DNA AI TECHNOLOGIES PTE. LTD.
Devops Automation Engineer
- Compensation
- SGD 8.5K–SGD 10.5K / mo
- Location
- Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Full description
Key Responsibilities
- Production Support & Operational Excellence (L2)
- Provide robust L2 production support for mission-critical enterprise applications, ensuring compliance with SLAs, KPIs, and operational standards.
- Monitor application health, system performance, and infrastructure stability using enterprise monitoring tools (e.g., OMI, ElasticSearch, Kibana, Monitoring-as-Code).
- Perform root-cause analysis (RCA) for complex operational incidents and implement permanent corrective and preventive actions (CAPA).
- Support enterprise file transfers (CFT), batch job schedulers (BMC Control-M, Autosys, TWS), and messaging queues (IBM WebSphere MQ).
- Maintain comprehensive runbooks, Standard Operating Procedures (SOPs), and operational knowledge bases.
- Participate in change management, release planning, and incident response, including after-hours/on-call rotational support during critical outages or scheduled maintenance.
- DevOps, CI/CD & Deployment Automation
- Manage and optimize CI/CD automation pipelines using Jenkins, Maven, Git, and Cucumber to ensure seamless application releases.
- Develop, maintain, and troubleshoot Terraform scripts for Infrastructure as Code (IaC) provisioning and cloud resource lifecycle management.
- Write, refine, and execute Ansible Playbooks for configuration management, automated patch deployment, server provisioning, and routine operational task automation.
- Execute database deployment automation using tools such as Flyway and Liquibase, alongside orchestrators like Rundeck.
- Containerization & Cloud Orchestration
- Administer and support Docker containers, including container image creation, optimization, security scanning, and deployment.
- Manage Kubernetes clusters for container orchestration, scaling, high availability, and deployment management.
- Utilize packaging and continuous deployment tools such as ArgoCD and Helm for cloud-native application delivery across AWS and Google Cloud Platform (GCP).
- Environment & Database Maintenance
- Administer Unix/Linux (Red Hat) and Windows Server environments supporting Java/J2EE applications (WebSphere, JBoss, Tomcat, IIS).
- Support Relational Database Management Systems (RDBMS) including , , , and .