ensuring scalability, reliability, and security. You will manage CI/CD pipelines, automate deployments, monitor system performance, and collaborate across development teams to deliver resilient infrastructure in a rapidly evolving environment.
The Responsibilities
Collaborate closely with development teams to define and implement infrastructure requirements that support scalable, secure, and efficient operations.
Develop and maintain internal tools to automate workflows, streamline development processes, and enhance monitoring and operational efficiency.
Diagnose and resolve issues across development, testing, and production environments to ensure system stability and optimal performance.

XM Cyber is the leader in hybrid-cloud security posture management, using the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. We're looking for a Senior Devops Engineer for our R&D team, who is passionate about application architecture, system design, and end to end implementation. Key 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 you’re a get-things-done, hands-on creative thinker and doer, this one’s for you.

We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities:
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

We are looking for a hands-on technical leader to drive the design, implementation, and evolution of our cloud infrastructure. Youll take ownership of building scalable, reliable, and secure systems that empower engineering teams to deliver with speed and confidence. Youll operate in a fast-paced environment, balancing innovation and pragmatism, and fostering a culture of continuous improvement and operational excellence.
Responsibilities:
Lead end-to-end technical initiatives to design and manage cloud infrastructure across AWS and other multi-cloud environments.
Build and evolve automation frameworks and internal tools using Python, Bash, and modern infrastructure-as-code technologies (Terraform or equivalents).
Architect, implement, and maintain CI/CD pipelines that streamline delivery and improve developer productivity.
Champion observability, reliability, and performance - establishing best practices around monitoring, alerting, and system health visibility.
Collaborate closely with cross-functional engineering teams to enable scalable deployments, efficient development workflows, and resilient production systems.
Drive technical tradeoff decisions that balance speed, cost, and reliability in a dynamic, growth-oriented environment.
Act as a mentor and advocate for DevOps culture, enabling teams to take ownership of infrastructure and operations.

we are looking for a DevOps Ninja! If you have a strong passion for building next-generation DevOps platforms in SaaS at scale, consider joining JFrog as a Senior DevOps engineer. You will lead large-scale, cross-team efforts and work closely with R&D architects to provide the best DevOps angles for SaaS solutions.
As a Senior DevOps Engineer , you will
Design end-to-end DevOps solutions to fit JFrogs exceptional SaaS needs, scale, and diversity.
Integrate production-grade services on AWS, GCP, and Azure
Evaluate new cloud-native technologies and vendor products to improve our SaaS offerings continuously
Investigate and analyze JFrogs top customers' use cases to help keep the bar high.
Collaborate with teams in the organization to ensure we always meet our customers' needs.

We are seeking a highly skilled and experienced Senior DevOps Engineer to join our team in a leadership capacity. You'll work with and support the engineering teams to build and maintain the development and deployment infrastructure. You'll be part of building highly automated and scalable systems, working in a highly motivated and skilled team.

As a Senior DevOps Engineer supporting our Cortex Research Group, you will lead all DevOps and infrastructure initiatives that empower our researchers to move quickly, securely, and reliably. You will be responsible for designing, building, and maintaining the groups cloud environments, ensuring scalability, stability, and performance across a wide range of experimental and production workloads. Youll serve as the primary point of contact between the Research Group and other critical stakeholders-including Security, Networking, and Compliance teams-ensuring that research projects align with organizational standards while still enabling rapid innovation.
Key Responsibilities
Own and evolve the Research Groups cloud infrastructure and CI/CD pipelines to enable reproducible, automated, and scalable experimentation.
Define and implement standards for infrastructure-as-code, observability, monitoring, and resource optimization tailored to research use cases.
Proactively collaborate with security and compliance teams to enforce best practices for data governance, access controls, and regulatory requirements.
Partner with networking and platform engineers to integrate research workloads into the broader company ecosystem, ensuring seamless operation.
Serve as the primary technical liaison between the Research Group and stakeholders like Security, Networking, and Platform teams.
Mentor engineers and researchers on DevOps best practices, helping to instill a culture of operational excellence and applied learning.

we are seeking a seasoned Senior CI/CD DevOps Engineer to join our CloudOps team. In this pivotal role, you will be the architect of our delivery ecosystems, designing and scaling high-performance CI/CD engines and Kubernetes-based infrastructure across multi-cloud environments.
You will bridge the gap between code and production, leveraging GitOps principles and advanced automation to accelerate our SaaS and On-Prem release cycles. If you thrive on building "Infrastructure as Code," mastering complex Jenkins pipelines, and securing cloud-native systems at scale, this is your next challenge.
Key Responsibilities:
Architect CI/CD Ecosystems: Design, implement, and maintain enterprise-grade CI/CD pipelines using Jenkins and Shared Libraries (Groovy) to standardize delivery across R&D.
Infrastructure as Code (IaC): Drive the automation of global cloud footprints (AWS) using Terraform, ensuring modularity, reusability, and state management.
Kubernetes Orchestration: Manage and optimize large-scale EKS clusters, focusing on high availability, auto-scaling, and cost-optimization.
GitOps Advocacy: Implement and champion GitOps workflows to ensure the "source of truth" always resides in Git, automating deployments and drift detection.
Advanced Scripting: Develop sophisticated tooling and automation logic using Python and Bash to eliminate manual toil.
Hybrid Cloud Delivery: Support complex release automation for both high-velocity SaaS environments and secure On-Prem deployments.
System Reliability: Troubleshoot complex production bottlenecks, optimize container performance, and mentor junior engineers on best practices.

