DevOps Engineer

About the position

Kaseya is seeking a dynamic and enthusiastic DevOps Engineer to join our cutting-edge engineering team. As a DevOps Engineer, you will be at the forefront of driving continuous integration, delivery, and deployment practices, empowering our software developers to deliver high-quality IT management solutions faster than ever before.

Responsibilities

• Create and maintain automated solutions spanning the code management, build, package, deploy, and delivery functions of DevOps.
• Manage the day-to-day usage and provisioning of cloud and hybrid resources based on the project needs using Infrastructure as Code.
• Ensure performance and availability of data infrastructure through Proactive monitoring initiatives.
• Be part of an on-call rotation team to manage and restore any service related issues.
• Build deployment automation with configuration as code to provision data cloud services/infrastructure.
• Proactive monitor infrastructure costs and find ways to optimize/reduce infra.
• Adopt engineering best practices to deliver higher quality and scalable solutions.
• Stay abreast of emerging DevOps and Data technologies/tools.

Requirements

• 5 years' experience working with and deploying solutions using AWS.
• Experience writing infrastructure-as-code using tools such as CloudFormation or Terraform.
• Experience maintaining continuous integration and deployment pipelines.
• Understanding of technical architecture and design, theories, and best practices in a broad range of deployment, management, and operating scalable, highly available, and fault-tolerant systems.
• Demonstrated experience with Continuous Integration/Continuous delivery using GitHub and Gitlab.
• Contribution to open-source software.
• Work related blog or GitHub account details.
• Experience with Scripting languages including Python and Shell Scripts.
• Experience with logging tools like: Kibana, Elasticsearch, OpenSearch.
• Experience supporting containerized and serverless deployments using Docker, ECS, K8s, or Lambda.
• Experience with monitoring tools like Datadog, CloudWatch and Grafana.
• Experience working with AWS RDS (both MySQL and PostgreSQL).
• On Call rotation experience using tools like OpsGenie or PagerDuty.
• Experience with Incident management which includes troubleshooting, resolution and creating postmortems/RCAs.
• Data Warehousing and ETL using Snowflake and Airflow or similar.