דרושים » מחשבים ורשתות » DevOps Engineer

We are looking for a talented and motivated DevOps Engineer to join Cloud Engineering team. Youll play a key role in developing, maintaining, and scaling our SaaS product across AWS, Azure, and GCP. This includes managing our deployment packages (Terraform, CloudFormation, Azure Bicep), ensuring seamless integrations with customer environments, and enabling secure, reliable data scanning at scale.
As part of our DevOps team, youll not only drive automation and infrastructure management, but also participate in customer-facing installation meetingshelping customers deploy and configure platform successfully.
Responsibilities:
Design, develop, and maintain cloud infrastructure on AWS, Azure, and GCP.
Manage Infrastructure as Code using Terraform, CloudFormation, and Azure Bicep.
Build, scale, and maintain Kubernetes clusters and containerized applications.
Implement automation for deployment, monitoring, and incident response.
Write and maintain Python and Bash scripts for automation, integrations, and tooling.
Troubleshoot networking, connectivity, and security issues (TCP/IP, UDP, VPNs).
Collaborate with engineering and product teams to optimize deployments.
Support customer onboarding by assisting with setup and deployment meetings.
Continuously improve CI/CD pipelines and operational processes.

We are looking for a Site Reliability Engineer (SRE) to join our Engineering team. Someone who has a passion for observability, monitoring, automation, and high-availability systems, and who has a desire to solve complex technological challenges with a proactive approach to continuous improvement.
We use an interesting and mixed technology stack: Kubernetes, Terraform, CI/CD pipelines, Datadog, Prometheus, and cloud-native architectures.
In this position, you will use your expertise in building and scaling SRE operations, and will design, implement, and operate a world-class reliability strategy.
About Us
we are a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.
Key Responsibilities
Develop and maintain our monitoring, alerting, and logging systems, ensuring high visibility into production environments.
Implement automation to improve system reliability, scalability, and efficiency.
Troubleshoot and resolve production incidents, leading root cause analyses and implementing permanent fixes.
Collaborate with software engineers and DevOps teams to enhance application performance and resilience.
Continuously improve operational processes, focusing on reducing toil and improving reliability.

What You'll Do:
Design, build, and support tooling, automation, and infrastructure to maximize the reliability, scalability, and performance of our Cognition.
Proactively identify, mitigate, and resolve issues, leveraging AI-driven insights and automation where possible.
Develop robust monitoring, alerting, and incident response strategies; ensure actionable observability across all critical systems.
Drive best practices in CI/CD, Infrastructure-as-Code, environment provisioning, and disaster recovery.
Collaborate closely with engineering teams to build, deploy, and maintain highly available services in production.
Take responsibility for uptime, reliability, and the operational excellence of our Cognition.
Help define and measure SLOs/SLAs to ensure world-class service delivery.

were looking for a DevOps engineer to take the lead on one of the most critical technical challenges in our business: how we deploy software at scale.
Today, deploying our core system into each store is a complex, multi-stage process. Tomorrow, it needs to be seamless, automated, and capable of onboarding dozens of stores per weekwithout sacrificing versatility and quality
This role isnt just about CI/CD or scripting. Its about refining the automation infrastructure that enables repeatable, self-service deployments across hundreds of live, mission-critical environments. Youll sit at the heart of our Ops Technology team, working at the intersection of system engineering and in-store execution, and serving as the technical backbone for deployment scale.
You'll help shape and evolve our DevOps toolsetworking hands-on with cutting-edge technologies to streamline deployments, boost reliability, and scale our platform with speed and confidence. For the right person, this role is a stepping stone toward technical leadership in one of most strategic teams.
A day in the life:
Design and build the software deployment framework that powers in-store systems at scale
Lead remote deployments using Octopus Deploy, driving repeatability and automation
Set up and manage Kubernetes clusters for scalable microservices in diverse environments
Deploy and monitor services with a focus on resilience, observability, and recovery
Troubleshoot complex issues across CI/CD, environments, services, and infrastructure
Collaborate with System Engineering and SRE peers to ensure smooth end-to-end deployment flows
Continuously evolve our CI/CD pipelines, deployment logic, and infrastructure-as-code practices
Build tooling, templates, and documentation to enable fast, low-touch deployments by others
Serve as a technical leader and force multiplier within the Ops Tech team

