Senior DevOps/Data Engineer

Panasonic Việt NamQuận Ba Đình, Hà Nộiglintsveröffentlicht 22.09.2026
Muss:C#KubernetesData

Location: Lotte Tower, 54 Lieu Giai, Ba Dinh, Ha Noi Job Description

  • Lộ trình phát triển sự nghiệp đa chiều
  • Cơ hội đào tạo, công tác tại Nhật, Singapore, Mỹ..
  • Mức lương hấp dẫn, chế độ thưởng dựa trên năng lực

Your Skills and Experience

  1. Must have:
  • Language: English
  • Technical: generally, the most highly skilled product specialists, and may include the creators, chief architects, or engineers who created the product or service
  1. Nice to have:
  • Have experienced in automating deployment with K8S
  • Have experienced in Database and Data proccessing: Protgress SQL, DoK, Druid, Superset, Redis, Kafka
  • Have experienced in logging managerment systems such as ELK
  • Have experienced in programming and familiar with at least 1 programming language. Prefer .Net and C#
  • Have experience working with factory environment or factory system such as MES, ERP
  • Have experienced in customer support and customer care.

Benefits

  1. Outstanding benefits & supports:
  • Full salary and insurance coverage during a 2‑month probation period
  • Competitive salary, bonus, and diversified allowances
  • 24/7 personal accident & medical care + annual health checks
  1. Career growth & Global Exposure:
  • Clear multi‑track career roadmap
  • Various Training Programs (Language, Technical, Soft‑skills, On‑the-job, Udemy, etc...)
  • Collaborative training programs with global companies within the Panasonic Group
  • Annual Programmers’ Day events
  • Overseas business trips (US, EU, Japan, Singapore, Mexico, Thailand and other Asian countries…)
  1. Work-life harmony
  • Core hours: 9:00–16:00 days/week from Monday to Friday.
  • Flexible lunchtime
  • Additional special holidays
  • Regular team-building events: Birthday Parties, Sports Day, Family Day, Happy Fridays, Year-End Parties, ...
  • Summer Vacation (Trip to famous tourist spots, domestic/ overseas)
  1. Grade-A creative workplace
  • Top‑tier facilities, flexible layouts, and plenty of spaces for focused and casual work

Skills: Data Engineering, .NET, Redis, PostgreSQL, C#, SQL, K8s