we are looking for an experienced DevOps Engineer to join our high-performance team. Youll work closely with development teams to design and implement smarter processes and tools, while embracing a GenAI-driven mindset. In this role, you will help build and scale infrastructure that not only keeps our company running smoothly, but also powers next-generation AI-driven applications with speed, resilience, and efficiency.
our companys Technology Stack sample:
AWS, Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo-Workflows, Service Mesh, Nginx, CloudFlare, Hashicorp Vault/Consul, Kafka, RabbitMQ, Prometheus, Grafana, VictoriaMetrics, CircleCI
Programming languages: Python, NodeJS, Go, Kotlin
What am I going to do?
Maintain and build a large-scale, highly available cloud infrastructure focusing on K8S.
Improve resiliency and cost efficiency of our cloud infrastructure.
Use GenAI tools to automate troubleshooting, speed up incident resolution, and improve production reliability.
Develop AI-driven self-service solutions to accelerate developer issue resolution and resource provisioning.
Develop and adopt new tools to make Development and Operations processes at our company more efficient.
Collaborate with developers to optimize system performance, reliability, and scale.
Evolve and maintain our companys AWS infrastructure by improving and adopting new services.
Support AI/ML/GenAI services with scalable infrastructure and monitoring.
Maintain our company availability by participating in DevOps on-call shifts.
Mentor DevOps engineers.

we are looking for an experienced DevOps Engineer to join our high-performance team. Youll work closely with development teams to design and implement smarter processes and tools, while embracing a GenAI-driven mindset. In this role, you will help build and scale infrastructure that not only keeps our company running smoothly, but also powers next-generation AI-driven applications with speed, resilience, and efficiency.
our companys Technology Stack sample:
AWS, Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo-Workflows, Service Mesh, Nginx, CloudFlare, Hashicorp Vault/Consul, Kafka, RabbitMQ, Prometheus, Grafana, VictoriaMetrics, CircleCI
Programming languages: Python, NodeJS, Go, Kotlin
What am I going to do?
Maintain and build a large-scale, highly available cloud infrastructure focusing on K8S.
Improve resiliency and cost efficiency of our cloud infrastructure.
Use GenAI tools to automate troubleshooting, speed up incident resolution, and improve production reliability.
Develop AI-driven self-service solutions to accelerate developer issue resolution and resource provisioning.
Develop and adopt new tools to make Development and Operations processes at our company more efficient.
Collaborate with developers to optimize system performance, reliability, and scale.
Evolve and maintain our companys AWS infrastructure by improving and adopting new services.
Support AI/ML/GenAI services with scalable infrastructure and monitoring.
Maintain our company availability by participating in DevOps on-call shifts.
Mentor DevOps engineers.

We are looking for a DevOps Engineer to join our dynamic and growing team. This is an opportunity to work alongside top engineers, gain hands-on experience in production environments, and help scale secure, high-performance services used by customers around the globe. You will be part of a fast-paced, startup-like environment, with the backing and stability of a global cybersecurity leader.
Key Responsibilities
Support the deployment and maintenance of scalable, multi-tenant environments across cloud platforms
Assist in automating infrastructure using Infrastructure-as-Code tools and CI/CD pipelines
Monitor and improve the reliability, performance, and security of platform services
Collaborate with development, product, and operations teams to deliver new features and improvements
Troubleshoot infrastructure and application issues in development and production environments
Implement custom user interfaces using the latest programming techniques and technologies
Design, develop, and maintain DevOps-related microservices that support platform automation and reliability
Design and integrate agentic AI capabilities into DevOps workflows to automate decision-making, incident response, and platform operations.

Required DevOps Engineer
About the Job:
As a DevOps / Platform Engineer at EdgeHawk Security, you will be responsible for building and operating the cloud and container platforms that power our security systems. You will work primarily with AWS, Kubernetes, Docker, and GitHub Actions, ensuring our infrastructure can reliably handle high-throughput, security-critical workloads. This role focuses on automation, scalability, and operational excellence in production environments exposed to real-world attack traffic.
What will you do?
Own AWS Infrastructure:
Design, deploy, and operate production infrastructure on AWS, including compute, networking, storage, and IAM, with a strong focus on reliability and security.
Build Kubernetes Platforms:
Operate and scale Kubernetes clusters running containerized backend services, including workload isolation, networking, upgrades, and capacity planning.
Containerize Everything:
Create and maintain Dockerfiles for backend services, focusing on small images, secure build practices, and fast startup times.
Automate CI/CD with GitHub:
Design and maintain GitHub Actions pipelines for build, test, container image creation, and deployment to Kubernetes.
Enable Safe Deployments:
Implement deployment strategies such as rolling updates, blue-green, or canary deployments to minimize risk in production.
Infrastructure as Code:
Define and manage AWS and Kubernetes infrastructure using Infrastructure-as-Code practices (Terraform preferred).
Operate & Debug Production Systems:
Monitor, troubleshoot, and debug live systems running in AWS and Kubernetes, participating in incident response and root-cause analysis.
Observability & Reliability:
Build monitoring and alerting using Prometheus/Grafana and logging pipelines to ensure fast detection and resolution of issues.

