דרושים » מחשבים ורשתות » Senior DevOps Engineer

We are looking for a skilled and motivated DevOps engineer to join our DevOps team.
As part of our team, you will be a part of a unique and efficient group leading our companys DatAdvantage Cloud, as it scales to host and serve thousands of new customers on a pure SaaS infrastructure. You will join an innovative, high-performance team and work with cutting edge technologies in a dynamic and agile environment. In this role, you will design, build and manage our cloud-native infrastructure, and play a key role in architecture planning.
You will be part of a cross-continent DevOps Group, which is leading our companys DAC (Data Advantage Cloud), through its way to protect the data of thousands of customers on a pure SaaS infrastructure.
You will join a high-performance team and work with cutting-edge technologies in a dynamic and agile environment.
In this role, you will design, build, and manage our cloud-native infrastructure, CI/CD, along with architecture planning and innovation.
Responsibilities
Take an integral part in shaping the future of our enterprise-scale environment architecture.
Provide support and solutions to our growing R&D Groups.
Design, build and operate cloud infrastructure to enable reliable, rapid, effective and flexible CI/CD process across all microservices.
Develop, and transition the current processes into platform engineering methodologies based on a guardrail and self-service principles.
Develop and maintain observability for all cloud engineering aspects.
Establish standards, practices and innovative solutions that will be used across all microservices and help the entire R&D move fast.
Work closely with Engineering teams, taking full responsibility and ownership from conception to post-deployment in a collaborative, fast-paced environment.

We are looking for a Senior DevOps Engineer with deep expertise in cloud-native platforms to join our global DevOps group and help shape the future of our next-generation SaaS platform
Responsibilities
Collaborate across global R&D teams to manage and evolve a complex, Azure-based production environment powering a cutting-edge data security SaaS platform. 
Build and maintain scalable, resilient, and highly available cloud infrastructure using DevOps practices. 
Design and implement CI/CD pipelines, GitOps workflows, and infrastructure automation using tools like Terraform, Pulumi, Argo CD, and Azure DevOps. 
Work closely with R&D teams to design, implement, and support new product features across the platform. 
Evaluate and adopt emerging cloud-native technologies, open-source tools, and observability platforms to enhance system performance and developer productivity. 
Respond to incidents and internal requests, performing triage, root cause analysis, and implementing solutions to reduce recurrence and resolution time. 
Participate in a 24/7 On-Call rotation to proactively monitor and resolve production issues, ensuring platform stability. 

We are looking for a DevOps & infrastructure Engineer to join our Labs team. A successful candidate will join a team of highly skilled professionals and engage with the Engineering groups activities and goals.
Responsibilities
Build, maintain, and operate on‑prem and cloud infrastructures serving internal labs and R&D related environments.
Deploy and support simulation environments that mirror customer environments using technologies such as VMware, EMC, NetApp, Tanzu Kubernetes Grid (TKG), and VRA
Work with Kubernetes (K8s) to support containerized workloads and internal engineering use cases.
Manage cloud infrastructures across AWS, GCP, and Azure for various development needs, including running POCs, simulating environments, and overseeing license and budget management.
Develop automation tools and scripts using PowerShell or other scripting languages to streamline internal processes and improve operational efficiency.
Enhance Developer Experience by building internal tools, improving development workflows, and exposing capabilities that accelerate engineering productivity.
Collaborate closely with multiple stakeholders, including development teams, support, and product managers, to ensure infrastructure meets evolving business and technical requirements.

Required DevOps Engineer
As a DevOps Engineer, you will:
Own and manage the companys internal AI infrastructure, including GPU-based environments
Manage and maintain Kubernetes-based infrastructure, owning the platform end to end
Design, develop and maintain in-house infrastructure, automation tools and systems
Manage the DevOps tools including Bitbucket, Jenkins, Artifactory, Monitoring tools and databases
Implement and maintain infrastructure as code using Terraform and Ansible
Take part in solving DevOps challenges in order to support and improve R&D Services and Delivery time
Own end-to-end responsibility for DEV environments
Maintaining R&D systems and issue, build self-services tooling and improve developer experience
Test and integrate new technologies and tools (POC)
Be in charge of integration with the CI team and workflows.

In this role, you will be responsible for ensuring the availability, reliability, and scalability of our production environments, proactively monitoring systems in real time and troubleshooting complex technical challenges. Youll work with modern cloud-native technologies, help improve operational efficiency, and play a key role in maintaining and evolving our infrastructure.

This is an opportunity to work on a fascinating and challenging product, gain exposure to innovative and diverse technologies, and join a fast-growing company that is leading its field., we invest in our people and support both personal and professional growth.

Were looking for someone with strong technical skills, a positive mindset and a constant drive for excellence.

This is a full-time, hybrid role based in Herzliya, Israel.

