דרושים » תוכנה » Senior Cloud Engineer

We are seeking an experienced and highly motivated Senior DevOps Engineer to join our engineering and DevOps team. As a Senior DevOps Engineer, you will be the architect of our infrastructure, ensuring that platform is scalable, resilient, and secure. This is a hands-on role where you will bridge the gap between development and operations, automating our deployment pipelines and managing our cloud-native ecosystem. This is an incredible opportunity to shape the foundational infrastructure of a high-growth data company.

What You'll Do

Design, implement, and manage our cloud infrastructure using tools like Terraform, ensuring environment consistency and scalability.

CI/CD Automation: Take full ownership of our deployment pipelines, optimizing for speed, reliability, and developer productivity.

Cloud Orchestration: Manage and scale our Kubernetes (K8s) clusters on AWS, ensuring high availability and efficient resource utilization.

Observability & Monitoring: Implement and maintain robust monitoring, logging, and alerting systems to ensure platform health and rapid incident response.

Security & Compliance: Drive security best practices across the infrastructure, including IAM management, network security, and vulnerability scanning.

Collaborate: Work closely with software engineers to optimize application performance, containerization strategies, and database reliability.

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 teams.
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.

Were looking for a Senior Infrastructure Engineer who views "Infrastructure as Software." In 2026, we dont just manage servers; we build high-performance environments that allow multi-agent systems to operate at scale.
You will be a core member of the R&D team, blending deep DevOps expertise with the coding rigor of a Backend Engineer. You arent just "configuring" AWS; you are architecting the distributed systems and data pipelines that power our autonomous security brain. Your mission is to ensure that while our agents are evolving and taking actions, our underlying platform remains immutable, observable, and infinitely scalable.
What You'll Do
Design, build, and operate our company's cloud infrastructure using AWS, Kubernetes, and Infrastructure as Code.
Build internal tools and platform services using Python and Go to improve developer productivity and system reliability.
Own infrastructure automation with Terraform, Pulumi, and modern cloud-native tooling.
Partner closely with Backend, Data Science, and Security Engineering teams to build scalable, reliable platforms.
Improve observability, monitoring, and incident response across distributed production systems.
Design and optimize infrastructure for performance, scalability, security, and cost efficiency.
Help shape engineering best practices, platform architecture, and developer experience as our company continues to grow.

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.

As a Senior SRE Engineer, you will be a key player in ensuring the reliability, scalability, and performance of our critical IT infrastructure. You will leverage SRE principles and an automation-first mindset to build and maintain resilient hybrid cloud environments. This role is ideal for a candidate who thrives in a fast-paced, innovative setting and is passionate about solving complex challenges with cutting-edge technology.
Key Responsibilities
Provision, configure, and support resilient hybrid cloud deployment architectures using an Infrastructure-as-Code framework.
Proactively collaborate with development teams to ensure new applications are production-ready, scalable, and reliable from inception.
Develop and maintain tools and frameworks to automate operational tasks, including deployment, monitoring, and recovery.
Conduct thorough root cause analysis of production issues and implement preventative measures to improve system resilience, demonstrating strong problem-solving skills.
Manage CI/CD platforms, Linux infrastructure, and contribute to capacity planning and operational runbooks.
Design and implement proactive service monitoring, alerting, and trend analysis to maintain service availability and performance SLAs.
Participate in an on-call rotation to support critical applications and services, responding to and resolving incidents efficiently.
Contribute to comprehensive documentation related to infrastructure design, deployment, and operational procedures.

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

WHAT YOU WILL DO

- Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.

- Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.

- Stay hands-on: contribute to design and code, review work, and set engineering standards.

- Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.

- Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.

- Help evolve the platform, including our ongoing migration from Dask to Ray.

We are looking for a hands-on DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities:
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.
Drive AI-Powered Automation: Design, build, and deploy infrastructure for autonomous AI agents and agentic flows, integrating AI tooling directly into developer platforms and CI/CD pipelines.
Architect AI Platform Infrastructure: Establish reliable, scalable, and secure AI/DevOps orchestration frameworks to enable continuous deployment and runtime management of AI-driven tools.

we are looking for an experienced DevOps Engineer to join our growing team. As a DevOps Engineer, you will play a critical role in optimizing and automating our infrastructure and deployment processes. You will work closely with the development and operations teams to ensure the reliability, scalability, and security of our platform while continuously improving our CI/CD pipelines. The ideal candidate is passionate about automation, loves working with cutting-edge technologies, and thrives in a collaborative environment.
What you will do:

Design, implement, and manage scalable, highly available infrastructure in our AWS-based cloud environment

Develop and maintain continuous integration and delivery pipelines to allow developers to push bug fixes and enhancements in a quick and safe manner.

Build our monitoring, logging, and alerting systems to ensure high availability, performance, and reliability. Rapidly identify and resolve production issues.

Work closely with developers and product teams to ensure seamless deployments and improve system performance.

Ensure the infrastructure and deployment processes adhere to best practices in security and compliance.

Develop specific infrastructure solutions to customers in order to allow us to provide our services to customers in highly-regulated industries.

The Role & The Challenge
We are seeking a DevOps Engineer, at the mid or senior level, to join our infrastructure team, reporting directly to our DevOps Team Leader. Depending on experience, this role will either contribute to or help drive advanced infrastructure initiatives - from system design through production hardening - as we raise the bar for operational excellence across the company.
The immediate challenge: our company operates a high-volume, multi-account AWS environment. You will help solve complex delivery, scaling, and operational problems along the way. Scope and ownership will be calibrated to your experience level.
Responsibilities
Contribute to Cloud & Migration Strategy: Work alongside our DevOps Team Leader to help plan and execute our migration from ECS Fargate to Kubernetes (EKS) without downtime, while maintaining our existing cloud estate.
Advance Infrastructure as Code: Design and implement modern, modular IaC frameworks utilizing Terraform and OpenTofu to ensure consistent, multi-environment deployments.
Improve Enterprise CI/CD: Evolve our delivery pipelines (GitHub Actions, OIDC federation) at scale, reducing developer friction and elevating deployment safety across dozens of services.
Support Data-Intensive Infrastructure: Help maintain the performance, capacity, and resilience of our high-volume data layer (ClickHouse, ScyllaDB, DynamoDB, RDS, Redis) and event-driven messaging pipelines.
Strengthen Reliability & Observability: Help maintain organization-wide reliability standards using open, modern telemetry stacks (OpenTelemetry, Coralogix, Grafana), ensuring on-call operations are driven by signal, not noise.
Balance Growth & Governance: Participate in technical tradeoff decisions that balance velocity, least-privilege security, zero-trust access (Tailscale), and FinOps cost efficiency.