Emerging Travel Group
Emerging Travel Group
Emerging Travel Group yakka tartibda sayohat qiluvchilar, sayyohlik agentliklari va korporativ mijozlar uchun onlayn bron qilish hamda sayohatlarni boshqarish platformalarini ishlab chiqadi. Kompaniyaning texnologiyasi mijozlar va soha hamkorlarini 190 ta manba bozoridagi 2,9 milliondan ortiq turar joy obyekti, shuningdek, aviaqatnovlar, transferlar va avtomobil ijarasini o‘z ichiga olgan keng takliflar majmuasi bilan bog‘laydi. Kompaniya mehmonxona egalari va operatorlariga tarqatish imkoniyatlarini yaxshilash hamda yangi mijozlarni jalb qilishda ham yordam beradi; sayohat bronlarini va biznes hamkorligini qo‘llab-quvvatlash uchun mehmondo‘stlik, logistika va elektron tijorat salohiyatlarini birlashtiradi.

Data Platform SRE and Observability Engineer

Build observability across Trino, Kubernetes, databases, Hadoop, and Apache Ozone. Improve DORA metrics, service dashboards, and proactive incident alerting.

Tavsif

  • Build end-to-end monitoring for infrastructure including Trino, Kubernetes, databases, Apache Ozone, and Hadoop
  • Automate the collection of DORA metrics
  • Create high-level dashboards that show service uptime
  • Review existing metrics and close monitoring gaps, especially in Kubernetes, databases, and distributed storage
  • Refine Alertmanager rules to identify incidents and anomalies early
  • Act as the monitoring expert and reduce team leads’ routine dashboard and alerting support workload

Talablar

  • At least 3 years of DevOps or SRE experience and at least 5 years in IT
  • Python knowledge; Go or JavaScript is a plus
  • Experience as an SRE or monitoring engineer focused on infrastructure reliability rather than product feature development
  • In-depth knowledge of Prometheus, Grafana, and Alertmanager
  • Experience writing complex PromQL queries and reducing alert fatigue
  • Practical understanding of SLI, SLO, and SLA concepts and error budgets
  • Understanding of methods for collecting DORA metrics
  • Experience with Kubernetes and databases
  • Ability to quickly understand metrics from distributed systems such as Hadoop and Trino
  • Ability to turn abstract system behavior and logs into clear, structured, actionable metrics

Imtiyozlar

  • Flexible work schedule
  • Choice of fully remote, office-based, or hybrid work
  • Internal onboarding and training programs
  • Individually tailored soft skills and leadership development programs
  • Partial reimbursement for external training and conferences
  • Group and individual English lessons
  • Speaking clubs with colleagues worldwide
  • Corporate rates on hotels and other travel services
  • An additional MyTime day off

O‘xshash ish o‘rinlari

Intetics

ML Data Engineer, Romania Remote

Intetics

Build real-time, graph, and time-series data infrastructure for athlete performance. Support machine learning evaluation and AI systems for an Intetics customer in the United States.

Ochish