Software Development Engineer, AWS DMS

Requirements

• Experience programming with at least one software programming language, or experience in embedded development in C/C++
• Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems, or experience in embedded development in C/C++
• Experience in relational database technology (such as Redshift, Oracle, MySQL or MS SQL)

Nice to Haves

• 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

What You'll Be Doing

• Design, implement, and ship fixes and features in the C/C++ replication engine for PostgreSQL, Oracle, and SQL Server source/target endpoints
• Diagnose and resolve complex production issues - task crashes, memory corruption, CDC failures, data validation errors - using core dump analysis, memory profilers (AddressSanitizer, Valgrind), and systematic debugging
• Develop and expand automated test coverage using the Scalable Test Platform (STP)
• Deliver security fixes within SLA and contribute to security compliance initiatives
• Participate in code reviews, design discussions, and release management
• Collaborate with Database Engineers to reproduce and fix customer-reported issues
• Leverage and contribute to AI-powered engineering tools
• Participate in on-call rotation, triaging production incidents and driving them to resolution

Perks and Benefits

• Work in a team environment that supports knowledge-sharing and mentorship
• Assignment of projects to help develop engineering expertise
• Operate across Dublin, Poland, and the US, with opportunities for global collaboration
• Leverage AI tools for efficient bug-fixing and troubleshooting
• Career growth opportunities with mentorship and resources for professional development
• Flexible work hours and arrangements for work-life balance