Senior Cloud Architect, Data & AI Platform on GCP

dbs bank ltd.

Singapore

On-site

SGD 150,000 - 210,000

Full time

5 days ago
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Job summary

DBS Bank Ltd. seeks a Senior Cloud Engineer (Data & AI) to design, build, and operate enterprise-scale analytics platforms on Google Cloud Platform.

You will partner with architects, data scientists, and platform teams to deliver scalable, secure cloud solutions for AI/ML workloads and critical workloads, while providing technical leadership and incident escalation. You will drive observability, automation, and cost efficiency, mentor engineers, and advocate best practices.

Qualifications

  • 10+ years of infrastructure or cloud engineering experience.
  • At least 5 years in GCP.
  • Hands-on experience with Kubernetes and Docker in production.
  • Proficient in Terraform and IaC practices.
  • Experience across hybrid cloud environments.
  • Experience with AI/ML/Generative AI workloads is advantageous.

Responsibilities

  • Design, engineer, and operate scalable data and analytics platforms on GCP.
  • Provide technical leadership and escalate complex production issues.
  • Lead architecture reviews and drive SRE/DevSecOps practices.
  • Mentor engineers and promote engineering best practices.
  • Ensure observability, monitoring, and cost management across BigQuery, Dataproc, Spark.
  • Collaborate with data engineers, scientists and platform teams to deliver secure cloud solutions.
  • Drive incident root cause analysis and permanent corrective actions.

Skills

Stakeholder management
Technical leadership
Communication
Agile delivery
Mentoring
Root cause analysis
SRE practices
Cloud engineering mindset

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes
Docker
Terraform
BigQuery
Dataproc
Spark
Parquet/Avro
OpenTelemetry
Grafana/Prometheus
Kafka

Job description

DBS Bank Ltd. seeks a Senior Cloud Engineer (Data & AI) to design, build, and operate enterprise-scale analytics platforms on Google Cloud Platform.

You will partner with architects, data scientists, and platform teams to deliver scalable, secure cloud solutions for AI/ML workloads and critical workloads, while providing technical leadership and incident escalation. You will drive observability, automation, and cost efficiency, mentor engineers, and advocate best practices.

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