Job Role:-DevSecOps Engineer
Job Location:- Singapore
Experience:-8+ Years
Seniority Level: Senior Consultant
Roles & Responsibilities:-- 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.
Skills & Requirements:-- 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.
SG
