Sr. Software Development Engineer, AWS DMS

Sr. Software Development Engineer, AWS DMS

AWS Database Migration Service (DMS) has migrated more than 1.5 million database workloads to AWS, helping enterprises move from commercial databases (Oracle, SQL Server, DB2) to open-source Amazon Aurora and RDS (PostgreSQL, MySQL). The service is used by customers across the world to migrate their most important data from their on premises datacenters to Amazon services. Our customers depend on our services' reliability and security to handle their business data. More information on AWS DMS is available at

Key job responsibilities

• Lead the design and implementation of complex features and improvements in the DMS replication engine, spanning C/C++ (current engine) and Java (next generation service).
• Drive technical strategy for one or more database endpoint areas (PostgreSQL, Oracle, SQL Server, MySQL), making architecture decisions that improve reliability, performance, and security for the entire customer fleet.
• Own and reduce systemic quality issues - task crashes, memory corruption, data validation failures - through root cause analysis, systematic fixes, and improved testing infrastructure.
• Design and deliver security remediations within SLA, including vulnerability fixes, credential exposure prevention, and secure dependency management.
• Lead the design and expansion of automated test coverage, including combinatorial testing that exercises millions of parameter combinations across heterogeneous migration paths.
• Mentor SDE1s and SDE2s through code reviews, design guidance, and pairing on complex debugging. Raise the technical bar across the team.
• Drive adoption of AI powered engineering practices - autonomous bug detection, AI assisted debugging, automated test generation - to multiply team effectiveness with constrained headcount.
• Collaborate with Principal Engineers on long term architecture decisions, deprecation strategy, and migration service evolution.
• Participate in on call rotation and lead incident response for complex production issues affecting customer migrations.
• Influence release quality and cadence - contributing to a predictable deployment cycle serving a large production fleet.

A day in the life

You might start the morning leading a design review for a new CDC checkpointing mechanism that eliminates a class of data loss scenarios during failover. After the review, you dive into a crash signature that's been affecting thousands of customer tasks - tracing it through AddressSanitizer output to a race condition in thread shutdown, writing the fix, and authoring an STP test that reproduces it under concurrent load. In the afternoon, you're mentoring a junior engineer through their first Oracle endpoint fix, helping them navigate the codebase and understand the replication protocol. You end the day reviewing the architecture proposal for integrating a debugger into production instances, providing feedback on the consent model and performance impact.

Qualifications

• Experience programming with at least one modern language such as Java, C++, or C# including object oriented design.
• Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience in development in the last 3 years.
• Experience as a mentor, tech lead or leading an engineering team, or experience leading engineering teams as a mentor or tech lead.
• Experience building production software applications or understanding software development, distributed systems, and systems architecture.
• Experience debugging, profiling, and implementing best software engineering practices in large scale systems, or experience with general troubleshooting/debugging of hardware.
• Master's degree in computer science or equivalent.
• Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Experience with database replication technologies: CDC (Change Data Capture), logical replication, log based capture (LogMiner, fn_dblog, pgoutput).
• Experience with security vulnerability remediation in production systems.
• Experience building automated test frameworks or improving test coverage for complex systems.
• Experience with memory safety tooling (AddressSanitizer, ThreadSanitizer, Helgrind).
• Experience operating services at scale (multi region deployments, large customer fleets).
• Experience with release management and deployment pipelines for large fleets.

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