are hiring across two overlapping profiles — Senior Java Developer and Application / Migration Architect — and expect most people to move between programmes as engagements start and complete. Several of these are hands-on architect roles: you will own design decisions and also write production code. Gravity9 is hiring across two overlapping profiles — Senior Java Developer and Application / Migration Architect — and expect most people to move between programmes as engagements start and complete. Several of these are hands-on architect roles: you will own design decisions and also write production code.We are hiringWe are hiringWe are hiringWe are hiringWe are hiring across two overlapping profiles — Senior Java Developer and Application / Migration ArchitectWe are hiring across two overlapping profilesWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiringWe are hiring

Uhlobo lwemisebenzi Okulandelayo kukhombisa ukuxhumana okwamanje nokungalindelekile. Imisebenzi ehlukile izothatha ezinye zalezi, hhayi zonke — sifuna kakhulu abanjiniyela abakwazi ukusebenza ngokuzithemba ekuqongeleleni kweJava nedatha kune-checklist match ebhekene nezinhlelo ezihlukile. I-data catalog ephephile ne-access-control platform I-greenfield metadata catalog esebenza njenge-index ehlobene nedatha egcinwe ezizindani ezizimele, ukuze izinhlangano ezigunyaziwe zikwazi ukukhomba nokuthola idatha i-catalog ayigcinanga. Imisebenzi ifaka ukudweba imodeli yokulawula ukungena esekelwe ku-attribute engaphezu kwe-attributes ezifana nokuzibophezela, isizwe, iyunithi yohlelo ne-compartment; ukuvimbela lezi mithetho ngaphakathi kwe-database yombuzo wendlela ngaphezu kokuhlunga izimpendulo ngemuva; ukufihla i-application-layer nge-keys ezilawulwa ngaphandle; ucwaningo lwe-hybrid lexical ne-semantic nokungena kokuhlunga okusetshenziswa ngaphambi kokuthola umholi ngaphezu kokuhlunga ngemuva; kanye ne-tamper-evident audit trail engakwazi ukubuyisela emuva ukuthi kungani irekhodi elinikeziwe libuyiselwe, liguqulwe noma ligcinwe. Isikhathi sangempela sokuthatha isinqumo sosizo lwedatha ukwakha Ukushintsha i-point-to-point integration phakathi kwe-multi-vendor estate ne-microservices architecture ne-data layer ejwayelekile, ukuze idatha yokusebenza ihambe ngesikhathi esifanayo endaweni yezinsuku.

Imisebenzi ifaka i-target-state architecture kanye ne-records yesinqumo, ushintsho-data-capture ingest pipelines kusuka kumasevisi wedatha ephakeme, ontology ne-mapping-layer design phakathi kwabathengisi nabathengisi namasu afana nedatha, ukuhlukaniswa kwe-system, ukubhekisa nokucabanga ama-data classes kufaka phakathi i-series yesikhathi, kanye nokubekwa topologies ehlanganisa izinsizakalo ezigcinwe e-cloud-hosted ngezansi ku-hardware encane. Legacy-to-document-model migration at national scale Migrating hundreds of millions of records and tens of terabytes of XML out of a legacy relational platform into a sharded document store, in support of a COBOL-to-Java microservices rewrite. Imisebenzi ifaka i-configuration-driven XML-to-JSON transformation framework backed by a versioned schema registry — twenty years of history, multiple record types and continuous schema and semantic drift; CDC and streaming pipelines, or a checkpointed parallel bulk-extract alternative; a field-level mapping validation and reconciliation framework robust enough to stand up to audit; a replay and failure-diagnostics harness with dead-letter routing and idempotent re-runs; and repeated dress rehearsals towards a single cutover window with no dual running. Monolith decomposition and data-ownership migration Breaking a distributed monolith of well over a hundred Java services sharing a handful of database clusters into domain-owned services — moving from borrowed data to owned data without re-introducing hidden coupling.

Imisebenzi ifaka phakathi bounded-context ucwaningo ukwakha ukuthi iyiphi ikheli ngokuqinisekile inikazi ukuthi iziqoqo, in-indawo data remodelling phambi noma iyiphi i physical ushintsho, a data-ukungena facade nezici-flagged per-request routing phakathi edala ne entsha amasitolo, dual-write / backfill / ukulungisa / ukufunda-switch cutover lifecycles nge a kucacisiwe rollback ngaso sonke isikhashana, cluster-to-cluster streaming kanye ngempela ukufuduka tooling, kanye automatic parallel-run kanye diff-on-ufunde ukuhlolwa..

Yini ozoba kwenza Ukugcizelela kuhluka ngokumelene nemisebenzi nezinhlelo, kodwa MongoDB yintambo ejwayelekile. Yonke enye yalezi zigcawu ifaka ukwakha imodeli, ukufuduka kuyo, noma ukwakha phezulu kwayo, futhi ububanzi obusemthethweni lapha yilokho okuningi okunye.

Ukwakhiwa nobunjiniyela • Ukukhiqiza izici eziphezulu nezingaphansi, ukuphepha kanye nedatha ye-architecture, kanye ne-architecture decision records — futhi uthathe ngazo nge-client design authorities ne-formal governance gates • Yenza futhi ugweme i-architectural trade-offs phambi kwe-engineering kanye ne-non-technical stakeholders, kufaka phakathi i-client technical authorities ne-third party suppliers • Ukuhlola izimo zokungena ezingokoqobo futhi uqinisekise i-MongoDB document models efanelekayo ngokumelene ne-genuine throughput, umbuzo kanye nezidingo zokushayela ngaphambi kokuba zihlolwe • Ukwakha i-hands-on build • Ukwakha i-Java production services ne-RESTful APIs (Spring Boot noma okufanayo), eyenziwe ngokuxhuma nge-multiple consuming systems futhi ibhalwe ku-OpenAPI • Ukwakha i-data pipelines: CDC ne-streaming ingest, transformation frameworks, checkpointed batch extract workers, ne-MongoDB sink configuration ne-tuning at terabyte scale • Ukubhala izifundo: unit, integration, golden-record fixtures, parallel-run reconciliation, load and stress harnesses that prove performance under realistic volumes • Ukusebenza phakathi kwe-MongoDB Atlas ne-Enterprise Advanced, kufaka phakathi i-Kubernetes-hosted deployments, kanye nokuhamba nokusebenza kwe-sync tooling ngazo Data modernization a.