לוח משרות דרושים, לחיפוש זה נמצאו 639 משרות

As a DevOps Engineer, you'll be a technical authority in everything cloud-native - leading feature development, making key architectural decisions, and collaborating with cross-functional teams to drive innovation.

Take an active role across all DevOps areas: our infrastructure and cloud environment, tools, services, and uptime.
Contribute to the product's architectural and infrastructure design; evaluate and implement new cloud technologies and open-source tools to improve delivery and availability of the product.
Plan and drive the growth and scale of data capacity across products.
Own the smooth, production-grade execution of delivered solutions.

We are looking for an experienced DevOps Engineer to join our team.
If you are passionate about building scalable DevOps infrastructures, automating deployment
processes, and working with modern cloud-native technologies, this role is for you
Responsibilities
Design, implement, and maintain DevOps processes based on industry best practices.
Build and maintain CI/CD pipelines using tools such as Jenkins and Azure DevOps.
Implement and manage Infrastructure as Code (IaC) solutions.
Develop automation scripts using Bash, Python, PowerShell, Groovy, or Batch.
Manage and support containerized environments using Docker and Kubernetes.
Work with Git-based workflows, including GitOps methodologies.
Support secure development processes (DevSecOps).
Collaborate closely with development teams and other cross-functional teams to improve the
software development lifecycle.

We are seeking a System & DevOps Engineer to join our DevOps and IT team.

Responsibilities:
Continuously improve our infrastructure to be more secure, scalable, and robust.
Apply new technologies for internal and external services.
Design, build, and maintain CI/CD pipelines and IaC for our infrastructure.
Control and develop the monitoring and observability solutions.
Manage and maintain the companys IT infrastructure, including both Ubuntu and Windows workstations, servers, and networking equipment.
Provide technical support to the team, ensuring minimal disruption to daily operations.

We're looking for a DevOps Engineer to power the reliability, security, and efficiency of the world's most impactful weather platform. You'll build self-service platforms that give developers and weather scientists true independence, weave AI into how we operate, and work side-by-side with R&D to push performance and scale further. You'll evolve our cloud infrastructure to match the pace of the business, hold the line on cost, and stay close to production through on-call. The people who thrive here bring a product mindset, take ownership without waiting to be asked, and leave the people and systems around them better than they found them.

As a DevOps Engineer you'll:
Evolve and maintain our cloud infrastructure, delivery and observability - and the self-service platforms above them - so they serve our business strategy and let scientists and developers work on their own as we grow at scale.
Develop and adopt tools, with AI at the center, that make development and operations processes measurably more efficient.
Partner with the engineering teams behind our platform and its API to improve service performance, reliability, scale, security and cost.
Keep production available to its SLOs - taking your turn on the on-call rotation and following each incident through to whatever stops it from happening again.
Work as part of the team: share what you know, learn from the people around you, and help us keep improving how we work together.

We are looking for a world class engineer to join its Infrastructure, Planning and Processes organization. The position will be part of a fast-paced crew that develops and maintains sophisticated build & test environments for a multitude of hardware platforms both DPU and Network Adapters. As a DevOps Engineer, youll also be working with various teams such as software engineering to deploy these new products and manage our infrastructure, associated processes and systems.

What youll be doing:

Develop and support continuous integration (CI/CD) processes and automation workflows for various hardware and software products.

Build and maintain infrastructure across bare-metal, virtualized, and containerized environments.

Collaborate with global software developers, verification teams, and performance analysts to streamline release efforts.

Drive continual improvements in automation infrastructure, internal cloud tools, and high-scale grid computing solutions.

As a Platform DevOps Engineer for us, you will lead DevOps for our SaaS product. You will serve as the products primary DevOps owner, with end-to-end responsibility for infrastructure, Production availability, reliability, and development and deployment workflows. The role is designed to establish a scalable DevOps capability as the product and organization grow.

Key Responsibilities
Own the end-to-end cloud-native infrastructure for us, including Development, Test, and Production environments.
Design and build scalable, secure, and reliable infrastructure for an active SaaS product.
Lead CI/CD, deployment, and release-management processes using GitHub Actions, GitOps, and Argo CD.
Manage and scale Kubernetes, Docker, Helm, and public-cloud infrastructure using Terraform.
Establish and lead observability, monitoring, alerting, and incident-response capabilities.
Participate in on-call rotations, resolve Production incidents, lead postmortems, and drive preventive improvements.
Partner with R&D teams to improve product performance, scalability, reliability, and security.
Develop automation and scripting tools, and promote AI-powered code assistance and development practices to improve operational speed and quality.
Build operational processes, infrastructure standards, and documentation that support the future growth of the DevOps capability.

