DevOps Engineer – Data Platforms

Wingstop

About The Position

We’re looking for a DevOps Engineer – Data Platforms who designs and operates data infrastructure as a scalable, automated platform — not a manually managed system. This role sits at the intersection of DevOps, cloud infrastructure, and application engineering, with deep ownership of PostgreSQL data platforms running on AWS Aurora. You’ll define how data persistence is built, deployed, evolved, and operated across the organization, enabling teams to move fast without compromising reliability or data integrity. You’ll be hands-on and highly influential — automating change, guiding schema evolution, optimizing performance, and setting platform standards that scale with the business. If you believe data platforms should be boring in production, automated by default, and engineered for change, this role is for you.

Requirements

8+ years of experience building and operating PostgreSQL-based data platforms in production
Strong hands-on experience with AWS Aurora PostgreSQL
Deep expertise in PostgreSQL internals, performance tuning, and indexing strategies
Proven experience executing live schema changes and migrations with minimal or zero downtime
Experience operating in DevOps and platform engineering environments, not siloed database teams
Strong understanding of automation, CI/CD, and infrastructure-as-code principles
Ability to troubleshoot complex data and performance issues under production pressure
Excellent communication skills, with the ability to influence architecture and platform decisions across teams

Nice To Haves

Experience supporting high-growth, high-traffic systems
Familiarity with data security, auditing, and compliance best practices
A platform mindset — enabling teams rather than becoming a bottleneck
Passion for mentoring engineers on data modeling, performance, and safe change patterns

Responsibilities

Own and operate PostgreSQL and Aurora PostgreSQL platforms across development, staging, and production
Ensure availability, durability, performance, security, and recoverability of data services
Build and evolve database-as-a-platform capabilities that enable safe, repeatable change
Design and support CI/CD-driven database workflows, including schema migrations, validations, and rollbacks
Partner with DevOps and Platform Engineering teams to align data platforms with cloud and infrastructure standards
Collaborate with application engineers on schema design, indexing strategies, and data modeling
Lead and support zero/low-downtime schema changes using backward-compatible patterns
Establish engineerining standards that make data models easy to evolve without disrupting production systems
Proactively monitor and tune database performance through query optimization, indexing, vacuum tuning, and configuration
Build dashboards, alerts, and capacity plans to keep systems ahead of growth
Participate in incident response and post-incident remediation focused on long-term platform resilience
Work directly with engineering teams to diagnose and resolve application-level data and performance issues
Provide guidance on efficient query patterns, transaction management, and data access strategies
Contribute SQL, functions, views, and supporting utilities when needed to enable safe production operations
Design and manage backup, replication, failover, and disaster recovery strategies in AWS
Ensure best practices around access control, encryption, auditing, and compliance for data platforms

Benefits

Unlimited paid time off for exempt employees
One paid volunteer day of your choice
Competitive bonus structure for eligible roles
Team member stock purchase plan
Health savings or flexible spending account options
401k – (dollar for dollar on the first 3% and then 50 cents on the dollar for the next 2% for team member contributions up to 5% of eligible compensation)
Comprehensive medical, dental, and vision benefits
Basic life and AD&D insurance provided
Pet insurance
Education Assistance
Wellness reimbursement program
Paid maternity and paternity leave