DevOps Engineer @ Pragmatic

• Experience with the core AWS services, plus the specifics mentioned in this job description.

• Good background in Linux/Unix administration.

• Experience with Docker and Kubernetes. Having used ECS or EKS, in the past is a plus.

• Proficiency in English.

• Strong notions of security best practices (e.g. using IAM Roles, KMS, etc.).

• Experience with monitoring solutions such as CloudWatch, Prometheus, and the ELK stack.

• Previous exposure to large-scale systems design.

• Ability to troubleshoot distributed systems.

• Knowledge of writing infrastructure as code (IaC) using CloudFormation or Terraform.

• Experience with building or maintaining cloud-native applications.

• Past experience with the serverless approaches using AWS Lambda is a plus. For example, the Serverless Application Model (AWS SAM).

Responsibilities:

• Analyze current technology utilized within the company and develop steps and processes to improve and expand upon them.

• Establish milestones for necessary contributions from departments and develop processes to facilitate their collaboration.

• Assist other department engineers in creating practical demonstrations of proposed solutions and demonstrating them to other members of the team.

• Provide detailed specifications for proposed solutions including materials, manpower and time necessary.

• Provide clear goals for all areas of a project and develop steps to oversee their timely execution.

• Work closely with engineering professionals within the company to maintain hardware and software needed for projects to be completed efficiently.

• Work alongside project management teams to successfully monitor progress and implementation of initiatives.

• Understand the current application infrastructure and suggest changes to it.

• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.

• Migrate our infrastructure with zero downtime to a highly available, scalable one.

• Set up a monitoring stack.

• Define service capacity planning strategies.

• Implement the application s CI/CD pipeline using the AWS CI/CD stack.

• Write infrastructure as code using CloudFormation or similar.