DevOps / Test Automation Engineer - Banking

Unison Group; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Unison Group seeks a DevOps/Test Automation Engineer with 8+ years of experience, including 4+ in banking, focused on data platform DevOps and data test automation.

The role emphasizes change controls, release governance, and CI/CD across data pipelines and APIs, using Git, Jenkins, Azure DevOps or GitLab CI, and Kubernetes/Airflow/GitOps. Strong audit trails and cross-environment promotion are required.

Qualifications

• 8+ years of experience in data platform DevOps or data test automation.
• Experience in banking: change management and segregation-of-duties controls.
• Release governance with approval workflows and deployment audit trails.
• CI/CD for data platforms and APIs, not just application code.
• Experience with Git, Jenkins, Azure DevOps or GitLab CI, and Ansible.
• Kubernetes, Airflow and GitOps tools (Argo CD/Flux).
• Environment promotion and release management across DEV/SIT/UAT/production.
• Automated data regression testing across pipelines, interfaces and dashboards.

Skills

CI/CD

DevOps

Test Automation

Kubernetes

Airflow

GitOps

Deployment governance

Data platforms

Tools

Git (Bitbucket/GitHub/GitLab)

Jenkins

Azure DevOps

GitLab CI

Ansible

Argo CD

Flux

Job description

We are looking for DevOps/Test Automation Engineer with 8+ years, including 4+ in banking on data platform DevOps or data test automation.

Must-have Skills

Banking and controls

• Change management and segregation-of-duties controls in banks
• Release governance with approval workflows and deployment audit trails

DevOps

• CI/CD for data platforms (Teradata, Spark, Qlik, APIs and AI components), not only application code
• Git (Bitbucket, GitLab or GitHub), Jenkins, Azure DevOps or GitLab CI, and Ansible
• Kubernetes, Airflow and GitOps (Argo CD or Flux)
• Environment promotion and release management across DEV, SIT, UAT and production

Test automation

• Automated data regression across pipelines, interfaces, reports and dashboards
• Comparing outputs across environments, releases, backups and processing layers
• Great Expectations, dbt tests, pytest and SQL comparison frameworks; Jira, Xray or ALM

Operations

• Control-M or Autosys scheduling; ServiceNow change integration
• Pipeline monitoring, logging and alerting

Good-to-have Skills

• Testing AI outputs and running evaluation sets in CI/CD
• Teradata and Hadoop deployment tooling

Certifications (preferred): CKA or CKAD; Azure DevOps Engineer Expert; ISTQB.