AmazonDatabase Engineer, AWS DMS
Amazon is hiring a Database Engineer, AWS DMS for a remote role open to applicants in United States. It pays $125k-$169k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions AWS Dms, PostgreSQL and Oracle among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Diagnose complex database migration and replication issues as an AWS DMS Database Engineer.
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. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 124,700.00 - 168,800.00 USD annually
How we rate this
Database Engineer, AWS DMS at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where database internals was part of your work. What did you do?
- Tell me about a project where troubleshooting was part of your work. What did you do?
- Tell me about a project where replication was part of your work. What did you do?
- Tell me about a project where change data capture was part of your work. What did you do?
- Walk me through how you've used AWS Dms in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Database Internals, Troubleshooting, Replication, Change Data Capture, and AWS Dms. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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