Cloud Native DevOps Engineer
3 weeks ago
Key Responsibilities :
As a Cloud Native DevOps Engineer at Talentxo, you will work closely with development teams to implement and automate systems and architectures. Your primary focus will be on driving automation efforts across the organization, utilizing containerized deployment on Kubernetes. You will also be responsible for automating deployment using promotion pipelines across multiple environments with Spinnaker. Additionally, you will deploy and maintain stateful services on Kubernetes, including databases, Kafka, and Elasticsearch in non-production environments.
Monitoring and Maintenance :
You will be responsible for setting up and maintaining monitoring of systems via Prometheus and Grafana to stay on top of all production systems. Furthermore, you will go one step further with automated healing.
Tools and Technologies :
You will work with configuration management and Continuous Integration/Continuous Delivery (CI/CD) tools such as Jenkins. You will also develop and maintain scalable architecture solutions using Cloud Providers such as AWS. Your task will be to optimize AWS usage to get maximum cost benefit from the deployed resources.
Requirements :
- 4-6 years of relevant experience.
- We are cloud and container native, in-depth understanding of containerization technologies like Docker and Kubernetes is a must.
- Experience with production workloads on AWS is mandatory.
- Experience with scripting with Python, Bash, etc.
- Good understanding of Security and Security practices.
- Experience with Spinnaker for automated deployments.
- Experience with maintaining and tuning SQL and NoSQL stores like Postgres, MySQL, and Elasticsearch.
- Experience with monitoring solutions like CloudWatch, NewRelic, Prometheus, and Grafana.
Collaboration :
You will work alongside product architecture teams to make recommendations on DevOps practices. You will also collaborate with your peers as a subject matter expert on cloud, containers, virtualization technologies, automation, and DevOps.
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