דרושים » מחשבים ורשתות » DevOps Engineer (Data Platform Group)

seeking a Data Infra Engineer. You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

As we continue to grow, we seek an experienced DevOps Engineer to join our DevOps team.

You'll play a pivotal role in shaping our cloud infrastructure and fostering a DevOps-oriented culture. Here's what you'll be doing:

Build and design efficient and high-quality cloud architectures.
Ensure seamless integration of DevOps principles into our organizational culture.
Work closely with our development teams during architecture planning and design phases.
Champion DevOps practices and facilitates continuous learning across various R&D domains.
Mentor and guide developers on best practices for efficient and automated workflows.
Manage, monitor, and scale our distributed highly available SaaS platform.
Troubleshoot issues and optimize performance.
Utilize major technologies to deliver high-scale SaaS and big data environments on Public Clouds.
Build, implement, and manage our IaC methodology using Terraform.
Play a key role in our FinOps activities, monitoring, maintaining, and reducing cloud costs.
The DevOps Engineer will be part of our cross-organization DevOps

This is a unique opportunity to join a startup that has a meaningful impact on the well-being and mental health of thousands.

we are looking for a DevOps Engineer.
As a DevOps Engineer, youll design and maintain the secure, scalable cloud infrastructure powering our AI healthcare solutions. Youll build automation, CI/CD pipelines, and monitoring systems that ensure reliability and compliance in a fast-paced environment. Your work will directly enable our teams to innovate faster while keeping patient data safe and systems resilient.
What Youll Do:
Manage secure, scalable cloud infrastructure (AWS)
Maintain CI/CD pipelines to streamline deployment and delivery
Automate provisioning, monitoring, and incident response workflows
Troubleshoot and resolve production issues, ensuring uptime and performance
Develop tools that accelerate development and improve operations
Collaborate with teams to uphold security, compliance, and reliability standards

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.

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 a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, our company uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, our company delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, our company ensures end-to-end, cost-effective cloud infrastructure protection. At our company, youll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth.
We are looking for an experienced DevOps Engineer to join our team. Our DevOps team collaborates closely with every engineering unit within our company, delivering CI/CD and scalable infrastructure for all our company features. We leverage valued OSS solutions and employ a modern tech stack, including Kubernetes, Terraform, Argo, Helm, VictoriaMetrics, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more.
Responsibilities:
Take part, end to end on all features within our companys infrastructure, CI\CD pipelines and product features
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 to scale in DevEx and infrastructure efforts
Be responsible for stable and scalable execution of product feature's infrastructure
Monitor and maintain Production infrastructure that makes our company's magic happen.

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.

We are looking for a talented DevOps Engineer to join our team, learn develop and grow with us. In this role you will work collaboratively with our RnD teams to empower the operations and infrastructure array, which is essential to support our ambitious goals.
Build and maintain a scalable cloud infrastructure in Production (Azure, GCP)
Troubleshoot and fix Production infrastructure/platform issues
Proactively and continuously improve Production stability and robustness to assure our infrastructure components are always up and available
Develop end to end projects in order to make our infrastructure better in large-scale including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.

As a DevOps Engineer, you will help lead our Infrastructure, SRE, CI/CD, Security, and Scale/Performance efforts. Your work will have a direct impact on development processes across the entire R&D organization.

You will take a leading role in defining and designing these systems, all to enable our Fullstack and Data teams to be as independent and successful as possible.

At Tailor Brands, the DevOps team doesnt manage all of our services on their own - they build the tools and guidance so our Development teams can own them end-to-end.

The team also builds and maintains internal AI-powered platform capabilities, including in-house MCP (Model Context Protocol) servers that support R&D and Data teams with enhanced automation, intelligent workflows, and AI-driven developer tools.

Take an active role in the DevOps engineering team that focuses on all aspects of CI/CD infrastructure, GitOps full automation, and operational metrics to ensure the highest productivity for our Cloud infrastructure. This includes contributing to new AI-augmented internal tools and workflows that improve engineering velocity and operational visibility.
Lead the design and delivery of software and infrastructure to improve the reliability, scalability, and efficiency of our services.
Design, develop, and maintain our core platform and CI/CD infrastructure and our development environments
Manage cloud security principles and define best practices
Build, configure, and tune highly available and fault-tolerant Container Clusters and K8s infrastructures
Take an active role in defining the teams roadmap
Develop automation to support our orchestration and application deployment
Participate in extending our platforms AI adoption across the organization by integrating LLM-powered capabilities into operational and developer workflows.

Nice to know:
We are located in Rothschild, Tel Aviv.
Our hybrid model includes four days in the office and one day at home.

Responsibilities
Architect and maintain scalable cloud-based data infrastructure (compute, storage, orchestration, messaging, workflow management).
Collaborate closely with Data Engineering to operationalize new pipelines, frameworks, and data models.
Implement infrastructure-as-code (e.g., Terraform) to ensure consistent, automated environment provisioning.
Develop internal tooling to support deployment automation, testing frameworks, and pipeline lifecycle management.
Own reliability, uptime, and performance across all production data workflows.
Implement monitoring, alerting, logging, and traceability using modern observability platforms.
Champion data quality, lineage tracking, and automated validation frameworks.
Lead incident response, root-cause analysis, and postmortems for pipeline or platform issues.
Work daily with data engineers, analysts, platform engineers, and stakeholders to improve reliability and developer experience.
Lead architectural reviews and guide teams in adopting DataOps best practices.
Mentor junior engineers and contribute to long-term data platform strategy.
Maintain clear, consistent documentation of operational processes, infrastructure components, and standards.