TDCX
TDCX
TDCX компанияларға бірнеше арна арқылы клиенттерімен байланысуға және оларға қолдау көрсетуге көмектесуге арналған клиенттік тәжірибе шешімдерін ұсынады. Оның қызметтері қауіпсіз әрі құпиялылықты ескеретін хабар алмасуға басымдық береді, сондай-ақ өзара әрекеттесуді реттелген және қолжетімді күйде сақтайтын қауымдастыққа қатысу мен топтық әңгімелерді қолдайды. Компанияның профилі клиенттік тәжірибе, коммуникация қызметтері және соған байланысты бизнес-қолдау операциялары салаларындағы мүмкіндіктерді қарастыратын мамандар үшін қызықты болуы мүмкін.

Site Reliability Engineer

Build and improve reliable, scalable systems at TDCX, a global BPO and customer experience solutions provider. Automate operations, monitor performance, and lead reliability work.

Сипаттама

  • Design and maintain highly available, scalable, fault-tolerant systems
  • Partner with software engineers to build applications with reliability and performance in mind
  • Automate routine operations to improve efficiency and reduce manual work
  • Analyze system performance and resolve bottlenecks before users are affected
  • Prepare infrastructure for growth in web traffic and machine learning data processing
  • Join 24/7 on-call rotations, including scheduled shifts and holidays
  • Respond to incidents sustainably
  • Investigate root causes and lead blameless post-mortems to prevent repeat incidents
  • Implement monitoring practices and tools, including SLIs, SLOs, and SLAs
  • Configure automated alerts and metrics to track system health and performance
  • Apply and maintain security best practices
  • Ensure systems comply with regulatory requirements

Талаптар

  • Bachelor’s or master’s degree in computer science, information technology, computer engineering, or a related discipline
  • At least three years of experience as a site reliability, systems, or software engineer
  • Proficiency in a high-level programming language such as Python, Go, C++, or Java
  • Proficiency in shell scripting
  • Strong knowledge of data structures and algorithms
  • Strong knowledge of Linux and open-source technologies
  • Understanding of network architecture
  • Working knowledge of relational databases and database modeling
  • Experience with containers and orchestration platforms such as Docker and Kubernetes is preferred
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, MXNet, or PaddlePaddle is preferred
  • Hands-on experience with monitoring tools and methods such as Prometheus and Grafana is preferred
  • Strategic thinking, strong communication, and effective collaboration with cross-functional teams in a fast-paced environment

Артықшылықтар

  • Competitive compensation and appealing perks
  • Medical, insurance, and social security coverage
  • Modern workspaces
  • Team activities and recognition programs
  • Learning and development opportunities to support career growth
  • Supportive culture focused on employees’ futures
  • Convenient location with direct public transport links
  • Flexible work arrangements
  • Coaching and mentoring from experienced specialists
  • Global company recognized with hundreds of industry awards

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