Secure DevSecOps Engineer for AI-Driven Cloud and CI/CD

RAPSYS TECHNOLOGIES PTE LTD; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE LTD in Singapore is seeking a skilled DevSecOps Engineer to join the growing team. The role focuses on integrating security into the DevOps lifecycle, ensuring robust, scalable, and secure systems, and enhancing the development pipeline's security and reliability.

You will leverage PowerShell, Python, Docker, and Kubernetes to automate, monitor, and protect multi-data center hybrid cloud environments, with emphasis on regulatory and high-availability requirements in a

Qualifications

• Degree or diploma in CS, engineering, IT or related discipline.
• Passion for automation, standardisation and security best practices.
• Strong knowledge of SDLC, TDD, CI and CD processes.
• Experience with agentic AI systems, Bedrock AgentCore, orchestration and MCP Server, RAG knowledge base and HITL architecture.

Skills

Automation

Standardisation

Security Practices

SDLC

TDD

CI

CD

AI System Design

RAG Knowledge Base

HITL Architecture

Regulatory Compliance

High Availability

Hybrid Cloud

Troubleshooting

CI/CD Pipelines

GitHub Actions

GitLab CI

Disaster Recovery

Backup and Restore

Security Assessments

Vulnerability Scanning

System Hardening

Network Security

Security Certifications

DevSecOps

API Security

Secrets Management

Zero-Trust

OutSystems Platform

GCC

Regulatory Workflows

Education

Degree in CS/Engineering/IT

Tools

PowerShell

Python

Docker

Kubernetes

Git

GitHub Actions

GitLab CI

RPM Packaging

Cloud-Native Architectures

Observability Tools

Infrastructure Monitoring

Job description

RAPSYS TECHNOLOGIES PTE LTD in Singapore is seeking a skilled DevSecOps Engineer to join the growing team. The role focuses on integrating security into the DevOps lifecycle, ensuring robust, scalable, and secure systems, and enhancing the development pipeline's security and reliability.

You will leverage PowerShell, Python, Docker, and Kubernetes to automate, monitor, and protect multi-data center hybrid cloud environments, with emphasis on regulatory and high-availability requirements in a