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

The DevOps Engineer builds, automates, and operates cloud‑native infrastructure across AWS and Red Hat OpenShift, enabling scalable, secure, and reliable application delivery. This role combines hands‑on platform engineering, CI/CD automation, container orchestration, and the integration of AI‑powered tools for observability, anomaly detection, and operational efficiency. The engineer collaborates closely with development, security, and SRE teams to streamline deployments and improve system resilience.
Core Responsibilities
Cloud & Platform Engineering
Design, deploy, and maintain cloud‑native infrastructure on AWS (EC2, VPC, IAM, EKS, S3, RDS, Lambda).
Operate and optimize Red Hat OpenShift clusters, including cluster upgrades, operator management, and workload orchestration.
Implement Infrastructure‑as‑Code using Terraform, CloudFormation, or Ansible.
Build secure, scalable network architectures including VPC design, load balancing, service mesh, and ingress/egress controls.
CI/CD & Automation
Develop and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or Argo Workflows.
Automate build, test, and deployment workflows for microservices and containerized applications.
Implement GitOps practices using Argo CD or Flux.
Create reusable automation modules and scripts in Python, Bash, or Go.
Containers & Kubernetes
Manage containerized workloads using Docker, Kubernetes, and OpenShift Operators.
Configure namespaces, RBAC, secrets, ConfigMaps, and resource quotas.
Troubleshoot cluster performance, networking, and scheduling issues.
Support service mesh technologies (Istio, Linkerd) when applicable.
AI‑Driven Operations
Integrate AI/ML‑based tools for monitoring, anomaly detection, predictive scaling, and automated remediation.
Work with data and platform teams to operationalize AI/ML pipelines on Kubernetes or OpenShift.
Evaluate emerging AI‑Ops platforms and contribute to automation strategies.
Observability & Reliability
Implement monitoring, logging, and tracing using Prometheus, Grafana, ELK, Loki, CloudWatch, or Datadog.
Build alerting, dashboards, and SLO‑based reliability metrics.
Participate in on‑call rotations and incident response, driving root‑cause analysis and long‑term fixes.
Security & Compliance
Apply DevSecOps practices including image scanning, secrets management, and policy enforcement.
Work with security teams to implement IAM best practices, encryption, and compliance controls.
Integrate tools such as Vault, OPA/Gatekeeper, or Kyverno.

we are looking for a talented DevOps Engineer to join us on our mission to simplify decision-making for millions!

What You'll Do

Responsibilities

Design, own, and evolve DevOps tooling, CI/CD architecture, and infrastructure automation strategies across multi-cloud environments (AWS & GCP), supporting high-performance, resilient production systems.
Manage Kubernetes clusters (EKS, GKE) and containerized microservices at scale, leveraging Helm, IaC, and other cloud-native technologies.
Collaborate with engineering and data teams to optimize cloud-native architectures for performance, cost-efficiency, scalability, and high availability.
Automate infrastructure and pipeline workflows using Python, Bash, and Groovy, with IaC tools like Terraform and CloudFormation, and CI/CD platforms such as Jenkins and GitHub Actions.
Support data workflows and ML deployments using orchestration tools like Airflow and CI/CD for data pipelines.
Work with AI-native tooling (e.g., MCP, agent frameworks, Cursor, OpenAI, Gemini and Vertex).
Bring out-of-the-box thinking, excellent problem-solving skills, and the ability to debug complex systems.

We are looking for a brilliant and enthusiastic DevOps Engineer to join our close-knit and highly-skilled team to help expand our platform to newer heights. As a team member, you will take part in the design and implementation of our ever-evolving infrastructures, providing with smooth and robust DevOps solutions.



Roles and Responsibilities:

Build and maintain highly available and scalable production systems
Design and implement dynamic serverless cloud environments
Develop a robust, fully-automated deployment for SAAS solutions
Monitor system performance and implement optimizations for reliability and cost-efficiency
Work closely with development, security, and automation teams to foster a culture of security awareness
Research and integrate new DevOps technologies using best practices

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

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 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.