Amazon Web Services, Inc.
Technology
DatabaseEngineer,AWSDMS
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Database Engineer, AWS DMS at Amazon Web Services, Inc.. Skills: Database internals, Replication technologies, Customer-facing problem solving. Leverage deep expertise in database internals. Diagnose and resolve complex production issues”
What You'll Achieve.
Simplify migration journey; Reduce manual investigation effort; Resolve issues independently; Drive efficiencies; Reduce crashes; Close security gaps; Make migrations reliable
Industry & Context.
Diagnose complex issues; Resolve complex issues; Investigate problems; Resolve problems; Troubleshooting; Debugging; Root cause analysis; Problem diagnosis
What They're Looking For.
Must Have
Bachelor's degree in computer science, engineering, mathematics or equivalent, 4+ years of relational database technology experience, Experience with at least one scripting language, Experience with a procedural language for at least one database, Bachelor's degree in computer science or equivalent, Experience in any Bigdata architecture, Experience that includes analytical skills, Experience that includes attention to detail, Experience that includes effective communication abilities, Experience in Linux/RHEL
Nice to Have
Knowledge of database design and implementation, Experience with general troubleshooting/debugging of hardware, Experience debugging, profiling, and implementing best software engineering practices in large-scale systems, Experience with automation, Experience with any version control tools, Experience with threat modeling, Experience with penetration testing, Experience in SQL Server/MySQL, Experience in automating, deploying, and supporting large-scale infrastructure
What You'll Do.
Leverage deep expertise in database internals
Diagnose and resolve complex production issues
Investigate and resolve customer-facing database problems
and diagnostic scripts
Accelerate troubleshooting
Reduce manual investigation effort
Apply knowledge of database replication technologies
Guide customers through migration and replication challenges
Collaborate with SDEs on root cause analysis
Read and reason about C/C++ or Java code
Trace failures from customer symptoms to code-level defects
Operate within the AWS ecosystem
Investigate issues end-to-end
Document complex technical findings clearly
Write root cause analyses
Write knowledge base articles
Design and code solutions
Help team drive efficiencies
Implement improvements
Resolve root cause of software defects
Build high-impact solutions
Deliver to large customer base
Participate in design discussions
Participate in code review
Communicate with internal and external stakeholders
Work cross-functionally
Help drive business decisions
Take ownership of complex system
Make system better every release
Make migrations reliable
How You'll Work.
Team & Collaboration
Partner with software engineers; Partner with field engineers; Collaborate with SDEs; Communicate with stakeholders; Work cross-functionally; Knowledge-sharing environment; Mentorship
Communication Scope
Technical documentation; Root cause analyses; Runbooks; Knowledge base articles
Process & Methodology
Agile
Full Job Description
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
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