Kafka Engineer

Part of a team that designs, implements, and maintains DevOps resources for multiple product teams and enables teams to automate build and deployment where possible. The ideal candidate is a self-starter who has a deep understanding of the needed technologies and the initiative to learn new skills.

The System Engineer will be responsible for:

• Developing Infrastructure As Code and scripting to automate tasks, provision managed services, and build tools. Popular programming languages for DevOps engineers include Terraform, Ansible, and Python.
• Install, configure, and provide performance tuning utilizing: Kubernetes and cloud native logging and metrics collection tools (i.e. Elasticsearch, Grafana/Prometheus).
• Managing Gitlab CI/CD pipelines to automate building, testing, and deploying code utilizing GitLab runners and Argo CD.
• Managing commercial cloud computing platforms (AWS).
• Communication and collaboration: DevOps is a team-oriented discipline. Engineers need to be able to communicate and collaborate effectively with other team members, as well as with stakeholders.

Desired skills:

• Develop and manage Gitlab CI/CD pipelines to automate deployment processes
• Design, build, and maintain AWS infrastructure including but not limited to EC2, Lambdas, EKS, RDS, S3, EFS, EBS, using Terraform and auto scaling.
• Collaborate with development teams to optimize application performance and reliability.
• Troubleshoot infrastructure issues and ensure system uptime.
• Kubernetes experience with a focus on EKS.
• Familiarity with FOSS tools such as Elasticsearch, Prometheus, Grafana, PGAdmin, etc. that can be installed in Kubernetes via helm chart.
• Familiarity with various Kubernetes storage class types such as GP3, Longhorn, EBS, etc.

For applications and inquiries,