{"schemaVersion":"jobsearcher.job.v1","id":"42394ddfbf430d85ea59a864","url":"https://jobsearcher.com/jobs/42394ddfbf430d85ea59a864","canonicalUrl":"https://jobsearcher.com/jobs/42394ddfbf430d85ea59a864","title":"Java with Rust AND Java Performance Tools","description":"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 DevelopmentMemory & Performance OptimizationJava/JVM InternalsDistributed Systems & AWSAI Agent-driven Development & TestingRoles & 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","company":"Q1 Technologies","rawCompany":"q1 technologies","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-09-11T13:00:04.762Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Java with Rust AND Java Performance Tools","description":"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 DevelopmentMemory & Performance OptimizationJava/JVM InternalsDistributed Systems & AWSAI Agent-driven Development & TestingRoles & 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","datePosted":"2026-09-11T13:00:04.762Z","dateModified":"2026-09-11T13:00:04.762Z","hiringOrganization":{"@type":"Organization","name":"Q1 Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"42394ddfbf430d85ea59a864"},"url":"https://jobsearcher.com/jobs/42394ddfbf430d85ea59a864"}}