לוח משרות דרושים איש DevOps משרה מלאה

abra R&D is looking for a DevOps Engineer with Azure Expertise We are looking for a skilled and motivated DevOps Engineer, with approximately 3 years of experience working with Microsoft Azure, to join our dynamic team. Responsibilities:
* Manage, configure, and maintain Azure cloud infrastructure.
* Automate deployment processes using Infrastructure as Code (IaC) tools such as Terraform, ARM templates, or Azure DevOps pipelines.
* Collaborate with development and operations teams to optimize application deployments and scaling in Azure.
* Implement monitoring, logging, and alerting solutions to ensure high availability and performance.
* Troubleshoot and resolve issues within cloud environments.

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.

As a Staff DevOps Engineer, you will own production infrastructure across our cloud environments and work closely with platform, dev-infra and automation tests teams to drive operational excellence. You need to be ready to lead cross-team initiatives, proactively identify areas for optimization, and define scope both for yourself and the team.

You will be responsible for:

Keeping production stable and working, having a dedicated team as a first line of support
Improvement of existing CI/CD processes based on the feedback from product and infra teams
Improving the organization's FinOps posture

Required DevOps Engineer
As a key member of our engineering team, youll work at the intersection of development, operations, and reliability. Youll automate cloud infrastructure, ensure system performance, and maintain secure, scalable deployments in a regulated fintech environment.
Responsibilities:
Manage and enhance cloud infrastructure (AWS, GCP, Azure, or similar).
Develop, maintain, and automate CI/CD pipelines to streamline application delivery.
Implement Infrastructure as Code (e.g., Terraform, Ansible, CloudFormation) for provisioning and managing environments.
Set up and maintain monitoring, observability, and alerting systems using tools like Prometheus, Grafana, Splunk, New Relic, ELK, etc.
Define, track, and act upon SRE metrics (SLIs, SLOs, error budgets) to balance reliability and development velocity.
Participate in incident response, including root cause analysis and remediation.
Automate repetitive tasks to reduce toil and increase system resiliency and uptime.
Collaborate with developers and security teams to embed security and compliance best practices (e.g., PCI DSS, DevSecOps).
Support on-call rotation and continuously improve operational 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.

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 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 you’re a get-things-done, hands-on creative thinker and doer, this one’s for you.

We are looking for a motivated student to join our Software team. In this role, you will support the development process by maintaining our CI/CD pipelines, executing, and maintaining integration tests on version builds and ensuring smooth delivery of software. This is a hands-on role where you will gain practical experience with modern DevOps practices, automation, and integration environments.

Requirements
Responsibilities

DevOps

Maintain and improve CI/CD pipelines to ensure reliable and fast delivery.
Support and maintain Jenkins build machines, including job configurations and automation.
Write scripts (Python/Bash) to automate workflows and improve efficiency.
Ensure continuous monitoring and improvement of build processes.
Integration

Run and maintain integration test suites on version builds.
Investigate and troubleshoot build or test failures.
Collaborate with developers to ensure smooth integration of new features and bug fixes.
Tools & Platforms

Work with Atlassian products: Jira (task management), Bitbucket (source control), Confluence (documentation).
Contribute to documentation and knowledge sharing for integration and DevOps processes.

looking for a Senior DevOps Engineer with hands-on experience in cloud infrastructure, particularly in Microsoft Azure and AWS, to work closely with our clients and provide technical leadership in building, automating, and managing cloud-native solutions.

This role requires a mix of deep technical expertise, consulting maturity, leadership skills, and the ability to communicate complex concepts effectively to a variety of stakeholders.

Responsibilities:

Planning, design, build and optimizing Azure-based cloud infrastructure solutions
Developing and managing efficient CI/CD processes to enable continuous integration and delivery
Operating and maintaining Kubernetes clusters, ensuring their reliability, scalability, and performance
Collaborating with cross-functional teams to define and implement scalable, reliable, and secure Azure cloud architecture
Driving innovations in Azure cloud infrastructure space and staying up to date with the latest Azure technologies and industry trends
Developing automation scripts and frameworks to improve operational processes and procedures within the Azure ecosystem

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

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.

We are international Multi-Cloud experts, utilizing the power of the cloud for smart digital transformation. With 5 sites over 4 continents around the globe, +450 experts, +1000 customers, and +30 years of proven experience, our mission is to deliver the best Multi-Cloud service to our customers, accelerate their business and help them grow. As tech-savvies, To help our customers stay on top of their game, our teams are constantly developing new strategies and tools that will help them improve cloud performance, spending, visibility, control, and automation. Our cloud experts will make any digital transformation a quick, smart, and easy process.

We are international Multi-Cloud experts, utilizing the power of the cloud for smart digital transformation. With 5 sites over 4 continents around the globe, +450 experts, +1000 customers, and +30 years of proven experience, our mission is to deliver the best Multi-Cloud service to our customers, accelerate their business and help them grow. As tech-savvies, To help our customers stay on top of their game, our teams are constantly developing new strategies and tools that will help them improve cloud performance, spending, visibility, control, and automation. Our cloud experts will make any digital transformation a quick, smart, and easy process.

We are international Multi-Cloud experts, utilizing the power of the cloud for smart digital transformation. With 5 sites over 4 continents around the globe, +450 experts, +1000 customers, and +30 years of proven experience, our mission is to deliver the best Multi-Cloud service to our customers, accelerate their business and help them grow. As tech-savvies, To help our customers stay on top of their game, our teams are constantly developing new strategies and tools that will help them improve cloud performance, spending, visibility, control, and automation. Our cloud experts will make any digital transformation a quick, smart, and easy process

What You'll Do:
Design the infrastructure for hybrid-cloud deployments.
Build reliable systems at scale.
Own, improve and pitch about production, stability and performance.
Maintain the application layer of our public cloud and private cloud.
Develop and integrate infrastructure tools in support of our production system.
Automate the Provisioning and configuration.
Work closely with product, QA, developers, and IT/operations departments to streamline their working methods.

We are international Multi-Cloud experts, utilizing the power of the cloud for smart digital transformation. With 5 sites over 4 continents around the globe, +450 experts, +1000 customers, and +30 years of proven experience, our mission is to deliver the best Multi-Cloud service to our customers, accelerate their business and help them grow. As tech-savvies, To help our customers stay on top of their game, our teams are constantly developing new strategies and tools that will help them improve cloud performance, spending, visibility, control, and automation. Our cloud experts will make any digital transformation a quick, smart, and easy process.

We are international Multi-Cloud experts, utilizing the power of the cloud for smart digital transformation. With 5 sites over 4 continents around the globe, +450 experts, +1000 customers, and +30 years of proven experience, our mission is to deliver the best Multi-Cloud service to our customers, accelerate their business and help them grow. As tech-savvies, To help our customers stay on top of their game, our teams are constantly developing new strategies and tools that will help them improve cloud performance, spending, visibility, control, and automation. Our cloud experts will make any digital transformation a quick, smart, and easy process.

** Hybrid work (3 days from home).