DevSecOps Engineer (IMDA)

Company Overview

Vinova is an award-winning development company specializing in mobile, web, and enterprise applications. Since 2010, it has delivered global projects in IoT, blockchain, fintech, networking, and ecommerce, focusing on quality, flexibility, and speed.

Job Summary

The DevSecOps Engineer will lead the deployment and operational management of ML models and data platforms, ensuring security, compliance, and data quality in government-compliant cloud environments.

Responsibilities

Deploy and operationalize ML models into production, collaborating closely with Data Scientists to ensure smooth handoff and integration

Manage ML infrastructure and continuously monitor model performance to maintain reliability and accuracy over time

Implement and maintain platform security and compliance with IM8, Government Commercial Cloud (GCC) security baselines, and relevant data regulations

Apply data privacy controls such as blurring personally identifiable information (PII) in sensitive data sources like CCTV feeds

Configure, deploy, and ensure operational readiness of data platforms within GCC environments

Implement infrastructure security controls aligned with GCC security requirements

Define and enforce data quality standards across the platform, ensuring data completeness, accuracy, schema conformity, and latency compliance before downstream use

Develop detailed infrastructure runbooks covering deployment, configuration, and troubleshooting processes

Collaborate with internal teams to transfer MLOps, security, compliance, and data quality capabilities progressively

Required competencies and certifications

Degree in Computer Science, Engineering, Information Security, or related field

Minimum 8 years' experience in MLOps, security engineering, or compliance for cloud platforms

Proven ability to operationalize and deploy ML models in production environments, including model monitoring and performance management

Hands-on experience with government or public-sector security compliance frameworks

Experience implementing data privacy controls such as PII redaction and anonymisation

Experience securing large-scale, high-sensitivity government or public-sector platforms as lead security or MLOps engineer

Extensive hands-on experience operating AWS cloud infrastructure with security and compliance expertise

Experience deploying and operating data platforms (e.g., Databricks or comparable) in cloud or government-compliant environments from build to production monitoring and incident response

Strong understanding of data quality dimensions including completeness, accuracy, format compliance, schema conformance, and latency, with experience building automated pipeline tests

Demonstrated experience delivering comparable data platform projects internationally at city-level or above