דרושים » מחשבים ורשתות » DevOps Deployment Engineer

As a Senior DevOps Engineer, youll help turn agentic AI capabilities for diagnosing and troubleshooting network and GPU infrastructure into secure, scalable, production-ready services. This role stands out through its end-to-end ownership across cloud and customer-managed environments, close partnership with software and AI engineers, and direct influence on the reliability of NVIDIAs AI infrastructure.


What You'll Be Doing:
Own the DevOps, infrastructure, security, release, and reliability lifecycle - from development environments and CI/CD through deployment, production readiness, and sustained operations.
Build and operate Kubernetes environments and Helm-based deployments for a Python, FastAPI, Node.js, and React microservices platform across SaaS and on-premises footprints.
Engineer GitLab CI/CD pipelines with automated testing, container builds, vulnerability scanning, and versioned image and Helm chart publication through JFrog Artifactory.
Automate infrastructure provisioning, configuration, upgrades, and routine operational workflows to accelerate delivery and improve engineering productivity.
Operate PostgreSQL, Temporal workflow services, and S3-compatible object storage with disciplined capacity planning, backups, recovery testing, and safe migrations.
Strengthen release reliability through deployment validation, reduced-downtime strategies, persistent-state protection, and recovery plans for active workflows.
Deliver actionable observability and security using OpenTelemetry, Datadog/Grafana, Langfuse, secrets management, identity integration, TLS, Kubernetes RBAC, network policies, and container hardening.
Partner with software and AI engineers to troubleshoot distributed systems, investigate incidents, define reliability targets, and improve platform performance, resource efficiency, and customer outcomes.

We are on an expedition to find an On-Premise Site Reliability Engineer (SRE)- someone who is passionate about building rock-solid, high-performance infrastructure and bringing order to complex environments. In this role, you will own the end-to-end reliability, automation, and deployment of our platform across customer sites, working hands-on with cutting-edge AI, bare-metal, and hybrid cloud architectures.
Youll collaborate closely with Product, R&D, and Architecture teams while serving as the ultimate technical authority for our customer deployments. From designing automated Ansible workflows and mastering Kubernetes to troubleshooting complex network topologies, you will eliminate toil, streamline cluster operations, and ensure every deployment is scalable, seamless, and mission-ready.
Responsibilities
Lead End-to-End On-Prem & Hybrid Deployments: Own the technical delivery and reliability of our platform in close collaboration with Product, R&D, and customer technical teams.
Architect, Execute & Improve K8s Deployments: Take a definitive hands-on role in deploying, configuring, operating, and continuously improving our platform using advanced, enterprise-grade Kubernetes architectures.
Helm Chart Management: Design, modify, and manage Helm charts to package, version, and streamline complex application deployments across different environments.
Drive Automation & Simplification: Design, implement, and maintain robust deployment automation using Ansible. You must have a passion for turning complex manual tasks into reliable, repeatable, single-click operations.
Manage Infrastructure as Code: Utilize Git as the single source of truth to manage configurations, manifests, and automation playbooks, enforcing modern engineering best practices.
Bridge On-Prem and Cloud: Leverage AWS resources (specifically EC2 and S3) for hybrid components, staging environments, or cloud-to-on-prem data flows.
Technical Tier-3 Escalation: Serve as the ultimate technical authority for deployment, Linux networking, and Kubernetes orchestration issues.
Continuous Improvement: Constantly refine our delivery pipelines, optimize bootstrap processes, and create rock-solid technical documentation.

We're looking for a DevOps & Deployment to join the Deployment team and take ownership of how reaches our customers' environments - and how it runs once it gets there.
This role sits at the intersection of cloud infrastructure and backend engineering. You'll build and maintain the Infrastructure-as-Code and tooling that customers use to deploy across AWS, Azure, and GCP - including Kubernetes-based, VM-based, and on-premise environments. Alongside that, you'll develop the backend services that power the deployment lifecycle: orchestration, provisioning, environment management, health monitoring, and deployment verification - time-critical services where reliability directly impacts the customer experience.
The role blends hands-on engineering, cloud architecture, and customer-facing technical work. You'll collaborate with Solutions Engineering, Support, and customers directly to ensure deployments are smooth, secure, and scalable.

