DevOps Engineer

• Infrastructure Management: Provision, maintain, and upgrade AWS and EKS infrastructure using tools like kubectl, Kustomize, and Helm.
• Automation & IaC: Develop and document reusable Terraform and Terragrunt modules to automate deployments, backups, and routine maintenance.
• CI/CD & Git Ops: Build and refine CI/CD pipelines using Git Hub Actions and Git Ops workflows, specifically leveraging ArgoCD (including app-of-apps and Application Sets).
• Monitoring & Reliability: Monitor performance and logs via Data Dog and AWS Cloud Watch, troubleshoot incidents, and take full ownership of the long-term reliability of the systems you build.
• Data Platform Support: Support data engineers by operating and improving data platforms or data-adjacent infrastructure (e.g., Airflow/MWAA, SQLMesh) in production environments.
• Streaming Systems: Support and maintain streaming or real-time data systems to ensure consistent data flow and system uptime.
• Cost Optimization: Analyze cloud spend using AWS Cost Explorer and Infracost to identify waste and implement cost-saving measures.
• Operational Support: Assist developers with daily operational needs and maintain security/RBAC and resource efficiency within Kubernetes environments.

As a Dev Ops Engineer, you are responsible for maintaining and optimizing our AWS and Kubernetes infrastructure to ensure high reliability, security, and scalability. You will focus on driving cost efficiency, accelerating deployment cycles for developers, and piloting emerging tools that deliver measurable value to the organization.

Technical Requirements

• Kubernetes: Production-level experience with EKS, including Helm and Kustomize.
• Infrastructure as Code: Proficiency in Terraform and Terragrunt.
• Cloud & Data Systems: Hands-on experience with the AWS Ecosystem (EC2, ECR, RDS, MSK) and experience operating production data platforms or streaming systems.
• Git Ops: Proven experience with ArgoCD and Git Hub Actions automation.
• Tools: Familiarity with Data Dog, Mongo
  
  DB, and AI-assisted tools like Claude CLI or Git Hub Copilot.

Attributes: An intrinsic desire to learn and fill in missing skills, with a proactive approach to conducting proof-of-concepts for new Dev Ops practices.