Senior DevOps Consultant

3 days ago

Hong Kong Island, Hong Kong SAR China Pinpoint Asia Full time

Pinpoint Asia is partnering with a Top-Tier Global Bank to find a Senior DevOps Consultant to join their Group Data Technology division. This is a critical role within a high-profile initiative to build a single, comprehensive data cataloguing solution that connects business processes, data products, and services across the bank’s global business units. You will be the engineering backbone for a platform that massages vast data lakes, enables advanced querying, and supports the deployment of AI/ML models to drive business insights. If you are a GCP expert with a passion for building the "factory" where data and AI innovation happen, this is the role for you. Key Responsibilities Architecture & Platform: Design, build, and maintain high-performance infrastructure on Google Cloud Platform (GCP) , utilizing GKE (Google Kubernetes Engine) to manage complex API workloads and data integrations. Pipeline Automation: Architect and manage robust CI/CD pipelines using Jenkins . You will be writing complex scripted pipelines (Groovy) to automate builds, testing, and deployments for data and AI applications. Infrastructure as Code (IaC): Move away from manual configurations by writing high-quality IaC using Terraform and Ansible to provision and manage hybrid and public cloud environments. Data & AI Integration: Work closely with data scientists and engineers to integrate Google Cloud services such as CloudSQL, MemoryStore, and MIGs into the GKE workloads. Security & Compliance: Ensure all pipelines and infrastructure meet strict banking security standards, integrating code scanning tools (Sonar, Checkmarx, Container Scanning) directly into the automation workflow. Scripting: Utilize advanced Bash/Shell and Python scripting to "glue" various tools and services together for a seamless developer experience. Requirements Experience: 10+ years of solid experience in DevOps, System Administration, or Platform Engineering. Cloud Expertise: Deep, hands-on knowledge of Google Cloud Platform (GCP). GCP Certification and Kubernetes Certification are highly preferred. Containerization: Expert-level skills in Docker, Kubernetes, and Helm Charts . You should be comfortable managing clusters in a production environment. Tooling: Strong proficiency with Jenkins (specifically scripted pipelines/Groovy), Terraform, Ansible, and Git (branching strategies for Maven/NPM). Monitoring: Experience with enterprise monitoring tools such as Datadog, AppDynamics, or Grafana. Language: Strict requirement for Cantonese and Mandarin capabilities (verbal) to communicate with regional stakeholders, alongside fluent English. Industry Background: Prior experience in the Banking or Financial Services sector is highly preferred. Candidates with a strong background in Data, AI, or Machine Learning platform engineering from other industries will be considered. If this outstanding opportunity sounds like your next career move, please submit your resume in Word format via the Quick Apply Button. #J-18808-Ljbffr

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