We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and
Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability,
security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis,
capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI team
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.

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.

We're hiring an experienced DevOps Engineer to join our engineering team. This role suits someone who has already spent real time operating cloud-native infrastructure at scale - not someone looking to break into the field. You'll bring a GitOps mindset, hands-on Kubernetes depth, and the independence to research and learn new tools quickly in a fast-moving, large-scale environment.
Design, operate, and troubleshoot Kubernetes clusters (EKS/AKS) at scale
Manage application delivery and infrastructure using GitOps tools (ArgoCD/Flux)
Build and maintain Helm charts and Kustomize overlays for multi-environment deployments
Provision and manage cloud infrastructure using Crossplane
Own and optimize CI/CD pipelines (GitHub Actions, GitLab CI) for build, test, and deployment workflows
Maintain and extend observability stacks, including Prometheus, Grafana, alerting rules, and dashboards
Write automation scripts and tooling in Python, Go, or Bash to streamline operations
Develop internal developer portals, AI agents, and other engineering productivity tools
Support AWS infrastructure across multiple accounts and regions, including networking, IAM, compute, and storage services
Participate in on-call rotations, troubleshoot production incidents, and drive root-cause analysis
Collaborate with Platform, Security, and Application Engineering teams on infrastructure design and reliability improvements.

We are looking for a DevOps IT Engineer to join our dynamic IT team. This role blends hands-on system administration with modern DevOps practices, focusing on building, automating, and operating scalable hybrid environments across on-prem and cloud platforms.
If you are passionate about automation, cloud infrastructure, and improving developer productivity while maintaining robust and secure enterprise systems - we want to hear from you!
Responsibilities:
Design, build, and operate scalable infrastructure across on-prem environments and cloud platforms (AWS & Azure).
Manage and evolve virtualization platforms such as VMware and KVM (Proxmox).
Implement and maintain cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices.
Own identity and access management solutions including Azure Entra ID (Azure AD), SSO, MFA, Conditional Access, and directory synchronization.
Manage enterprise endpoint solutions such as Microsoft Intune and MobileIron/IVANTI.
Automate infrastructure provisioning, configuration, monitoring, and operational workflows.
Build and maintain internal tools to improve developer experience and engineering productivity.
Ensure system reliability, performance, and cost optimization across cloud and on-prem environments.
Maintain high security standards, compliance, and operational best practices.
Collaborate closely with DevOps, R&D, Security, and IT teams to support development and production environments.
Develop and maintain clear technical documentation.

We are looking for someone who combines strong hands-on technical skills with a systems mindset - someone who can troubleshoot complex issues, automate repetitive work, improve existing architecture, and lead infrastructure initiatives from design through production.



Key Responsibilities

Manage and improve cloud infrastructure, primarily in AWS, with exposure to Azure, GCP, and other cloud platforms.
Own identity and access management across cloud and SaaS environments, including Entra ID, SSO, IAM, RBAC, and user lifecycle processes.
Administer and troubleshoot Microsoft 365, VMware, networking, and other core enterprise infrastructure.
Automate operational and administrative tasks using Python, PowerShell, APIs, Infrastructure as Code, and AI-assisted tools.
Use AI effectively for scripting, troubleshooting, documentation, analysis, and improving IT operational workflows.
Manage enterprise endpoints and device compliance using Kandji and Microsoft Intune.
Troubleshoot complex infrastructure, cloud, identity, and connectivity issues and act as an escalation point for the IT team.
Partner with Security and Engineering teams to improve access controls, infrastructure security, monitoring, and compliance.
Proactively improve reliability, scalability, documentation, and operational processes.

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.