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← GeoComply (GeoTech Hub Vietnam)

Senior DevOps Engineer Fluent in English

GeoComply (GeoTech Hub Vietnam) · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Quận 1, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • As a Senior DevOps Engineer based in Vietnam and part of a global DevOps team, you'll design, build, and operate the infrastructure and DevOps tooling that powers GeoComply's systems.
  • You'll own meaningful pieces of our AWS to GCP migration and multi-region platform on GCP, contributing to a unified, scalable core infrastructure that enables product development teams to deliver value quickly and keep pace with our customers' growing and fast-changing demands. This means shifting DevOps from "Serve" to "Enable" through self-service tooling, without loosening security,…
  • Cloud Infrastructure & FinOps: Support and maintain our AWS and GCP infrastructure for high availability, identify capability gaps within your scope and propose practical improvements, and treat cost as a first-class design constraint through FinOps practices.
  • Multi-Cloud Delivery & Migration: Own and deliver workstreams across AWS and GCP, including our AWS to GCP migration using GCP-managed services (e.g. GKE, Cloud SQL, Spanner, Pub/Sub, BigQuery), while continuing to operate the AWS workloads that remain business-critical, with cost, performance, and interoperability front of mind.
  • Multi-Region Architecture: Implement and operate multi-region infrastructure across AWS and GCP for low-latency traffic management (shadowing, shifting) and disaster recovery, in partnership with development and data teams.
  • Modernization & System Design: Support the transition from monoliths to microservices and align infrastructure with evolving application needs, promoting automation, scalability, and maintainability.
  • Security & Compliance: Embed security best practices across the infrastructure (IAM, least privilege, secrets management, network policies, data protection) and ensure compliance with industry standards and internal governance.
  • Engineering Platform & Operational Excellence: Improve CI/CD, observability (e.g. LGTM stack, GCP Monitoring), SLIs/SLOs, on-call and incident response, and post-mortems that reach systemic root cause; build reusable patterns and self-service tooling that shift DevOps from "Serve" to "Enable."
  • Knowledge Sharing & Mentorship: Mentor teammates through code and architecture reviews, and support development teams via reusable patterns, documentation, and self-service capabilities rather than by fielding their questions directly.
  • AI-Assisted Engineering: Leverage GenAI tools and AI agents to accelerate common development and operational work so your time goes to the highest-impact engineering, reviewing and verifying output against production standards for reliability, security, cost, and maintainability, and coach teammates to do the same.
  • Your Skills and Experience
  • 5+ years in DevOps, cloud infrastructure, SRE, or platform engineering, with demonstrated experience taking medium-to-large infrastructure projects.
  • Strong analytical mindset to define complex problems, evaluate technical trade-offs, and independently navigate ambiguity to drive cross-system solutions to completion.
  • Production expertise with containerization especially in Kubernetes environment, including deep familiarity with cluster lifecycle management, scaling strategies, resource optimization, and troubleshooting cluster and workload issues.
  • Proven experience designing modular Infrastructure as Code (e.g. Terraform) and building secure, automated CI/CD pipelines (e.g. GitHub Actions).
  • Proven track record of architecting and operating production environments on GCP and/or AWS, specifically leveraging managed services (e.g. GKE/EKS, Cloud SQL/RDS, Pub/Sub/SQS). Experience with multi-cloud/multi-region is a plus.
  • Direct ownership of highly available systems, including on-call, incident response, and post-incident improvement.
  • Proven experience with pillars of telemetry (metrics, logs, traces) and modern observability stacks (e.g LGTM stack, Datadog). Practical experience with SRE concepts and managing cardinality, retention, and cost at scale.
  • Familiar and hands-on practice using AI coding assistants and agentic tools (e.g. Claude Code, OpenCode) on real DevOps work (IaC, debugging, incident triage, post-mortems).
  • Communication: Professional working proficiency in English, written and verbal. Must be able to explain technical decisions clearly in English, in writing, in design documents, and in live discussion.
  • Bonus Points
  • Experience operating Service Mesh solutions (e.g. Istio, Linkerd) in complex microservices environments. Proven track record of tracing packet flow and optimizing end-to-end latency across multi-cluster, multi-region network topologies and cloud-managed service boundaries.
  • ML Infrastructure Engineering: Hands-on experience architecting and operating production ML platforms.
  • Why You'll Love Working Here

Quyền lợi

  • Learning opportunities & personal development allowance
  • 20 annual leave days, 5 sick leave days
  • Extensive health insurance
  • Competitive salary package, 100% salary during the probation period
  • Attractive bonuses (13th month, business performance, equity plans)
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