{"schemaVersion":"jobsearcher.job.v1","id":"6823572dd0d0ff5f70b38df5","url":"https://jobsearcher.com/jobs/6823572dd0d0ff5f70b38df5","canonicalUrl":"https://jobsearcher.com/jobs/6823572dd0d0ff5f70b38df5","title":"React Developer","description":"Basic QualificationsBachelor's degree in Computer Science, Engineering, or equivalent technical field.5-7+ years building and operating backend services in large-scale production environments, with demonstrable end-to-end ownership across design, implementation, testing, deployment, and operations.End-to-end experience building, deploying, and maintaining production Rust applications: solid command of ownership/borrowing, lifetimes, traits, error handling, and an async runtime (e.g., Tokio); able to write, review, and debug Rust, not just read it.Hands-on performance and memory optimization experience in production services: profiling, benchmarking, and reducing memory footprint, with a working understanding of how memory optimization is achieved (e.g., allocation patterns, data layout, eliminating runtime overhead).Demonstrated experience migrating or rewriting services across languages or runtimes while preserving API/wire-format compatibility and proving functional equivalence.Familiarity with the Rust service target stack or close equivalents: Smithy Rust Server SDK, ECS Fargate (ARM64/Graviton), CargoBrazil, and CDK with @amzn/pipelines.Proficiency working hands-on with AI coding agents as a primary development workflow: driving multi-step/multi-agent workflows, structuring work within human-defined boundaries, reviewing agent output critically, and knowing when to intervene versus delegate.Strong Java/JVM experience (or equivalent in another source language), including the runtime cost model (GC, heap/metaspace, JIT), sufficient to judge migration candidates and faithfully re-express existing service logic and framework behavior (e.g., Coral, Spring, Guice).Preferred QualificationsMeasurable DRAM/latency/throughput improvements achieved in production distributed systems through rewrites, memory optimization, or runtime changes.Experience with oracle/differential testing and shadow deployment (traffic mirroring, response diffing, statistical equivalence) as a validation and cutover strategy.Experience contributing to AI agent frameworks or automated engineering workflows: not just using them, including skills, steering, or CI enforcement to prevent convention drift.Experience with Rust interop/FFI (JNI/bindgen) and incremental, per-API migration where Rust and Java services coexist behind stable boundaries.Experience with Amazon internal validation and operational tooling (profilers, stress-testing frameworks, CloudWatch, X-Ray) and standing up observability for a new runtime.Strong written and verbal communication: able to present equivalence and performance results and frame proposals around fleet cost / IMR / DRAM reduction to service teams and leadership.","company":"Voto Consulting","rawCompany":"voto consulting","city":"San Leandro","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-25T10:40:36.027Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"React Developer","description":"Basic QualificationsBachelor's degree in Computer Science, Engineering, or equivalent technical field.5-7+ years building and operating backend services in large-scale production environments, with demonstrable end-to-end ownership across design, implementation, testing, deployment, and operations.End-to-end experience building, deploying, and maintaining production Rust applications: solid command of ownership/borrowing, lifetimes, traits, error handling, and an async runtime (e.g., Tokio); able to write, review, and debug Rust, not just read it.Hands-on performance and memory optimization experience in production services: profiling, benchmarking, and reducing memory footprint, with a working understanding of how memory optimization is achieved (e.g., allocation patterns, data layout, eliminating runtime overhead).Demonstrated experience migrating or rewriting services across languages or runtimes while preserving API/wire-format compatibility and proving functional equivalence.Familiarity with the Rust service target stack or close equivalents: Smithy Rust Server SDK, ECS Fargate (ARM64/Graviton), CargoBrazil, and CDK with @amzn/pipelines.Proficiency working hands-on with AI coding agents as a primary development workflow: driving multi-step/multi-agent workflows, structuring work within human-defined boundaries, reviewing agent output critically, and knowing when to intervene versus delegate.Strong Java/JVM experience (or equivalent in another source language), including the runtime cost model (GC, heap/metaspace, JIT), sufficient to judge migration candidates and faithfully re-express existing service logic and framework behavior (e.g., Coral, Spring, Guice).Preferred QualificationsMeasurable DRAM/latency/throughput improvements achieved in production distributed systems through rewrites, memory optimization, or runtime changes.Experience with oracle/differential testing and shadow deployment (traffic mirroring, response diffing, statistical equivalence) as a validation and cutover strategy.Experience contributing to AI agent frameworks or automated engineering workflows: not just using them, including skills, steering, or CI enforcement to prevent convention drift.Experience with Rust interop/FFI (JNI/bindgen) and incremental, per-API migration where Rust and Java services coexist behind stable boundaries.Experience with Amazon internal validation and operational tooling (profilers, stress-testing frameworks, CloudWatch, X-Ray) and standing up observability for a new runtime.Strong written and verbal communication: able to present equivalence and performance results and frame proposals around fleet cost / IMR / DRAM reduction to service teams and leadership.","datePosted":"2026-08-25T10:40:36.027Z","dateModified":"2026-08-25T10:40:36.027Z","hiringOrganization":{"@type":"Organization","name":"Voto Consulting","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Leandro","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6823572dd0d0ff5f70b38df5"},"url":"https://jobsearcher.com/jobs/6823572dd0d0ff5f70b38df5"}}