Sr AWS DevOps Engineer
oorwin
Job Description
- Apache Kafka Fundamentals: Deep understanding of Kafka architecture, including brokers, topics, partitions, producers, consumers, and ZooKeeper.
- Amazon MSK Management: Ability to provision, configure, and manage MSK clusters using the AWS console or CLI, including setting up VPCs, security groups, and encryption.
- Real-time Streaming: Expertise in designing high-throughput, low-latency, and fault-tolerant data pipelines. Kafka Connect & Streams: Knowledge of Kafka Connect for integrating with data sources (e.g., S3, Databases) and Kafka Streams API for processing real-time data.
- Kafka Fundamentals (Confluent Cloud)
- Internal Developer Portal (Backstage)
- AWS Cloud Infrastructure & Services
- Infrastructure as Code (Terraform)
- CI/CD Pipeline Automation
- DevOps & Infrastructure Automation
- Containerization & Kubernetes (Docker, Amazon EKS)
- Configuration Management (Ansible)
- Machine Image Automation (HashiCorp Packer)
- Monitoring & Observability (Rancher, Prometheus, Grafana)
- Centralized Logging & Analytics (Elasticsearch, Kibana)
- Linux Administration & Shell Scripting
- Windows Administration & Powershell Scripting