Were seeking a Data Team Lead to own and evolve the data layer that powers SaaS production environments. Youll design, implement, and maintain mission-critical systems while leading the team responsible for the reliability, performance, and scalability of our data layer.
As the Data Team Lead , you will
Lead a distributed team operating across Israel and the United States.
Own the data layer across SaaS production environments - overseeing its stability, scalability, and continuous evolution.
Set the vision and roadmap for data layer across SaaS production environments.
Drive solutions that improve resilience and efficiency across the data layer, leveraging modern infrastructure and platform practices across the stack.
Collaborate globally with DevOps, R&D, Support, and SRE teams to streamline data operations, improve queries and workflows, and ensure efficient use of our data platforms.
Measure and improve uptime, performance, and operational excellence.
Develop talent, knowledge-sharing, and best practices within the team.
Stay ahead of technology trends to keep the platform modern and secure.
Define guardrails, automation, and infrastructure-as-code for database operations.
Analyze usage patterns and monitor health and performance, driving an ongoing optimization roadmap.

It starts with you - an engineer driven to build resilient, automated infrastructure that enables teams to move fast with confidence. You care about operational excellence, developer experience, and reliability at scale. Youll architect and operate the compute and networking infrastructure that powers our AI platform - from CI/CD pipelines to Kubernetes clusters to observability systems - across cloud and on-prem environments.
If you want to build infrastructure that powers mission-critical AI systems at national scale, join our companys mission - this role is for you.
The Responsibilities
Architect and operate Kubernetes-based infrastructure across AWS and on-prem environments, ensuring high availability, security, and performance.
Design and maintain CI/CD pipelines for application and service deployments with automated testing, security scanning, and rollback capabilities.
Drive infrastructure-as-code practices for compute and networking - building reproducible, auditable, and version-controlled infrastructure.
Own reliability and incident response - establish SLOs, build alerting systems, lead incident resolution, and drive post-incident improvements.
Enable AI-native operations - support agentic deployment pipelines, self-healing infrastructure, and secure sandboxing for model experimentation.
Build and maintain observability systems - metrics, logging, tracing, and dashboards that provide visibility into system health.
Optimize infrastructure cost and performance - right-size resources, implement auto-scaling, and identify efficiency opportunities.
Collaborate with Engineering, Data Platform, Data Engineering, and Security teams to align infrastructure with platform needs.
Shape infrastructure characteristics that support data freshness, correctness, and low-latency pathways for AI training/inference, retrieval, and agentic workflows.
Contribute paved-road tooling - reusable CI/CD patterns for services, IaC modules for compute and networking, and runbooks - that streamline delivery across teams.
Collaborate with Engineering, Data Platform, Data Engineering, Security, Product, AI/ML, Data Science, and Analytics to anticipate and meet cross-functional needs.

We are looking for a DataOps Engineer to own the infrastructure that powers our large-scale data processing platform. This is a platform-facing role sitting at the intersection of data engineering and infrastructure - you'll be the person who makes Spark run reliably and efficiently on Kubernetes, so that data engineers can build with confidence.
You understand data workloads deeply enough to make smart infrastructure decisions, and you have the production instincts to keep complex systems healthy at scale. If you get excited about shaving minutes off Spark job runtimes, right-sizing cluster autoscalers, and building the internal tooling that makes a data platform feel effortless, this role is for you.
RESPONSIBILITIES:
Design, deploy, and operate the Kubernetes-based infrastructure that runs Apache Spark and large-scale data processing workloads
Own the reliability, performance, and cost-efficiency of the data platform - including SLAs, autoscaling, resource quotas, and workload isolation
Manage Spark-on-K8s configurations, Airflow infrastructure, and Databricks integration; tune for throughput, latency, and cost
Build and maintain CI/CD pipelines and infrastructure-as-code for data platform components
Develop observability tooling - metrics, logging, alerting, and data quality dashboards - to proactively surface issues across the pipeline stack
Collaborate closely with Data Engineers to understand workload patterns and translate them into infrastructure decisions
Manage cloud storage (GCS/S3), Delta Lake, and Unity Catalog infrastructure
Drive platform improvements end-to-end: from design through deployment and ongoing ownership.

our company has been defining computer graphics, pc gaming, and accelerated computing for more than 25 years. with an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, we are looking for a strong technical dev platform engineer to join us in shaping the future of software development. platform engineers are builders who turn strategy into daily tooling. their expertise is practical and broad. they are hands on, producing reliable infrastructure that teams depend on every day.
as a senior dev platform engineer in the ai-native development team, you will build the infrastructure that enables ai-assisted software development at scale. this includes process workflow automation, multi-agent collaboration platforms, ai-powered review pipelines, and integrations with enterprise tools. you will work closely with development teams to understand friction points and translate them into robust, Developer -friendly tooling.
what you'll be doing:
build and extend process workflow automation tools - managing the pipeline from specification to merge, enforcing review gates per risk level.
design and implement multi-agent collaboration infrastructure - enabling multiple ai agents and humans to work on the same project with isolation, shared state, and handoff protocols.
build ai-powered review orchestration - deploying parallel expert reviewers with domain-specific configurations.
integrate ai development workflows with enterprise tools (issue trackers, source control, ci/cd pipelines) - auto-status updates, ai agent assignment, work breakdown.
develop markdown-based documentation workflows with review plugins.
rapidly iterate on tooling based on direct feedback from development teams.