E Cloud Engineer - Container Platforms Eliassen Group

Hybrid 2-3 days in office/week in St. Louis, MO

Our client seeks a Cloud Database Reliability Engineer to design, build, and evolve automated database infrastructure for a cloud-native enterprise platform supporting mission-critical applications. You will partner with database professionals to deliver self-service tooling and reusable infrastructure that enables development teams to move faster while maintaining reliability and security. The role emphasizes automation, infrastructure-as-code, and scalable platforms.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes:

• Medical, Dental, and Vision benefits
• 401k with company matching
• life insurance

Rate: $80.00 to $110.00/hr. w2

Job Description

Job Description

• Design and implement infrastructure-as-code using AWS CDK for AWS RDS infrastructure across Oracle and Postgres with automation, repeatability, and self-service capabilities.
• Build and maintain automated solutions for database provisioning, patching, backup and recovery, monitoring, and lifecycle management.
• Develop and maintain Git Lab CI/CD pipelines and tooling to enable developers and DBAs to perform routine database operations safely and independently.
• Collaborate with Dev Ops and Sys Ops to implement database security best practices including encryption, IAM policies, and access controls.
• Support long-term database migration initiatives through tooling, automation, and infrastructure improvements.
• Optimize database infrastructure costs using Fin Ops principles while maintaining performance and reliability standards.
• Participate in incident response and troubleshooting for database infrastructure issues with limited on-call.
• Mentor team members on cloud database best practices, automation techniques, and AWS services.
• Stay current with AWS database services and emerging technologies to continuously improve platform capabilities.

• 5+ years of experience with AWS cloud infrastructure and hands-on AWS RDS.
• Strong experience with infrastructure-as-code tools (AWS CDK or Cloud Formation preferred; Terraform acceptable).
• Demonstrated experience building CI/CD pipelines using Git Lab or similar tools.
• Scripting skills in Python or Type Script for automation.
• Production experience with Oracle or Postgres and solid understanding of relational database concepts.
• Experience with AWS IAM, VPC networking, and security best practices.
• Ability to solve problems and work collaboratively across teams.
• Ability to work independently with minimal supervision.
• Preferred: AWS certifications, AWS Lambda, database migration tools, Git Ops workflows, monitoring and observability tools (Cloud Watch, Grafana, Open Search), DBA background transitioning to cloud and automation, and Fin Ops experience.

• Bachelor's degree in Computer Science, Information Systems, or related field, or an equivalent combination of education and experience.
• 5+ years of progressive experience in cloud infrastructure, database administration, or platform engineering with a track record of delivering automation and infrastructure solutions in production and experience in Agile environments. Experience in regulated industries, accounting, or government environments.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position.

All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and…