
- מיקום
- כל הארץ
- היקף משרה
- משרה מלאה
- תפקיד
- מהנדס/ת DevOps
תיאור המשרה
global leader in performance marketing, is looking for a talented DevOps Engineer to join us on our mission to simplify decision-making for millions%21
What You%27ll Do
Responsibilities
- Design, own, and evolve DevOps tooling, CI/CD architecture, and infrastructure automation strategies across multi-cloud environments %28AWS & GCP%29, supporting high-performance, resilient production systems.
- Manage Kubernetes clusters %28EKS, GKE%29 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 %28e.g., MCP, agent frameworks, Cursor, OpenAI, Gemini and Vertex%29.
- Bring out-of-the-box thinking, excellent problem-solving skills, and the ability to debug complex systems.
Requirements
- 3+ years of hands-on experience with AWS in production environments, with strong working knowledge of Linux-based systems for deployment, debugging, and automation.
- 3+ years of DevOps experience supporting production-grade systems with high availability, scalability, and operational reliability.
- Strong expertise in Kubernetes-based orchestration %28EKS, KOps, GKE%29.
- Extensive experience with CI/CD tools such as Git, GitHub, Jenkins, GitHub Actions, and Nexus.
- Proficiency in scripting/programming languages, including Bash, Python, or Groovy, for automating infrastructure and pipelines.
- Experience with Infrastructure as Code %28IaC%29 tools like Terraform and CloudFormation.
- Experience with logging, metrics, and observability stacks, such as Datadog, Telegraf, Elasticsearch, Kibana, Prometheus, and Grafana.
- Ability to troubleshoot and debug complex, distributed systems across multiple cloud environments.
- Only candidates meeting the above requirements will be considered.