Senior DevOps Engineer
Zyte
Job highlights
Summary
Join Zyte's Infrastructure Team as a DevOps Engineer and play a pivotal role in creating solutions that streamline development, deployment, and maintenance processes. You will work with Kubernetes, Helm, Terraform, Prometheus, and Grafana, scaling and enhancing our robust tech stack. Responsibilities include architecting, deploying, and managing Kubernetes clusters, developing IaC solutions, automating processes using Python, implementing observability, and collaborating with teams to optimize infrastructure. The ideal candidate possesses extensive hands-on experience with Kubernetes, proficiency in IaC tools, strong scripting skills in Python, and a deep understanding of observability and monitoring tools. Zyte offers remote work flexibility, opportunities to work with cutting-edge open-source technologies, allocated hours for open-source contributions, and 35 days of paid time off.
Requirements
- Extensive hands-on experience with Kubernetes in both cloud-managed and self-managed (on-prem) environments
- Proficiency in IaC tools such as Terraform and expertise in managing Kubernetes application deployments with Helm Charts
- Strong scripting skills in Python, with a focus on automation for infrastructure and deployment workflows
- Deep understanding of observability and monitoring tools, including but not limited to Prometheus, Grafana, and Elasticsearch
- Demonstrated experience with public cloud providers, especially GCP and/or OCI
- Solid understanding of CI/CD pipelines and best practices for modern software delivery
- Strong analytical and problem-solving abilities with a detail-oriented mindset
Responsibilities
- Architect, deploy, and manage Kubernetes clusters, both in managed cloud environments (e.g., GKE) and self-hosted on-premises setups
- Develop and maintain Infrastructure as Code (IaC) solutions using tools such as Terraform and Helm Charts for efficient and consistent deployments
- Automate provisioning, de-provisioning, and deployment processes using Python and establish robust CI/CD pipelines
- Implement and enhance observability with tools like OpenTelemtry, Prometheus, and Grafana to ensure optimal system monitoring and troubleshooting
- Collaborate with development and operations teams to optimize infrastructure in Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI) environments
- Proactively identify opportunities to improve performance, reliability, and scalability across all layers of the infrastructure
Preferred Qualifications
- Proven experience with automation, CI/CD pipelines, and managing large-scale infrastructure
- Strong proficiency in cloud platforms, Kubernetes, and Terraform
- Passion for Open Source and collaborative development
- Ability to handle challenges in dynamic environments with a problem-solving mindset
Benefits
- Have the freedom & flexibility to work remotely
- Get the chance to work with cutting-edge open source technologies and tools
- Allocated hours for Open Source contributions
- 35 paid time off per year
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