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Subway is seeking a Cloud Database Engineer to administer and optimize cloud database platforms across AWS and Azure, ensuring high availability, disaster recovery, and security posture at scale.
You will collaborate with development and cloud teams to design schemas, plan capacity, and drive migrations while maintaining runbooks and standards.
Ideal candidates have 5+ years of DBA experience in large enterprises, strong Terraform and Azure SQL skills, plus AI/ML driven performance optimization.
Address 1000 Northwest 57th Court, Miami, FL, 33126, US
Schedule Full time
Job Type Permanent
Industry It and internet
At Subway, we are not standing still. We are building.
This is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact.
You will not just do the work. You will shape it.
We move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world.
If you bring energy, accountability and a bias for action, you will fit right in.
We take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day.
This is your chance to be part of what's next.
This position is responsible for administering and optimizing Subway's cloud database platforms across AWS and Azure. The Cloud Database Engineer will provision and manage relational and non-relational database services, ensure high availability and disaster recovery readiness, optimize query and system performance, and enforce database security standards. They will work closely with application development, cloud engineering, and architecture teams to support Subway's data infrastructure at scale.
Responsibilities include but not limited to:
Compensation: The base pay range for this role is $XX annually
Pay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.