Bosch is looking for a Mid-level Site Reliability Engineer based in Curitiba, PR, Brazil, to support and maintain Kubernetes clusters, cloud-based applications, and Databricks environments. The role involves developing automation scripts, deploying and managing containerized applications on AWS, Azure or GCP, collaborating with cross-functional teams, monitoring infrastructure with Grafana and Prometheus, troubleshooting Kubernetes and data pipeline issues, and contributing to the design of scalable, secure cloud-native solutions. Bosch offers a hybrid work model, full-time employment, and a comprehensive benefits package.
Mid-level Site Reliability Engineer (31693) at Bosch
Hybrid - Curitiba, PR
Requirements
Education
- Bachelor's degree in Electrical Engineering
- Bachelor's degree in Software Engineering
- Bachelor's degree in IT
- Bachelor's degree in Automation
- Bachelor's degree in Industrial Engineering
Experience
- Experience with Kubernetes and container orchestration
- Hands-on experience with Databricks or similar big data platforms
- Experience with cloud platforms such as AWS, Azure, or GCP
- Practical experience with containerized applications using Docker
- Experience with CI/CD pipelines and Infrastructure as Code (Terraform, Ansible, etc.)
Skills
- Strong scripting skills in Python, Bash, or similar languages
- Strong troubleshooting and collaborative skills in cross-functional teams
- Effective communication skills in English (spoken and written)
- Proficiency in monitoring with Grafana, Prometheus, or similar tools
- Familiarity with Apache Kafka for real-time event processing and integration
Languages
- English
Responsibilities
- Provide support and maintenance for Kubernetes clusters, cloud-based applications, and Databricks environments
- Develop and implement automation scripts and tools to enhance operational efficiency
- Deploy, monitor, and manage containerized applications using Docker on cloud platforms (AWS, Azure, or GCP)
- Collaborate with development and operations teams to ensure high performance and scalability of systems
- Monitor infrastructure using tools like Grafana and Prometheus to ensure high availability
- Troubleshoot issues related to Kubernetes environments, data pipelines, and distributed applications
- Participate in the design of scalable, resilient, and secure cloud-native solutions
- Contribute to continuous improvement initiatives and knowledge sharing within the team
Technologies
KubernetesDatabricksPythonBashAWSAzureGCPDockerGrafanaPrometheusTerraformAnsibleApache Kafka
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