Senior Cloud Systems Engineer

LendingTreeCharlotte, NC
104d

About The Position

We are seeking a Senior Cloud Systems Engineer to join our operations team. This individual will be responsible for designing, developing, and maintaining automation solutions across AWS, Azure, and database systems. A key part of the role is building automation around implementations and CI/CD pipelines for both application code and data — enabling earlier testing, validation, and deployment (“shift-left”) for our development and data teams. The ideal candidate will have strong programming skills (particularly in Python and C#) and experience building scalable automation that improves reliability, speed, and consistency across infrastructure.

Requirements

  • Proficiency in Python and C# for automation and tooling development.
  • Hands-on experience with AWS (EC2, S3, RDS, Lambda, IAM, CloudWatch, etc.) and Azure (VMs, Azure SQL, Functions, ARM/Bicep, etc.).
  • Strong experience with Infrastructure-as-Code (Terraform, CloudFormation, or ARM templates).
  • Familiarity with CI/CD pipelines and integrating automation into build and deployment workflows.
  • Experience with database systems (SQL Server, PostgreSQL, MySQL, or NoSQL equivalents) including automation of operational tasks.
  • Solid understanding of networking, security, and monitoring in cloud environments.
  • Strong problem-solving and troubleshooting skills.

Nice To Haves

  • Experience with container orchestration (Kubernetes, ECS, or AKS).
  • Exposure to secrets management and automation security practices.
  • Background in operational monitoring and observability tooling (e.g., OpenTelemetry, Prometheus, ELK).
  • Prior experience in a DevOps, infrastructure, or SRE role.

Responsibilities

  • Develop and maintain automation scripts, tools, and workflows for AWS and Azure environments.
  • Build automation around implementations and CI/CD pipelines for both application code and data, enabling earlier testing, validation, and deployment (“shift-left”) for development and data teams.
  • Implement and manage automation for database operations (backups, replication, patching, performance tuning, failover).
  • Ensure infrastructure-as-code best practices are followed using tools such as Terraform, CloudFormation, or ARM/Bicep templates.
  • Troubleshoot operational issues and design automated solutions for recurring problems.
  • Document automation frameworks and processes for long-term maintainability.
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