DevSecOps Engineer: ML Production & Security for GCC Cloud

VINOVA PTE. LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Vinova is seeking a DevSecOps Engineer to lead the deployment and operation of ML models and data platforms within government-compliant cloud environments.

You will collaborate with data scientists to ensure security, data quality, and regulatory compliance, and you will craft runbooks to enable scalable, reliable production pipelines. This role requires hands-on security, cloud architecture, and risk management across GCC or similar standards.

Qualifications

• Degree in Computer Science, Engineering, Information Security, or related field.
• 8+ years in MLOps, security engineering, or cloud compliance.
• Experience deploying ML models in production with monitoring and performance management.
• Hands-on with government or public-sector security frameworks.
• Experience implementing data privacy controls such as PII redaction and anonymisation.
• Experience securing large-scale government or public-sector platforms as lead security or MLOps engineer.

Responsibilities

• Deploy ML models into production and collaborate with Data Scientists.
• Manage ML infrastructure and monitor model performance for reliability.
• Ensure platform security and GCC baseline compliance and data privacy controls.
• Configure, deploy, and operate data platforms in GCC environments.
• Develop infrastructure runbooks for deployment, configuration, and troubleshooting.
• Collaborate with internal teams to transfer MLOps, security, and data quality capabilities.

Skills

MLOps

Security engineering

Cloud security

Data privacy

Compliance

AWS

Databricks

MLOps monitoring

Education

Bachelor's degree in CS/Engineering

Tools

AWS

Databricks

CI/CD pipelines

IAM

Job description

Vinova is seeking a DevSecOps Engineer to lead the deployment and operation of ML models and data platforms within government-compliant cloud environments.

You will collaborate with data scientists to ensure security, data quality, and regulatory compliance, and you will craft runbooks to enable scalable, reliable production pipelines. This role requires hands-on security, cloud architecture, and risk management across GCC or similar standards.