Responsibilities
Implement and operate large-scale Kubernetes and cloud solutions
Build and maintain infrastructure across AWS / Azure / GCP
Monitor customer infrastructure and production environments
Roll out processes for new services and applications
Enforce and maintain cloud and product security standards
Troubleshoot and resolve technical issues in customer environments
Develop and maintain infrastructure automation tools and workflows
Implement automation processes and AI-driven tools to improve operational efficiency

Required DevOps Engineer CI/CD
As a DevOps Engineer CI/CD, you will:
Develop and provide AI self-services for R&D (mcp servers, agents)
Be in charge of the set-up, maintenance and ongoing development of CI/CD
Design and implement secure automation solutions for development, testing and production environments
Work in a Kubernetes environment and develop and deploy Helm charts
Work with logging and monitoring tools
Manage deployment and server configuration of company applications using Ansible
Test and integrate new technologies and tools (POC)
Be in charge of integration with the infrastructure team.

Were looking for an experienced and thoughtful Senior Frontend Engineer to join our team and lead the development of modern, high-quality user experiences using cutting-edge technologies - including AI-powered development tools.
Who We Are:
We believe great engineering happens when skilled people work together with trust, ownership, and a continuous drive to improve. We value clear thinking, strong opinions held lightly, and using AI as a force multiplier - not a crutch.
A Mature, Supportive Engineering Culture
Youll join a team that values psychological safety, honest feedback, and shared ownership. We invest in code quality, thoughtful design, and long-term maintainability, while still moving fast when it matters.
Modern Development with AI
We actively use AI tools to accelerate development, validate approaches, explore alternatives, and improve quality. As a senior engineer, youre expected to critically evaluate AI-generated output, understand tradeoffs, and guide others in using these tools responsibly.
A Strong Product Mindset
Our engineers partner closely with product and design, influencing solutions from early discovery through delivery. We expect you to challenge assumptions, clarify 'why,' and help ensure were solving the right problems - not just implementing requirements.
A Place to Lead and Grow
This role offers technical ownership, architectural influence, and mentorship opportunities. Whether deepening your expertise or expanding into broader system design and leadership, we support your growth.
What You'll Do:
Design, build, and maintain scalable, high-quality frontend features (primarily Angular).
Contribute to architecture and technical decision-making across frontend and full-stack concerns.
Use AI development tools while reviewing, challenging, and refining AI-generated solutions.
Lead and participate in code reviews, raising the bar for code quality.
Collaborate with Product Managers and Designers to influence product direction.
Mentor junior engineers and contribute to a strong engineering culture.
Take ownership of technical risks and long-term improvements.

We are looking for an experienced IT Manager with 10+ years of expertise, strong customer service orientation, and a broad understanding of IT domains. The ideal candidate will have deep knowledge of cloud services and automation.
Responsibilities
Lead and manage a team of 4 professionals.
Build, maintain, and operate on-prem and cloud infrastructure supporting internal labs and engineering/product needs.
Design and manage environments simulating customer setups using diverse technologies:
Thousands of VMware-based virtual machines (primarily Windows, some Linux).
Storage systems such as NetApp, EMC, and others.
VRA environments.
Tanzu Kubernetes Grid (TKG) infrastructure.
Additional technologies as required.
Co-manage cloud-based infrastructure (AWS, GCP, Azure) for development purposes, including POCs and environment simulations.
Monitor budgets and expenses.
Support development and product teams.
Manage licenses.
Administer M365 tenants for lab purposes.
Develop automation scripts using PowerShell or other scripting languages.
Collaborate with multiple internal teams - development, support, and product management - to address ongoing needs.

We are looking for a self-driven and experienced software engineer to join our R&D department. In this position, you will be part of a newly formed team responsible for designing and implementing a brand-new flow that classifies and processes sensitive data in files.
This is an opportunity to build a system from the ground up, working with cutting-edge technologies and handling large-scale data challenges. If you thrive in a fast-paced environment, are passionate about delivering high-quality solutions, and excel at taking initiative, wed love to hear from you.
Responsibilities
Design, implement, and test complex backend systems to ensure they meet the required specifications and performance standards.
Review and provide constructive feedback on your teammates' code to maintain high-quality code standards and promote best practices.

At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities
Design and Build ML Infrastructure: Develop and maintain scalable, production-ready infrastructure for both traditional ML (anomaly detection, user behavior analytics) and LLMs across enterprise environments.
Optimize Model Performance: Analyze and optimize LLM and ML performance using techniques like knowledge distillation, quantization, and efficient data structures to boost efficiency and lower resource costs.
Deploy and Integrate: Collaborate heavily with software and data engineers to integrate models into production pipelines, cloud-native environments, and on-premises workflows.
Drive MLOps & Tooling: Manage the complete model lifecycle (monitoring, retraining, deployment) and actively build custom tools from scratch to improve the team's ML workflows.
Elevate Engineering Standards: Perform rigorous code reviews, ensure robust Python production standards, and provide technical guidance to data scientists and junior engineers.
Cross-Functional Partnership: Partner with cybersecurity researchers and product teams to translate research insights and threat analysis features into highly performant production code.
Open-Source Engagement: Actively engage with the open-source community by contributing code and expertise to relevant ML/LLM projects.