We are looking for a passionate and skilled Senior DevOps Engineer to join our team. The ideal candidate is a proactive problem-solver with extensive experience in architecting and maintaining high-scale, production grade SaaS environments across multiple cloud providers.

As a Senior DevOps Engineer, you will be part of a high-performing team, leading the company infrastructure. You will work in a dynamic and agile environment with the most cutting edge technologies.

Responsibilities:
Design and plan large-scale, multi-cloud (GCP, AWS, Azure) production architectures, ensuring compliance with strict SLAs.
Automate infrastructure provisioning using tools like Terraform/Terragrunt, and leveraging GitOps methodologies.
Implement and maintain CI/CD pipelines to support multiple development teams.
Establish best practices for observability, logging, and alerting using technologies such as Datadog, Coralogix, OpenTelemetry, and Prometheus/Grafana.
Drive continuous improvement in system reliability, scalability, and cost efficiency across all environments.
Manage and operate message brokers (RabbitMQ), databases (MySQL, Redis), at scale.
Mentor engineers, fostering a strong DevOps culture and establishing standard practices within the organization.

Required DevOps Engineer
The role :
You will join a global DevOps & Platform team responsible for designing and operating distributed production systems at very high scale, with a relentless focus on quality, robustness, and reliability. We provide the tools to push forward product innovation and scale in the age of AI.
You will own projects end-to-end, drive new implementations forward, and act as a technical partner across the organization. Youll work closely with the Platform teams, Development teams, Architects, AI/ML Researchers, and Product, translating complex needs into resilient systems that scale.
Were looking for someone who takes ownership, who can see a problem or a need, shape the solution, and carry it all the way to production.
The day-to-day :
Lead initiatives end-to-end, from design through implementation to production rollout, owning the outcome, not just the task
Design, build, and operate highly available, distributed systems at scale on AWS and GCP, with a strong emphasis on quality and robustness
Work across the full platform stack, Kubernetes, Docker, and Helm, CI/CD and automation, and the data, caching, and messaging layers (Mongo, MySQL, Postgres, Redis, Kafka, and more)
Modernize and consolidate different stacks and architectures into our single, coherent platform
Build and operate the infrastructure behind our AI workloads, including GPU inference and the platforms that serve them
Drive system reliability, monitoring, and observability, and troubleshoot complex issues across application, infrastructure, networking, OS, and data layers
Collaborate across Platform, Development, Architects, AI/ML Researchers, and Product, and leverage modern AI coding tools to work at high velocity and quality

Were looking for a hands-on DevOps Engineer with experience in Microsoft environments to join our infrastructure team. In this role, youll own the day-to-day operations, maintenance, automation, and improvement of our development and production environments. Youll work closely with development, QA, and support teams to ensure system stability, streamline deployments, and solve infrastructure challenges end-to-end.
Responsibilities:
Manage, maintain, and operate Azure cloud environments
Administer Windows Server environments across production and development
Deploy and manage .NET applications on IIS
Support CI/CD pipelines and deployment processes
Monitor systems, analyze logs, identify issues, and provide timely solutions
Work with SQL Server - backups, restores, performance tuning, permissions, jobs, and routine maintenance
Collaborate with development, QA, and support teams to resolve incidents and improve processes
Set up and harden environments while ensuring high availability and system stability.

We are looking for an experienced DevOps Engineer to join our technology team.
Location: Holon
Responsibilities
In this role, you will be responsible for building and maintaining CI/CD pipelines, managing infrastructure, implementing automation processes, monitoring systems, troubleshooting technical issues, and continuously improving our development and production environments.

Tech is at the center of everything we do at Fiverr and we're looking for people who are builders at their core. From developers to visionaries and everything in between, we want minds who aren't just interested in putting the pieces together but who can find new ways to innovate. Solid communication, creative problem solving and business understanding are all prerequisites. So, if you're tech savvy, inquisitive, and ready to take the road less traveled, the Fiverr Technology team might be right for you. Fiverr's Engineering team is expanding its DevOps capabilities to manage our rapidly growing cloud infrastructure. We're looking for a mid-level DevOps Engineer to join this high-velocity environment, taking ownership of cloud assets, contributing to production stability, and driving key projects. You'll be instrumental in strengthening our team and supporting our continued innovation.

