As a DMS Database Engineer, you are the front line for customer success. You are a builder and partner with the software engineers in building features to simplify the migration journey for customers. You partner with field engineers in learning customer pain points and diagnosing complex replication and migration failures, and guide customers through production incidents involving CDC, schema migration, and data validation across heterogeneous database engines. You work at the intersection of deep database internals knowledge and customer-facing problem solving - turning ambiguous production failures into root causes and fixes.
Key job responsibilities
Leverage deep expertise in database internals (storage engines, transaction logs, replication mechanisms, query optimization) across PostgreSQL, Oracle, SQL Server, MySQL, or DB2 to diagnose and resolve complex production issues.
Investigate and resolve customer-facing database problems including performance degradation, data corruption, replication lag, CDC failures, and schema migration edge cases.
Build automation, log analysis tools, and diagnostic scripts using SQL and scripting languages (Python, Bash, Perl) to accelerate troubleshooting and reduce manual investigation effort.
Apply knowledge of database replication technologies - CDC (Change Data Capture), logical replication, log-based capture, and data validation - to guide customers through migration and replication challenges.
Collaborate with SDEs on root cause analysis by reading and reasoning about C/C++ or Java code in the DMS replication engine to trace failures from customer symptoms to code-level defects.
Operate within the AWS ecosystem (RDS, Aurora, DMS, Redshift, S3, CloudWatch) to investigate issues end-to-end across infrastructure, networking, and database layers.
Document complex technical findings clearly — writing root cause analyses, runbooks, and knowledge base articles that enable support teams, engineering peers, and customers to resolve issues independently.
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects.
You’ll also:
Build high-impact solutions to deliver to our large customer base.
Participate in design discussions, code review, and communicate with internal and external stakeholders.
Work cross-functionally to help drive business decisions with your technical input.
Work in a startup-like development environment, where you’re always working on the most important stuff.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
The DMS engine team operates across US, Dublin, and Poland. We're a team that takes ownership of a complex system and makes it better every release - reducing crashes, closing security gaps, and making migrations reliable enough that customers don't need our help to succeed. We leverage AI extensively: from autonomous bug-fixing to an on-call agent that cuts troubleshooting time dramatically.
BASIC QUALIFICATIONS
- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience with database administration
- 4+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- Experience with at least one scripting language (shell, Python, Perl) and a procedural language for at least one database (PL/SQL, T-SQL etc.)
- Bachelor's degree in computer science or equivalent
- Experience in any Bigdata architecture, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience in Linux/RHEL
PREFERRED QUALIFICATIONS
- Knowledge of database design and implementation or equivalent
- Experience with general troubleshooting/debugging of hardware, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems
- Experience with automation and any version control tools, or experience with threat modeling and penetration testing and experience in SQL Server/MySQL
- Experience in automating, deploying, and supporting large-scale infrastructure
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
