jobs in CMC-APAC PRIVATE LIMITED

Kerja Sepenuh Masa DevSecOps Engineer (GenAI), Gaji tinggi SGD 5,500 di CMC-APAC PRIVATE LIMITED Central Region (Singapore) - Maukerja

DevSecOps Engineer (GenAI)

CMC-APAC PRIVATE LIMITED

Central Region (Singapore)

Kongsi
Simpan

Lokasi Kerja

  • 1 FINLAYSON GREEN Central Region (Singapore) Singapore

Penerangan Kerja

Tanggungjawab

We are seeking a DevSecOps Engineer to manage the security, reliability, scalability, and compliance of cloud platforms, Kubernetes environments, CI/CD pipelines, and AI infrastructure. This role will drive secure platform operations, infrastructure automation, and cloud governance while enabling the safe deployment of Generative AI workloads.

Key Responsibilities

Cloud & Kubernetes Platform

  • Manage and scale AWS environments and Kubernetes clusters on Amazon EKS.
  • Own cluster architecture, deployment, security, upgrades, autoscaling, monitoring, and incident resolution.
  • Ensure platform reliability, resilience, and operational readiness.

AWS Infrastructure & Networking

  • Administer AWS services including RDS PostgreSQL, OpenSearch, Bedrock, and ELB.
  • Design and support secure AWS network architectures, covering VPCs, subnets, Transit Gateway, firewalls, WAF, PrivateLink, VPN, Direct Connect, DNS, and load balancing.
  • Apply network segmentation and least-privilege principles.

Reliability, Monitoring & Operations

  • Establish SLI/SLO frameworks, monitoring dashboards, alerting, logging, metrics, and tracing.
  • Lead incident management, root cause analysis, capacity planning, backup validation, and disaster recovery testing.

Infrastructure Automation & CI/CD

  • Build and manage AWS and Kubernetes environments using Terraform.
  • Maintain GitLab CI/CD pipelines with:Automated testingSAST / DASTDependency and container scanningPolicy enforcementRelease approvalsRollback mechanismsAudit-ready deployment records

Security & Compliance

  • Implement security controls throughout the platform lifecycle.
  • Conduct threat modelling, architecture reviews, vulnerability management, patching, hardening, risk assessments, and audit support.
  • Translate regulatory and security requirements into automated platform controls.

Identity & Supply Chain Security

  • Manage IAM, workload identities, privileged access, secrets, certificates, container security, SBOMs, and dependency governance.
  • Ensure secure handling of credentials and platform changes.

Platform Transition & Documentation

  • Review existing platform architecture and operational configurations.
  • Support infrastructure knowledge transfer and operational transition activities.
  • Maintain architecture diagrams, runbooks, procedures, and technical documentation.

Requirements

Experience

  • 2 to 5+ years of experience in DevOps, DevSecOps, Cloud Engineering, or related roles.
  • Strong hands-on experience with Kubernetes and Terraform in production environments.

Technical Skills

  • Strong AWS infrastructure and Amazon EKS expertise.
  • Experience with Kubernetes networking, ingress controllers, load balancers, service discovery, network policies, and connectivity troubleshooting.
  • Strong knowledge of AWS networking, including VPCs, Transit Gateway, PrivateLink, Route 53, VPN, Direct Connect, Security Groups, and Network ACLs.
  • Experience designing and maintaining GitLab CI/CD pipelines.

Operational Excellence

  • Experience with monitoring, alerting, incident response, root cause analysis, capacity management, backup and recovery, and disaster recovery planning.

Regulated Environments

  • Experience supporting platforms within highly regulated environments.
  • Understanding of governance, audit requirements, change management, risk management, segregation of duties, and secure data handling.

Communication

  • Ability to communicate technical concepts to both technical and business stakeholders.
  • Strong documentation skills, including architecture diagrams, operational procedures, runbooks, and risk assessments.

Preferred Skills

  • Experience operating AI or agentic AI platforms.
  • Familiarity with agent observability, distributed tracing, prompt management, evaluation pipelines, and secure model integrations.
  • Experience supporting production AI/ML workloads, including monitoring latency, usage, cost, and responsible AI controls.

Peringatan Penting

Jangan pernah kongsikan maklumat bank atau kad kredit anda semasa memohon pekerjaan. Elakkan membuat sebarang pembayaran atau mengisi survey yang tidak berkaitan. Jika ada yang mencurigakan, sila laporkan iklan pekerjaan ini segera.

Lebih Lanjut