Competencies: 6+ years experience required Digital : Amazon Web Service(AWS) Cloud Computing Advanced Java Concepts Microsoft SQL Server 2019 Java Performance Tools (Jprobe, Jensor, OptimizeIT)
Must Have Technical/Functional Skills:
Rust Development
Memory & Performance Optimization
Java/JVM Internals
Distributed Systems & AWS
AI Agent-driven Development & Testing
Roles & Responsibilities:
Drive Java-to-Rust migrations as a DRAM-reduction lever: apply the decision framework to identify genuinely memory/latency-bound services (JVM overhead as a structural ceiling), rank APIs by traffic, and own each migration end-to-end from analysis through cutover.
Bring deep system expertise to the agent-driven workflow: define type hierarchies, module boundaries, and API contracts; drive and unblock the Rustify agents rather than merely operating them; and contribute improvements back to the framework when you hit friction.
Establish oracle-based correctness and prove functional equivalence: capture production request/response pairs as the source of truth and validate the Rust implementation via progressive zero-diff testing (RustifyComparator) from small samples to full 1000+ scale, distinguishing real bugs from acceptable non-determinism.
Implement on the target stack and optimize for memory: build on Smithy Rust Server SDK, ECS Fargate (ARM64/Graviton), CargoBrazil, CDK with @amzn/pipelines, and CloudAuth; then profile hotspots, stress test, and quantify DRAM/latency savings with no functional regression.
Execute safe rollout and operations: shadow deploy in Gamma and Prod to prove equivalence on live traffic, drive gradual cutover (canary to 100%) with rollback at each stage, stand up observability (dashboards, alarms, runbooks), and align API compatibility with upstream/downstream teams.
Codify reusable learnings: migration guides, runbooks, and friction logs