Mid-Level DevOps Engineer - Data Lake Project

Flintex Consulting Pte Ltd; Hong Kong; On-site; HKD 420,000 - 700,000; Full time

Job summary

Flintex Consulting Pte Ltd is seeking an experienced DevOps Engineer to maintain and optimize a GitOps-driven cloud platform. You will scale IaC with Terraform, manage Kubernetes clusters via ArgoCD, and drive automated workflows across enterprise environments.

The role requires 3–5 years of DevOps experience, strong Docker and SonarQube skills, and hands-on Azure with a view to GCP migration. You will own incidents end-to-end and document architectures thoroughly.

Qualifications

• Degree in Computer Science, Software Engineering, or equivalent.
• 3-5 years of commercial experience as a DevOps Engineer in automated, enterprise environments.
• Solid understanding of event-driven automation workflows and Kubernetes workloads using GitOps tools (ArgoCD or equivalent).
• Proven experience with Terraform in large repositories, modular, linted code and clean state management.
• 2+ years of administrative experience with Microsoft Azure; familiarity with GCP or Azure DevOps is a plus.
• Strong Docker skills and familiarity with code quality automation tools like SonarQube.
• Self-driven, owns tasks and thrives with minimal micromanagement.

Responsibilities

• Maintain and optimize a fully automated, GitOps-driven cloud infrastructure.
• Scale declarative IaC with Terraform across large codebases.
• Manage Kubernetes clusters with GitOps (ArgoCD) and automated workflows.
• Drive autonomous incident resolution with deep root-cause analysis and proactive monitoring.
• Ensure infrastructure code and configurations meet strict quality gates and document architectures.
• Support data and AI workloads with GPU-enabled Kubernetes nodes and cloud-native pipelines.
• Configure Bitbucket Cloud RBAC and SonarQube Cloud settings for governance.
• Participate in migrating from Azure to Google Cloud Platform and from Argo Workflows to Azure DevOps pipelines.

Skills

Kubernetes

Terraform

GitOps

ArgoCD

Docker

SonarQube

Azure

GCP

Azure DevOps

Bitbucket Cloud

RBAC

IaC

CI/CD

Education

Degree in Computer Science / Software Engineering

Tools

Terraform

ArgoCD

Bitbucket Cloud

SonarQube Cloud

Job description

What will you do?

The objective of the position is to maintain and optimize a fully automated, GitOps-driven cloud infrastructure. Act as a highly resolutive, self-driven operational backup in the absence of the DevOps & Cloud Manager, keeping production systems stable and secure with minimal supervision.

Maintain Code-Driven Infrastructure: Maintain and scale declarative Infrastructure as Code (IaC) solutions via Terraform across complex, large-scale codebases, prioritizing reusable module design, state optimization, and drift prevention.

Manage Automated Workflows & GitOps: Oversee the end-to-end lifecycle of Kubernetes clusters using GitOps practices (ArgoCD) and manage automated infrastructure workflows, ensuring zero manual intervention in the deployment pipeline.

Autonomous Incident Resolution: Drive technical incidents to resolution with a high degree of autonomy, performing deep root-cause analysis and utilizing automated monitoring/alerting frameworks to proactively maintain system health.

Enforce Rigorous Quality Standards: Ensure all infrastructure code, automated workflows, and configurations meet strict quality gates. Author and maintain comprehensive, crystal-clear technical documentation for all architectures and automation processes.

Support Data & AI Automation: Maintain the automated provisioning and scaling of infrastructure for Data and AI workloads, including GPU-enabled Kubernetes nodes and cloud-native AI pipeline components.

Enterprise SaaS Administration: Programmatically configure and manage enterprise platforms, including Bitbucket Cloud (RBAC, branch strategies) and SonarQube Cloud (Quality Gates).

Contribute to Future Migrations: Participate actively in the long-term planning and execution of our multi-year strategic migration from Azure to Google Cloud Platform (GCP) and from Argo Workflows to Azure DevOps pipelines.

What will you need?

Background: Degree holder in Computer Science, Software Engineering, or a closely related field (or 3-5 years of equivalent commercial experience in a SysAdmin/DevOps discipline).

Experience Tier: 3-5 years of commercial experience working as a DevOps Engineer in highly automated, multi-contributor enterprise environments.

Automation Workflow & GitOps Depth: Solid understanding of event-driven automation workflows and extensive hands-on experience running Kubernetes workloads using GitOps tools (ArgoCD or equivalent).

Large-Scale IaC: Proven experience handling Terraform inside large repositories, including clean state management and writing modular, linted, reusable code.

Cloud Platforms: 2+ years of administrative experience with Microsoft Azure cloud services. Familiarity with Google Cloud Platform (GCP) or Azure DevOps is a strong plus due to upcoming migration initiatives.

Containerization & Code Quality: Strong proficiency in Docker (creating secure, unprivileged, size-optimized containers) and familiarity with running code quality automation tools (like SonarQube).

Mindset: Highly resolutive problem-solver who takes strict ownership of tasks and thrives in an environment that requires minimal micromanagement.

Gain deep exposure to enterprise-scale multi-cloud migrations and modern AI infrastructure engineering. Learn new tools through hands-on proof-of-concept projects.