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Software Engineer - Rustification

Exclusive opportunity

Onsite

Software Engineer - Rustification

K&K Global Talent Solutions INC.

Software Engineer - Rustification

Skills

RustJavaAIAWSOracle

2 months ago

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Important information


Contract type:

Permanent

Salary:

$120,000 – $150,000 / year

Location:

Seattle, WA, USA

Work mode:

Onsite

Published on:

18 August 2026

What they need


Job Title: Software Engineer - Rustification

Location: Seattle, WA (Onsite)

Job Type: Full Time/Permanent

Experience: 6+ years

Job Description:

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 (Rustify Comparator) 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), Cargo Brazil, CDK with pipelines, and Cloud Auth; 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

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