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DevOps Engineer – Large-scale cloud-native platform -Hybrid Working

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Hybrid

DevOps Engineer – Large-scale cloud-native platform -Hybrid Working

VeXeRe.com - Vietnam's largest online bus ticketing platform

DevOps Engineer – Large-scale cloud-native platform -Hybrid Working

Skills

Google Cloud PlatformMongoDBE-commerce WebsitesPythonGolangMicroservicesPostgreSQLMySQLMicrosoft SQL ServerKafkaRedisGitLabGrafanaAIElasticsearchAnsibleLinuxKubernetesWordPressTerraform

5 days ago

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Important information


Contract type:

Permanent

Location:

Ho Chi Minh City, Vietnam

Work mode:

Hybrid

Published on:

15 October 2026

What they need


Environment

  • 3 cloud providers: Google Cloud, Viettel Cloud, and CMC Cloud.
  • Around 50 million requests per day.
  • 100+ production services on Kubernetes.
  • Multiple WordPress deployments on Kubernetes.
  • Production databases across MSSQL, MongoDB, PostgreSQL, ClickHouse, and MySQL.
  • GitLab CI, Flux CD, Terraform/Terragrunt, Ansible, Vault, OpenTelemetry, SigNoz, ELK, VictoriaMetrics, and Grafana.
  • Self-hosted stateful infrastructure and high-impact production workloads.

Responsibilities

Platform Reliability And Incident Response

  • Operate Kubernetes clusters, ingress, DNS, networking, storage, workload scheduling, and shared runtime components.
  • Investigate incidents using metrics, logs, traces, Kubernetes events, infrastructure state, and application signals.
  • Improve alerts, dashboards, escalation paths, and runbooks for critical systems.
  • Participate in production escalation, including after-hours incidents when required.
  • Convert repeated incidents into automation, standards, capacity changes, or documented prevention work.

Cloud Infrastructure And GitOps

  • Build and maintain infrastructure using Terraform/Terragrunt, GitLab CI, Flux CD, and Ansible.
  • Standardize cloud patterns across Google Cloud, Viettel Cloud, and CMC Cloud where practical.
  • Manage network connectivity, firewall rules, VPN, DNS, service exposure, certificates, and cloud resource lifecycle.
  • Improve rollback, break-glass access, production change review, and GitOps recovery procedures.
  • Review infrastructure changes for reliability, security, cost, and operational impact.

CI/CD And Developer Enablement

  • Maintain reusable GitLab CI templates and deployment patterns.
  • Help application teams adopt standard patterns for configuration, secrets, rollouts, observability, and production readiness.
  • Reduce one-off support through self-service workflows, checks, and concise documentation.

Database, Data, And Stateful Operations

  • Support operational work around MSSQL, PostgreSQL, MongoDB, MySQL, ClickHouse, Redis, Kafka, and Elasticsearch.
  • Improve replication, capacity planning, performance investigation, and recurring data-pipeline operations.
  • Coordinate high-risk data changes with service owners and database stakeholders.
  • Maintain runbooks for lag investigation, restore testing, failover, and data incident response.

High Availability And Disaster Recovery

  • Improve availability patterns for workloads, ingress, databases, caches, queues, storage, and cloud infrastructure.
  • Validate backup, restore, failover, rollback, and recovery procedures for critical systems.
  • Run disaster recovery drills and document RTO, RPO, and remediation gaps.
  • Review architecture changes for single points of failure, capacity risk, zone dependency, and recovery impact.

Automation And AI Workflows

  • Build scripts or tools for inventory, drift detection, alert review, cost review, backup checks, and recurring operations.
  • Use AI-assisted workflows for log analysis, incident summaries, runbook drafts, infrastructure review, and operational reporting.
  • Keep human approval for production changes, database recovery, security exceptions, and disaster recovery execution.

Required Experience

  • 4+ years of experience
  • Production Kubernetes experience covering deployments, services, ingress, autoscaling, resource limits, troubleshooting, and recovery.
  • Hands-on Linux, networking, DNS, TLS, load balancing, firewall, VPN, and production debugging experience.
  • Cloud infrastructure experience. Google Cloud is preferred; multi-cloud experience is a strong plus.
  • Infrastructure as code experience with Terraform or Terragrunt.
  • CI/CD experience. GitLab CI is preferred.
  • GitOps or Kubernetes deployment automation experience. Flux CD or Argo CD is preferred.
  • Observability experience with logs, metrics, traces, alerts, dashboards, and incident analysis.
  • Scripting or automation ability using Bash, Python, Go, or similar tools.
  • Production experience with at least one database, cache, queue, or search system.
  • Ability to write clear runbooks, incident notes, technical decisions, and async updates.

Operating Style

  • Senior enough to own problems end to end without waiting for detailed task breakdown.
  • Comfortable working in a small DevOps team where platform, cloud, security, database, observability, and support work compete for capacity.
  • Prioritizes production safety, automation, documentation, and repeatable standards.
  • Communicates clearly in writing and works effectively with distributed engineering teams.
  • Can explain tradeoffs to developers, product teams, and leadership without hiding behind tool names.
  • Accepts operational responsibility during incidents.

Preferred Signals

Certifications are optional. Equivalent hands-on production delivery is more important.

  • Has operated Kubernetes for a production microservices platform with meaningful traffic.
  • Has reduced alert noise, recurring incidents, manual changes, or deployment failures.
  • Has built reusable CI/CD templates, GitOps workflows, Terraform modules, runbooks, or internal tools.
  • Has handled incidents involving Kubernetes, cloud networking, databases, Kafka, Redis, Elasticsearch, or observability systems.
  • Has performed backup and restore testing, disaster recovery planning, failover drills, or postmortems.
  • Has worked at a startup, marketplace, fintech, ecommerce, travel, logistics, SaaS, or other high-traffic online platform.
  • Has practical security experience around IAM, Vault, Kubernetes hardening, CI/CD controls, secrets rotation, or public endpoint protection.
  • Has used AI tools responsibly for investigation, documentation, code review, automation, or operational analysis.

BENEFITS

Competitive Compensation & Bonuses

  • Attractive salary package with performance-based quater bonuses.
  • 100% salary during the probation period.
  • Performance reviews twice a year

Flexible Work & Growth Opportunities

  • Hybrid working model with remote work and offline in-person meetings twice each week.
  • Work directly with the DevOps Lead and collaborate with experienced CTOs, architects, and tech leaders at Vexere.
  • Codex AI access to support research, analysis, automation, and documentation work.
  • Opportunity to secure a cloud-native microservices platform with meaningful production scale.
  • Startup environment with low bureaucracy, no micromanagement, and direct ownership.
  • Freedom to research, test, and apply new technologies when they provide practical value.
  • Build your public profile through publishing technical articles, contributing to open-source projects managed by Vexere, and joining tech talks or industry events.
  • Attractive stock options for dedicated developers and team leads.

Exclusive Employee Perks

  • Up to 30% discount on bus tickets for Vexere employees and their families.
  • 12 days of annual leave, with 1 extra day off every 3 years, convertible into salary.
  • Vibrant and dynamic work environment with a friendly, supportive team.
  • Training sessions on negotiation, communication, work management, interpersonal skills, and software technology.
  • Exciting company activities: annual trips, team-building events, year-end parties, and more.

Office Location : Vexere Trading Service Co., Ltd – 2nd floor – Building H3, 384 Hoang Dieu, Ward 6, District 4, HCMC

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