What am I going to do?:

* Independently deploy and maintain robust cloud infrastructure across AWS, GCP, and CloudFlare, leveraging Kubernetes, Terragrunt, and Ansible.
* Contribute to an on-call rotation, ensuring the stability of critical production services including Kafka, RabbitMQ, and various databases, with a focus on proactive incident resolution.
* Lead small to mid-sized projects from conception through completion, utilizing your expertise in CI/CD pipelines (Jenkins, ArgoCD, Argo Workflows) and scripting languages like Python, NodeJS, Go, or Kotlin.
* Partner closely with security and development teams to embed security best practices throughout the entire software development lifecycle.
* Proactively evaluate and implement new tools and technologies to enhance engineering efficiency, security posture, and operational excellence.
* Manage sensitive information securely using tools like HashiCorp Vault and ensure secure configurations for services like Kong & Nginx.

Equal opportunities:
At Fiverr, we know that talent has no single face. We welcome talent from everywhere and everyone because it makes everything we build better. Need accommodations? Just ask. And if this role excites you but you don't tick every box, apply anyway. The best people rarely fit the mold exactly.

Required DevOps - AI Factory
The role:
You will join a global DevOps & Platform team responsible for designing and operating distributed AI production systems at very high scale, with a relentless focus on quality, robustness, and reliability. We provide us with the tools it needs to push forward product innovation and scale out the age of AI. You will own projects end-to-end, drive new implementations forward, and act as a technical partner across the organization. Youll work closely with the Platform teams,AI Labs, Development teams, Architects, AI/ML Researchers, and Product, translating complex needs into resilient systems that scale. Were looking for someone who takes ownership, who can see a problem or a need, shape the solution, and carry it all the way to production.
The day-to-day:
Lead initiatives end-to-end, from design through implementation to production rollout, owning the outcome, not just the task
Design, build, and operate highly available, distributed systems at scale on AWS and GCP, with a strong emphasis on quality and robustness
Work across the full platform stack, Kubernetes, Docker, and Helm, CI/CD and automation, and the data, caching, and messaging layers
Modernize and consolidate different stacks and architectures into our single, coherent platform
Build and operate the infrastructure behind our AI workloads, including GPU inference and the platforms that serve them
Drive system reliability, monitoring, and observability, and troubleshoot complex issues across application, infrastructure, networking, OS, and data layers
Collaborate across Platform, Development, Architects, AI/ML Researchers, and Product, and leverage modern AI coding tools to work at high velocity and quality.

We're looking for a Sr. DevOps Engineer to help reshape how our infrastructure and delivery pipelines are built - not just automating tasks, but engineering the platforms and AI-assisted tooling that let our engineers ship faster, safer, and with more confidence. You'll report to the DevOps Sr. Manager.

This isn't a "keep the lights on" role. You'll take real ownership of how our CI/CD and infrastructure evolve, with the autonomy to decide where AI-assisted tooling (copilots, LLM-driven diagnostics, intelligent automation) can remove toil and accelerate the software delivery lifecycle for the teams that depend on us. If you like turning messy, manual processes into reliable, self-service platforms, you'll feel at home here.


Location
Working at least 3 days a week from the office in Caesarea


What you will be doing:

Operate and extend our Kubernetes and container-based platforms, orchestrating deployments across AWS.
Own and evolve CI/CD pipelines spanning Debian packaging, container orchestration, and cloud-native deployments - increasingly augmented with AI-assisted testing, anomaly detection, and self-healing automation.
Design and build Python modules, tools, and services that power our CI frameworks, packaging processes, and operational automation - with AI coding assistants (e.g., Claude Code, Copilot) as a standard part of your workflow for scaffolding, refactoring, and code review.
Partner with development teams to diagnose and resolve complex issues across build systems, APIs, and dev environments, leveraging AI-assisted log analysis and root-cause tooling to cut time-to-resolution.
Maintain and improve automated build/test pipelines using Jenkins and Argo Workflows.
Apply infrastructure-as-code practices with Terraform, ArgoCD, and Helm to keep environments reproducible and easy to reason about.
Explore and pilot AI-driven observability and incident-response tooling (e.g., anomaly detection on metrics/logs, automated runbook suggestions) to make our systems more self-diagnosing over time.
Champion the use of AI/LLM tooling to eliminate manual, repetitive DevOps work - and share what works so the whole team levels up.