Fiverr is looking for an experienced DevOps Engineer to join our high-performance team. You’ll work closely with development teams to design and implement smarter processes and tools, while embracing a GenAI-driven mindset. In this role, you will help build and scale infrastructure that not only keeps Fiverr running smoothly, but also powers next-generation AI-driven applications with speed, resilience, and efficiency. Fiverr’s Technology Stack sample: AWS, Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo-Workflows, Service Mesh, Nginx, CloudFlare, Hashicorp Vault/Consul, Kafka, RabbitMQ, Prometheus, Grafana, VictoriaMetrics, CircleCI Programming languages: Python, NodeJS, Go, Kotlin

What am I going to do?:

* Maintain and build a large-scale, highly available cloud infrastructure focusing on K8S.
* Improve resiliency and cost efficiency of our cloud infrastructure.
* Use GenAI tools to automate troubleshooting, speed up incident resolution, and improve production reliability.
* Develop AI-driven self-service solutions to accelerate developer issue resolution and resource provisioning.
* Develop and adopt new tools to make Development and Operations processes at Fiverr more efficient.
* Collaborate with developers to optimize system performance, reliability, and scale.
* Evolve and maintain Fiverr’s AWS infrastructure by improving and adopting new services.
* Support AI/ML/GenAI services with scalable infrastructure and monitoring.
* Maintain Fiverr availability by participating in DevOps on-call shifts.
* Mentor DevOps engineers.

Equal opportunities:
At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

we are seeking a promising and talented DevOps Cloud Engineer to join our DevOps group. If you thrive in a fast-paced, dynamic environment, can handle multiple requests simultaneously, and enjoy working independently as part of a cutting-edge DevOps team, this is your opportunity to help make the world a safer place!
Key Responsibilities
Act as a DevOps Engineer within a highly skilled team, responsible for large-scale operations from development to production.
Design, develop, and maintain Avanans CI/CD solutions, including operating systems, containers, cloud orchestration, and full end-to-end automation.
Implement tools and procedures for monitoring, deployment, and alerting across our SaaS multi-tenant product family.
Participate in the large-scale migration of a highly complex system into a secured, regulation-compliant environment.
Continuously improve our cloud infrastructure to ensure fault tolerance, scalability, and security.
Plan capacity, stabilize, and enhance the performance of application infrastructure with cost efficiency and scaling in mind.
Design and shape our monitoring and logging solutions.
Execute all tasks with top-notch cloud infrastructure security as a guiding principle.

As a Senior DevOps Engineer In Threat Cloud, you will be pivotal in designing, implementing, and maintaining our cloud infrastructure. You will join a highly technological team responsible for managing Threat Cloud AI cloud environments, optimizing infrastructure, and ensuring security and cost efficiency. In this role, you will collaborate with key stakeholders across the company, including R&D, Security, and Product teams, to automate processes, streamline operations, and drive impactful changes in our cloud strategy.
Key Responsibilities
Impactful Contribution: Play a major part in shaping the Threat Cloud strategy, focusing on innovation and long-term success.
Lead the team towards technical solutions guided by a strong understanding of the latest and greatest technologies like Kubernetes, , GitOps and Data Lake solutions.
Tackle large-scale production issues and bring out-of-the-box thinking to the table
Cross-Functional Collaboration: Work closely with all major stakeholders in the company, including R&D, Security, Product, and more, to ensure seamless integration of DevOps practices.
Automation & Streamlining: Help automate and streamline our operations and processes, enhancing efficiency and reducing manual intervention.
Evaluate new cloud-native technologies and vendor products to continuously improve our infrastructure.

The Core Platform Engineering group is looking for a passionate, talented, and strong DevOps Engineer to drive the design and development of our next-generation SaaS Management Platform and infrastructure that delivers our Liquid Software vision to thousands of organizations across all major cloud providers (AWS, GCP, & Azure).
You will work with a team of highly-skilled, passionate DevOps engineers building a cloud-native infrastructure to smoothly run our systems and automate all aspects of our engineering platform. You should be driven by technology and enjoy automation, while being passionate about customer satisfaction.
As a DevOps Engineer , you will...
Work with cutting-edge technologies, utilizing the latest tools like Kubernetes, Helm, Prometheus, Thanos, and OpenTelemetry to build next-generation SaaS platforms
Operate across major cloud providers, including AWS, GCP, and Azure to build and scale our infrastructure, while proactively identifying bottlenecks and inefficiencies to implement automation and optimization solutions
Design, deploy, and optimize Kubernetes-based environments for applications to ensure high-availability and scalability
Establish and manage comprehensive monitoring and logging systems, such as Coralogix and Grafana, to proactively identify issues and ensure full uptime in production environments
Collaborate closely with various teams across , including R&D, Product, and Security, to ensure that DevOps practices adhere to security standards and compliance requirements
Participate in technical discussions to influence the roadmap and help make key decisions regarding the successful implementation of cloud platform initiatives
Design innovative solutions for monitoring large-scale SaaS environments, keeping both application and infrastructure challenges in mind
Implement CI/CD automated processes with a heavy emphasis on monitoring tools and deployment orchestration to streamline delivery

Were looking for an DevOps Engineer to join the R&D team and spread the power.
In this role, you will design and implement scalable systems that will keep us running smoothly and support our significant business growth.
You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.
WHAT YOULL DO
Take an active part of all DevOps areas: our infrastructure and cloud environment, tools, services and up-time.
Be part of our products architectural and infrastructure design, examine and implement new cloud technologies, and open-source tools to improve the delivery and availability of the product.
Plan and push forward the growth and scale of data capacity for various products.
Be responsible for the smooth production-grade execution of provided solutions.

Main responsibilities:
Data Architecture Direction: Provide strategic direction for our data architecture, selecting the appropriate componments for various tasks. Collaborate on requirements and make final decisions on system design and implementation.
Project Management: Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.
Efficiency and Reliability: Design and build monitoring tools to ensure the efficiency, reliability, and performance of data processes and systems.
DevOps Integration: Implement and manage DevOps practices to streamline development and operations, focusing on infrastructure automation, continuous integration/continuous deployment (CI/CD) pipelines, containerization, orchestration, and infrastructure as code. Ensure scalable, reliable, and efficient deployment processes.
Our stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Airflow, RDBMS, Spark, Kafka, Micro-Services, bash, Python, SQL.