דרושים » הנדסה » Networking Infrastructure and DevOps Engineer 25036

We are looking for a Cloud Infrastructure and DevOps Engineer to join our Infrastructure team. Who has a passion for automation, network performance optimization, and high availability infrastructure, who has a desire to design and implement scalable data center solutions with a proactive approach to continuous improvement. We use an interesting and mixed technology stack: Kubernetes, Infrastructure as Code (Terraform/Ansible), and multi-cloud environments (VulTR, DigitalOcean, Linode, Upcloud). In this position you will use your expertise in managing large-scale data center infrastructure and network engineering, and will design, deploy, and maintain high-performance and highly available network and compute infrastructure.
Key Responsibilities
Design, build and manage our cloud infrastructure in order to ensure high availability, scalability, and optimal performance.
Create and maintain Infrastructure as Code (IaC) that deploys, scales, configures, and updates data center equipment, especially network devices.
Monitor network and system performance, detect bottlenecks or connectivity issues, and implement solutions to improve scalability, reliability, and security.
Drive automation and innovation by experimenting with new tools, DevOps best practices, and optimization techniques to reduce operational overhead and accelerate deployments.
Collaborate with cross-functional teams (developers, QA, security, and customer-facing teams) to ensure network security, data integrity, and adherence to industry best practices, while leading knowledge-sharing sessions on infrastructure topics.

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.

we are a global leader in cybersecurity, committed to safeguarding organizations against evolving cyber threats. Our Cloud Network Security group is driving innovation in cloud solutions, and we are seeking a DevOps Engineer with strong development skills to join our team.
As a Senior DevOps Engineer, you will design and optimize CI/CD pipelines, manage multi-cloud environments, and collaborate with cross-functional teams to ensure secure, scalable, and reliable cloud services. You will also participate in automation development for cloud security. This role requires a solid software development foundation, cloud governance expertise, and a forward-thinking approach to AI adoption and FinOps practices.
About the Team
You will be part of the Cloud Security DevOps & Automation team, a key unit under the CloudGuard Network Products group, responsible for building automation frameworks, enforcing security policies, and driving innovation in multi-cloud environments. Our team focuses on delivering secure, scalable, and automated solutions while providing robust DevOps and automation support to internal development teams, enabling them to build and deploy cloud security products efficiently.
Key Responsibilities
CI/CD Automation: Design, implement, and maintain CI/CD pipelines for SaaS deployments using tools like GitLab CI, Zuul and Github Workflows.
Cloud Security Automation: Develop automation solutions to enforce security policies and compliance across multi-cloud and private cloud environments.
Automation Infrastructure: Build and maintain automation frameworks and tools to streamline infrastructure provisioning, deployment, and operational tasks.
Cloud Governance: Manage and enforce governance across multi-cloud accounts (like AWS, Azure, GCP).
Performance & Reliability: Monitor system performance, troubleshoot issues, and optimize for scalability, security, and cost efficiency (FinOps orientation).
Containerization: Deploy and manage containerized applications using Docker and Kubernetes.
AI Integration: Explore and implement AI-driven solutions to enhance DevOps workflows.

We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.
As a Senior DevOps Enginee, youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.
Our ideal candidate is passionate about DevOps and observability, has strong communication skills, and thrives on constant improvement for both technology and processes. If you enjoy working on multiple projects in parallel and are a proactive team player, youll fit right in.
This is a unique opportunity to join the core team of a fast-growing startup, where your contributions will have a direct impact on our product and success.
Responsibilities:
Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards

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.

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.

Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

We are hiring a DevOps Engineer to manage all engineering infrastructure, improve the CI/CD process, develop and provide the necessary support to drive engineering efforts forward. In this role, you will be responsible for managing our infrastructure across all domains, taking full ownership of and overseeing production runtime. You will also implement best practices to enhance the products security, stability, and monitoring.
Responsibilities:
Infrastructure as Code (IaC): Design, provision, and manage resilient AWS infrastructure using Terraform/Terragrunt, ensuring environments are scalable and fault-tolerant.
Pipeline Orchestration: Own the CI/CD lifecycle (GitHub Actions/Jenkins), automating build and deployment flows to achieve high-frequency, low-risk releases.
Operational Health: Architect comprehensive monitoring and observability stacks (Coralogix, Grafana, New Relic) to proactively manage system performance and uptime.
Security & Compliance: Hardened our perimeter by implementing rigorous access controls, vulnerability scanning, and automated security guardrails.
Developer Enablement: Build internal tools and scripts (Python/Bash) to eliminate bottlenecks, allowing our developers to focus on shipping features.
Incident Response: Serve as a key stakeholder in production stability, acting on alerts and conducting root-cause analysis for system anomalies.

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.

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.