DevSecOps Engineer

Job Role:-DevSecOps Engineer

Job Location:- Singapore

Experience:-8+ Years

Seniority Level: Senior Consultant

• Deploy and operationalize machine learning models in production environments.
• Manage MLOps infrastructure, model monitoring, and performance optimization.
• Implement cloud security controls and ensure compliance with security and data governance requirements.
• Manage infrastructure configuration, deployment, and operational readiness.
• Implement data privacy controls, including PII redaction and anonymization.
• Maintain data quality standards across data pipelines and platform operations.
• Develop deployment, configuration, monitoring, and troubleshooting runbooks.
• Collaborate with cross-functional teams and support knowledge transfer on MLOps, security, and platform operations.

• Bachelor’s degree in Computer Science, Engineering, Information Security, or a related field.
• 8+ years of experience in DevSecOps, MLOps, cloud security, or platform engineering.
• Proven experience deploying and monitoring ML models in production environments.
• Strong hands-on experience with AWS cloud infrastructure and cloud security best practices.
• Experience implementing infrastructure security, compliance, and data privacy controls.
• Experience deploying and operating data platforms such as Databricks or equivalent in cloud environments.
• Strong understanding of CI/CD, infrastructure as code, automated testing, and operational monitoring.
• Knowledge of data quality management, including completeness, accuracy, schema validation, and latency monitoring.
• Experience supporting large-scale enterprise or regulated cloud environments is an advantage.