דרושים » הנדסה » DevOps Engineer

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 hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities:
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

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 DevOps Engineer to join our dynamic and growing team.
Job Id: 23046
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.

Join our group of DevOps engineers, where we address large-scale challenges and drive innovation through cross-organizational projects. We design scalable and resilient solutions, implement cutting-edge technologies, and optimize automation to enhance reliability and efficiency.
Our team establishes best practices, creates guidelines, and promotes a strong DevOps culture across R&D. Design, implement, and operate large-scale, complex environments, ensuring high availability, seamless scalability, and optimal performance across diverse systems.
Job Responsibilities:
Lead and contribute to cross-organization DevOps projects.
Establish and enforce best practices for DevOps and R&D teams.
Research and evaluate new tools, technologies, and methodologies to improve DevOps processes.
Develop and maintain scalable and resilient infrastructure solutions.
Build and optimize CI/CD pipelines and deployment strategies.
Work closely with R&D teams to enhance service reliability, scalability, and performance.
Responsible for Kubernetes multi-cluster lifecycle management.

we are on a mission to bring identity security everywhere - to every human, machine, and AI agent, both on-prem and in the cloud. Our unique technology secures identities & access at runtime, in ways that werent possible before. With the broadest identity security platform in the market, trusted by more than 1,000 customers including many Fortune 100 companies, we are uniquely positioned to lead the fast-growing identity security category.
Joining our company means becoming part of a fast-moving team with a culture of innovation and collaboration, that goes above and beyond to help our customers and each other, on a journey to reshape the future of identity security.
As a DevOps Engineer, youll design and implement a full CI/CD solution on AWS and Azure with Kubernetes, while supporting and scaling our cloud infrastructure using Infrastructure as Code.
Responsibilities
Design and implement robust, scalable, and highly available cloud solutions to ensure seamless service delivery and support rapid business growth
Focus on cross-service integrations and components within the SaaS stack, adhering to DevOps best practices
Develop, enhance, and maintain CI/CD pipelines using a GitOps-driven approach, ensuring efficient and secure deployment workflows
Streamline processes through automation, focusing on scalability, security, metric collection, and enhanced visibility across environments
Partner with developers to optimize service reliability, performance, failover strategies, and scalability
Work as part of an innovative and high-performing team, leveraging modern tools and technologies.

As a Senior DevOps Engineer supporting our Cortex Research Group, you will lead all DevOps and infrastructure initiatives that empower our researchers to move quickly, securely, and reliably. You will be responsible for designing, building, and maintaining the groups cloud environments, ensuring scalability, stability, and performance across a wide range of experimental and production workloads. Youll serve as the primary point of contact between the Research Group and other critical stakeholders-including Security, Networking, and Compliance teams-ensuring that research projects align with organizational standards while still enabling rapid innovation.
Key Responsibilities
Own and evolve the Research Groups cloud infrastructure and CI/CD pipelines to enable reproducible, automated, and scalable experimentation.
Define and implement standards for infrastructure-as-code, observability, monitoring, and resource optimization tailored to research use cases.
Proactively collaborate with security and compliance teams to enforce best practices for data governance, access controls, and regulatory requirements.
Partner with networking and platform engineers to integrate research workloads into the broader company ecosystem, ensuring seamless operation.
Serve as the primary technical liaison between the Research Group and stakeholders like Security, Networking, and Platform teams.
Mentor engineers and researchers on DevOps best practices, helping to instill a culture of operational excellence and applied learning.

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 Engineer, 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.

As a DevOps Engineer, you won't just "maintain" infrastructure, you will own it.
You will lead the charge in cloud security automation, using an AI-first mindset to drive extreme efficiency. Your mission is to identify, rectify, and prevent misconfigurations and bottlenecks in advance. You are expected to operate with high autonomy, shaping the future of secure cloud environments by being a proactive force, not a reactive one.
Key Responsibilities:
Innovate & Implement:Design and implement cloud infrastructure solutions with a focus on GCP, including compute reservations, BigQuery, Pub/Sub, GCS, and networking.
Release Engineering: Lead weekly production upgrade cycles across global multi-region environments, including branch-out processes, hotfix management, version gating, and rollback procedures.
Service Deployment & Lifecycle: Own end-to-end service deployments on Kubernetes - from Helm chart creation and Flux/GitOps configuration to production rollout and scaling.
Database Administration:Manage and optimize database infrastructure including MySQL, Redis, BigQuery, Neo4j, Scylla, MongoDB, and PostgreSQL in production environments.
AI Integration: Utilize AI-supporting tools to optimize coding, automate repetitive tasks, and solve complex architectural puzzles. Contribute to AI-native infrastructure such as Vertex AI and AI Gateway services.
Tenant & Customer Infrastructure: Manage customer-specific infrastructure including dedicated compute reservations, tenant provisioning, licensing configuration, and feature flag management across multi-tenant and single-tenant environments.
Infrastructure Automation & Tooling:Develop internal CLI tools and automation scripts (Python) to streamline operations.
Cost Optimization: Drive cloud cost optimization through resource right-sizing, reservation management, database disk reduction, and efficiency improvements.
Service Reliability: Enhance uptime by establishing SLAs, setting up comprehensive monitoring (Prometheus, Grafana, Stackdriver), and participating in the production on-call rotation (including off-hours support).