We are looking for a Site Reliability Engineer to join our DevOps team.
You will ensure the reliability, performance, and scalability of our back-office solutions, which serve as the foundation for the entire purchasing process. This role will lead the development of SRE capabilities, meeting SLI/SLO/SLA targets, and establishing effective monitoring systems.
You will enhance our Software Development Lifecycle by integrating reliability and scalability, working with cross-functional teams, and supporting production environments.
Additionally, you will implement incident management processes and conduct post-mortem analyses to drive continuous improvement. If you have a strong engineering and automation background and are passionate about the E-commerce field, then we would love to hear from you.
Roles and Responsibilities:
Develop and implement SRE capabilities to enhance the reliability, availability, and performance of Admin solutions.
Design and maintain proactive monitoring and alerting systems for deep visibility into critical business flows, beyond simple statuses, to identify functional issues.
Drive improvements in the Software Development Lifecycle (SDLC) for reliability and scalability from design to deployment.
Collaborate with development and operations teams to troubleshoot production incidents affecting the purchase flow through root cause analysis.
Lead SRE initiatives to boost system resilience and operational efficiency.
Implement best practices for incident management and conduct blameless post-mortems, contributing to capacity planning and performance testing to ensure scalability.

We are looking for a DevOps Engineer to join our DevOps R&D team.

In this position, you will be responsible for integrating developers and operations teams to improve collaboration and productivity by automating infrastructure, automating workflows, and continuously measuring application performance.

A day in the life and how youll make an impact:
Establish, maintain, and evolve concepts in continuous integration and deployment (CI/CD) pipelines for existing and new services.
Collaborate with Engineering and Operations teams to improve automation of workflows, infrastructure, code testing, and deployment of on-premise and cloud services.
Remain up-to-date on industry trends, share knowledge among teams, and abide by industry best practices for configuration management and automation.
Implement effective monitoring and increase the sophistication of our alerting and escalation mechanisms
Identify and resolve performance and scalability issues in products and infrastructure.

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
The DevOps Engineer position is an operational engineering role and is an integrated part of our development team. You will be responsible for improving the efficiency of our processes, software, and infrastructure, and will be assisting RnD Team with product development. If you are DevOps Engineer that is passionate about automating and scaling everything, this job is for you.
Responsibilities
Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
Manage and Maintain CI Infrastructure (GitLab CI and Jenkins).
Manage, Maintain and Improve our Release and Development Environments.
Support critical production infrastructure deployed in Multiple Clouds (AWS, Azure, and GCP).
Develop and Support RnD toolchain and implement best practices for code deployment, testing, and maintenance.
Automate On-Premises Labs Infrastructure by adopting IaC practices.
Lead and Develop Monitoring, Telemetry, Alerting, and Logging Production services.

We are looking for a DevOps DevOps Engineer to take ownership of our Cloud Infrastructure and Platform Engineering strategy, enabling high-scale, cutting-edge GenAI products running across 40+ Kubernetes clusters on GCP and AWS.
This role is a hands-on engineering , requiring deep expertise in cloud-native technologies, Kubernetes at scale, and modern DevOps principles. You will work closely with engineering teams to design and implement scalable infrastructure solutions, optimize developer workflows, and ensure reliability and efficiency across our platform.
Role and Responsibilities:
Cloud & Kubernetes Expertise: Design and implement highly scalable multi-cluster Kubernetes environments across GCP & AWS.
Developer Experience & Enablement: Lead the development of self-service tools and automation that improve efficiency for R&D teams.
Incident & Reliability Engineering: Work with engineering teams to optimize cost, performance, and reliability of production infrastructure through monitoring, capacity planning, and scaling strategies.
Security & Governance: Contribute to best practices for RBAC, IAM, cloud security, and compliance while ensuring infrastructure reliability.
Automation & Infrastructure as Code: Drive adoption of GitOps workflows and Infrastructure as Code (Terraform, Helm, Crossplane) to enhance automation and consistency.
Mentorship & Team Growth: Provide technical mentorship within the platform engineering team and contribute to knowledge-sharing across R&D.
Cross-Team Collaboration: Work closely with engineering teams to align cloud infrastructure goals with business needs and reliability requirements.

As part of the DevOps org, you'll play a key role in shaping the production infrastructure that supports our engineering platformscontainerized, microservice-based, and cloud-native. Youll work side-by-side with R&D to evolve our CI/CD pipelines, improve system reliability, and scale production infrastructure that supports our global growth.

What youll do:

Level up our CI/CD architecture using Argo Workflows, GitHub Actions, and Kubernetes-native deployment strategies
Enhance our build & release pipelines for scalable, multi-arch Docker images, with quality gates and dynamic testing
Lead efforts to evolve our test automation framework across microservices (REST APIs, async flows, cloud services)
Collaborate with R&D on implementing progressive delivery, canary deployments, and real-time alerting with DataDog and Open Telemetry.
Build and scale production that works across multi-region cloud environments (AWS/GCP), using Terraform and Helm
Drive a DevEx-first cultureintegrate quality tooling (e.g., SonarQube, Trivy, Checkov) into developer workflows