Database Engineer, AWS DMS

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.

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

Our 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