דרושים » מחשבים ורשתות » לחברת הייטק מובילה דרוש /ה DevOps /Cloud Engineer מנוסה

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 lead Observability and Continuous FinOps as core platform capabilities .This is a hands-on platform role. You will own the systems, automation, and operating models that give engineers and leadership deep visibility into system health and cloud spend. You are a DevOps engineer first, with primary ownership over observability and cloud financial management.
What Youll Do:
Own and operate observability platform, including metrics, logs, traces, and alerting
Build observability-as-code and self-service tooling for development teams
Define and implement observability standards such as SLIs, SLOs, error budgets, and service health models
Lead Continuous FinOps practice together with Engineering and Finance
Build and maintain cost dashboards, alerts, anomaly detection, and forecasting
Provide clear unit-economics and cost allocation across teams, services, and environments
Drive cloud cost optimization initiatives across compute, storage, and managed services
Build and maintain cloud infrastructure, CI/CD pipelines, and infrastructure-as-code
Partner closely with Engineering, Platform, and Finance stakeholders

We are looking for an experienced team player and fast learner DevOps Engineer.
A responsible individual who shares knowledge and accustomed to working in a fast-paced agile environment.
Main Responsibilities:
Build and deploy pipelines (CI/CD).
Provide and implement architectural solutions and for complex data and processing requirements involving large-scale systems and rapid growth.
Manage live microservice-based production environments.
Implement system monitoring procedures and develop procedures accordingly.
Design, implement & develop various solutions according to R&D/Production needs.
Work closely with R&D teams to enable delivering features to production.
Be part of a 24/7 production support on-call rotation.

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.

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

Come and join the Professional Services team and help us to continue to lead the rapidly evolving space of DevOps and DevSecOps!
As a Professional Service DevOps Engineer you will...
Work with customers to design, set up, and build CI/CD pipelines and DevOps platform using products and other cutting-edge technologies and practices like Docker, Kubernetes, IaC, and Cloud Native
Team up with Sales, Customer Success, Support, and Development while working directly with Devs and DevOps Pros to ensure success with the customers DevOps journey using the platform
Set up, design, and build CI pipelines with Docker, NPM, Java, Pypi etc. (Binary Repositories, Distribution to Devices, and Continuous Build Tooling)
Train the open source community and customers
Influence the features and roadmap of tools based on customer needs
Keep current with the latest technology trends related to DevOps and the landscape of CI/CD Technology
Work closely with our customers and community to build solid relationships

We are looking for a DevOps Engineer to lead Observability and Continuous FinOps as core platform capabilities .This is a hands-on platform role. You will own the systems, automation, and operating models that give engineers and leadership deep visibility into system health and cloud spend. You are a DevOps engineer first, with primary ownership over observability and cloud financial management.
What Youll Do:
Own and operate observability platform, including metrics, logs, traces, and alerting
Build observability-as-code and self-service tooling for development teams
Define and implement observability standards such as SLIs, SLOs, error budgets, and service health models
Lead Continuous FinOps practice together with Engineering and Finance
Build and maintain cost dashboards, alerts, anomaly detection, and forecasting
Provide clear unit-economics and cost allocation across teams, services, and environments
Drive cloud cost optimization initiatives across compute, storage, and managed services
Build and maintain cloud infrastructure, CI/CD pipelines, and infrastructure-as-code
Partner closely with Engineering, Platform, and Finance stakeholders

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