The Technology Division seeks a Cloud Database Reliability Engineer to design, build, and evolve automated database infrastructure for our cloud-native enterprise platform supporting mission-critical applications.
You’ll work with a collaborative team of database professionals to create
self-service tooling and reusable infrastructure that enables development
teams to move faster while maintaining enterprise-grade reliability and security.
This role emphasizes automation, infrastructure-as-code, and building platforms
that scale.
- RESPONSIBILITIESDesign and implement infrastructure-as-code (AWS CDK) for AWS RDS database infrastructure (Oracle and Postgres), focusing on automation, repeatability, and self-service capabilities
- Build and maintain automated solutions for database provisioning, patching, backup/recovery, monitoring, and lifecycle management
- Build and maintain GitLab CI/CD pipelines and tooling that enable developers and DBAs to perform routine database operations safely and independently
- Collaborate with DevOps and SysOps teams 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 FinOps principles while maintaining performance and reliability standards
- Participate in incident response and troubleshooting for database infrastructure issues (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
- REQUIRED QUALIFICATIONS5+ years experience with AWS cloud infrastructure, including hands-on work with RDS database services
- Strong experience with Infrastructure-as-Code tools (AWS CDK or CloudFormation preferred; Terraform acceptable)
- Demonstrated experience building CI/CD pipelines using GitLab or similar tools
- Strong scripting skills in Python or TypeScript for automation (proficiency in both is a plus)
- Solid understanding of relational database concepts and production experience with either Oracle or Postgres (experience with both is a plus)
- Experience with AWS IAM, VPC networking, and security best practices
- Strong problem-solving skills and ability to work collaboratively across teams
- Able to work independently with minimal supervision in a collaborative team environment
- PREFERRED QUALIFICATIONSAWS certifications (Solutions Architect, Database Specialty, or DevOps)
- Experience with AWS Lambda for serverless automation
- Familiarity with database migration tools and strategies
- Knowledge of GitOps workflows and declarative configuration management
- Experience with monitoring and observability tools (AWS CloudWatch, Grafana, OpenSearch)
- Background in traditional DBA work with transition to cloud/automation
- Experience with FinOps or cloud cost optimization initiatives
- EXPERIENCE & EDUCATIONBachelor’s degree in Computer Science, Information Systems, or related technical field (or equivalent combination of education and experience)
- 5+ years of progressive experience in cloud infrastructure, database administration, or platform engineering roles
- Demonstrated track record of delivering automation and infrastructure solutions in production environments
- Experience working in Agile/collaborative team environments
- Experience in regulated industries, accounting, or government environments
CANDIDATE SCREENING PRIORITY
MUST HAVE (Do not submit without these):
- AWS RDS hands-on experience (not just studied it)
- Can code/script for automation (not just GUI users)
STRONG PREFERENCE (Rate candidates on these):
- GitLab CI/CD specifically
- AWS CDK specifically
- Either Oracle or Postgres production experience
DO NOT PRIORITIZE:
- Years at one company (we value diverse experience)
- Big tech company names (we value practical skills)
- Certifications over hands-on experience
RED FLAGS (Do not submit):
- Only on-prem database experience (no cloud)
- Purely operational DBA (no automation/coding)
- Resume shows no evidence of building tooling/pipelines