AI Platform DevSecOps Engineer — Cloud, Security & Pipelines

KOPI RECRUIT PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

7 days ago

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Job summary

KOPI RECRUIT PTE. LTD. is seeking a DevSecOps Engineer to own the technical delivery for the AI Platform across SDLC, security controls and cloud-native infra in Singapore. You will design agentic AI pipelines, implement CI/CD automation and ensure safe, compliant data handling.

Responsibilities include API integrations, infrastructure automation, on-call incident response and disaster recovery planning within highly regulated environments. Strong Linux scripting and container skills required.

Qualifications

Degree or diploma in Computer Science, Computer or Electronics Engineering, IT or related disciplines.
Passion for automation, standardisation, and best practices in infrastructure and security.
Strong understanding of the Software Development Life Cycle (SDLC), Test-Driven Development (TDD), Continuous Integration (CI), and Continuous Delivery (CD).
Track record in agentic AI system design with multi-agent pipeline, Bedrock AgentCore, orchestration and MCP Server, RAG knowledge base, HITL architecture.
Experience in regulatory or compliance contexts where agent outputs must be accurate, auditable and structured for legal decision-makers is a significant advantage.
Experience working with high availability, high performance and high-security multi-data centre systems and hybrid cloud environments.
Proficiency in at PowerShell, Python.
Experience with Git and modern branching workflows.
Strong understanding of container technologies (Docker, Kubernetes).
Experience with infrastructure monitoring and observability tools.
Strong ability to troubleshoot complex issues across system resources and application stacks.
Experience with CI/CD pipelines (GitHub Actions, GitLab CI).
Experience with disaster recovery planning, system backup, and restore processes.
Knowledge of RPM-based software packaging and deployment;
Experience implementing security controls within CI/CD pipelines and cloud-native architectures.
Hands-on experience with security assessments, vulnerability scanning and system hardening.
Strong understanding of network infrastructure, including firewalls, subnets, routing and access controls.
Experience performing security assessments in government or highly regulated environments.

Responsibilities

Translate user stories into technical requirements with stakeholders.
Develop and maintain API integrations with STREAM, CAMP and other systems.
Design and build the agentic AI pipeline including LLM API integration and prompt engineering.
Work with QA to deploy, manage, scale and monitor applications in data centres and cloud environments.
Troubleshoot and resolve system and application issues, participate in on-call escalations.
Own end-to-end infrastructure and security solutions across products and systems.
Deploy and manage monitoring tools to track infrastructure performance and health.
Implement infrastructure configuration management for continuity and disaster recovery.
Ensure provision of VMs, databases, containers and licenses for development teams.
Configure and maintain CI/CD pipelines with streamlined release processes.
Develop scripts to support build, integration and deployment across environments.
Automate configuration management of development, QA, and production workloads.
Design and build automation to identify bottlenecks and maximise service availability.
Implement security practices conforming to industry standards to protect data and infrastructure.
Plan, implement and monitor system security architecture, including threat/risk assessments.
Perform security checks like vulnerability assessments and hardening; troubleshoot incidents.
Apply secure configurations and best practices in infrastructure and apps.