Mozn ni kampuni ya AI inayolenga AI zalishi inayotumia Kiarabu asilia na akili ya biashara kwa mashirika katika eneo lote la MENA. Bidhaa zake ni pamoja na OSOS, jukwaa la AI zalishi linalotanguliza Kiarabu, na FOCAL, jukwaa la kugundua uhalifu wa kifedha na ulaghai. Mozn pia hutengeneza suluhisho maalum katika akili ya lugha, akili ya hatari, AI ya uendeshaji, usimamizi wa data, akili ya kijiografia, na vituo vya AI, huku ikihudumia sekta kama afya, fedha, na serikali. Kazi yake inasisitiza AI inayozingatia utamaduni, usalama wa data, na uzingatiaji wa kanuni.
Mhandisi wa Mifumo Iliyosambazwa III, Kazi ya Mbali nchini Misri
Jenga na endesha cloud, Kubernetes, Kafka, na data platforms zinazoweza kupanuka kwa bidhaa za Enterprise AI za Mozn. Saidia workloads zenye ustahimilivu, zinazotumia data nyingi, na za AI katika mazingira ya uzalishaji.
Maelezo
- Jenga na uendelee kuboresha production cloud-native platforms kwa ajili ya distributed workloads
- Endesha Kubernetes platforms, ikijumuisha upgrades, node pools, workload lifecycles, troubleshooting, na shughuli za kawaida
- Deploy na simamia huduma kwa kutumia ArgoCD, Helm, GitOps, Terraform, na automation
- Buni mifumo inayotanguliza scalability, availability, resilience, performance, na urahisi wa uendeshaji
- Tatua masuala changamano yanayohusisha Kubernetes, cloud infrastructure, networking, storage, applications, na distributed services
- Endesha na troubleshoot Apache Kafka katika high-throughput production environments
- Simamia Kafka topics, partitions, replication, consumer groups, retention, throughput, latency, na recovery kutokana na failures
- Unganisha Kafka na databases na applications kupitia Kafka Connect, Debezium, au zana zinazolingana za CDC na event streaming
- Endesha MySQL na/au PostgreSQL, ukihusisha replication, high availability, backups, recovery, performance, na migrations
- Saidia data-intensive na analytical platforms kama StarRocks, ClickHouse, Apache Doris, au teknolojia zinazolingana
- Buni na endesha platforms zinazobaki resilient wakati wa node, service, zone, na infrastructure failures
- Tekeleza na ujaribu uwezo wa backup, recovery, disaster recovery, failover, na business continuity
- Tumia multi-zone, multi-region, na active-active architecture patterns inapofaa
- Tengeneza multi-tenant platforms zenye isolation, scaling, resource controls, na reliability inayofaa
- Shiriki katika disaster-recovery exercises, failure simulations, migrations, na resilience programs pana
- Automate infrastructure na platform lifecycle tasks kwa Terraform, Python, Bash, Go, au teknolojia zinazofanana
- Tengeneza deployment na GitOps workflows zinazotegemeka na zinazopunguza manual operational work
- Tekeleza monitoring, logging, alerting, na observability kwa distributed workloads
- Shiriki katika production incident response, root-cause analysis, na mipango ya reliability ya muda mrefu
- Toa infrastructure kwa AI, machine-learning, na data-intensive workloads
- Endeleza cloud na Kubernetes platforms kwa AI workloads, data pipelines, model serving, na platform services
- Shughulikia mahitaji ya compute, GPU, networking, storage, data movement, observability, na workload isolation katika AI platforms
- Unda reusable platform capabilities pamoja na engineering teams ili kuendesha AI na data workloads kwa kutegemeka na kwa kiwango kikubwa
- Endelea kufuatilia infrastructure patterns zinazohusu AI platforms, distributed data systems, na cloud-native technologies
Mahitaji
- Uwe na uzoefu wa miaka 4–7 katika platform engineering, infrastructure engineering, distributed systems, SRE, backend engineering, data infrastructure, au taaluma inayohusiana
- Uonyeshe uzoefu thabiti na wa lazima wa uzalishaji wa Apache Kafka
- Uonyeshe uzoefu wa lazima wa vitendo katika uzalishaji wa Kubernetes
- Uwe na uzoefu thabiti na wa lazima wa MySQL au PostgreSQL
- Uelewe kanuni za distributed systems ikiwa ni pamoja na replication, partitioning, consistency, availability, fault tolerance, scalability, na failure recovery
- Uwe na uzoefu wa ArgoCD, GitOps, na infrastructure as code kama Terraform
- Uwe umeendesha workloads kwenye public cloud platform kama GCP, OCI, AWS, au Azure
- Uwe na uwezo thabiti wa production troubleshooting na incident resolution
- Utumie Python, Bash, Go, Java, au lugha zinazolingana kwa automation na scripting
- Uelewe misingi ya high-availability, disaster-recovery, na multi-tenant architecture
- Uwe na uzoefu wa observability na operations tools kama Prometheus, Grafana, OpenSearch/ELK, LGTM, au zinazolingana
- Uelewe misingi ya infrastructure na networking katika cloud-native environments
- Inapendelewa: uzoefu wa Kafka Connect, Debezium, Kafka Streams, au CDC platforms
- Inapendelewa: uzoefu wa distributed analytical databases kama StarRocks, ClickHouse, Apache Doris, au zinazolingana
- Inapendelewa: uzoefu wa Flink, Spark, au distributed data-processing technologies nyingine
- Inapendelewa: uzoefu wa kutoa large-scale data, database, application, au infrastructure migrations
- Inapendelewa: uzoefu wa active-active, multi-zone, au multi-region systems
- Inapendelewa: uzoefu wa kuendesha stateful workloads kwenye Kubernetes
- Inapendelewa: uzoefu wa kusaidia AI/ML infrastructure au GPU-based workloads
- Inapendelewa: uzoefu wa cloud networking, service mesh, ingress, load balancing, au storage platforms
- Inapendelewa: michango kwa Kubernetes, Kafka, distributed systems, au open-source infrastructure projects nyingine
Manufaa
- Malipo yenye ushindani
- Bima ya afya ya kiwango cha juu
- Utamaduni wa ushirikiano na kuwezesha
- Wajibu wenye maana unaoungwa mkono na uaminifu
- Uhuru katika kufanya maamuzi
- Mazingira ya kazi yenye uchangamfu na mvuto
- Fursa ya kufanya kazi na wataalamu wakuu wa AI
- Mahali pa kazi panapojumuisha wote na kuthamini utofauti