דרושים » מחשבים ורשתות » DevOps Engineer - GCP /Kubernetes

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 a hands-on DevOps Team Lead to take ownership of our infrastructure, DevOps practices, and automation pipelines.
You will be the technical and operational lead for a small but growing DevOps team, driving reliability, scalability, and security across our cloud environments.
In this role, you will split your time between leading and mentoring the team, designing and evolving infrastructure, and implementing solutions.
What Youll Do
Lead, mentor, and grow the DevOps team.
Define and enforce DevOps best practices across infrastructure, CI/CD, and security.
Manage the SeaPod Lab environment for developer and test usage.
Operate and evolve the SeaPod Server Linux infrastructure, deployed at scale worldwide, handling complex connectivity and security.
Maintain consistent baselines, update tools, and ensure fleet-wide monitoring and support.
Design, manage, and evolve AWS infrastructure (VPC, IAM, networking, RDS, EKS, etc.).
Operate and upgrade Kubernetes/EKS clusters, manage Helm charts, operators, and custom resources.
Define namespace policies, quotas, and resource allocations.
Drive security, compliance, and cost optimization.
Maintain and enhance GitLab CI pipelines for multiple workloads (Lambda, EKS, EC2, etc.).
Integrate testing, linting, and vulnerability scans into CI/CD workflows.
Build reusable pipeline components for microservices.
Own monitoring and alerting strategies (Grafana, CloudWatch, Coralogix, Prometheus).
Operate and tune PostgreSQL (RDS, Aurora) and manage backups/restores.
Manage distributed tracing. Lead upgrade from Fluentd → OpenTelemetry.
Architect and deploy serverless solutions (Lambda, DynamoDB, API Gateway).
Integrate with event-driven services (SNS/SQS, Kinesis, RDS Proxy).
Manage IAM roles/policies, secrets, and security posture.