DevOps Engineer Contract - TANGSPAC CONSULTING PTE LTD

OpenTalent

Singapore

On-site

SGD 60,000 - 100,000

Full time

14 days+
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Job summary

OpenTalent is seeking a DevOps engineer to collaborate with development teams, enhancing Java-based enterprise workflow apps and streamlining CI/CD pipelines for efficient deployment. You will manage cloud and on‑prem infrastructure, monitor performance, and ensure security and compliance across environments.

The role requires hands-on experience with Docker, Kubernetes, Terraform, Ansible, and various CI/CD tools, plus scripting and agile practice familiarity.

Qualifications

  • Deep hands-on experience with CI/CD pipelines and setup for enterprise apps.
  • Strong containerization and orchestration skills with Docker and Kubernetes.
  • Proficiency across cloud platforms (AWS, Azure, GCP) and IaC (Terraform, Ansible).

Responsibilities

  • Collaborate with development teams to enhance and maintain Java-based enterprise workflow apps.
  • Design and optimize CI/CD pipelines for efficient deployment and release processes.
  • Manage cloud/on-prem infrastructure, monitor uptime, performance, and security.
  • Document processes and promote DevOps best practices across teams.
  • Ensure security/compliance and perform root-cause analysis for incidents.

Skills

CI/CD
Bitbucket
Jenkins
GitLab CI/CD
Azure DevOps
Docker
Kubernetes
Terraform
Ansible
Artifactory
SonarQube
Veracode
JIRA
Confluence
Scripting
Prometheus
Grafana
Splunk
AI/LLM
Agile

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Docker
Kubernetes
Terraform
Ansible
Bitbucket
Jenkins
GitLab CI/CD
Azure DevOps
Artifactory
SonarQube
Veracode
JIRA
Confluence

Job description

Responsibilities
  • Application Development & Maintenance:
    • Collaborate with development teams to enhance and maintain Java-based enterprise workflow applications.
    • Implement and optimize application performance, scalability, and reliability.
    • Troubleshoot and resolve application issues across environments.
  • DevOps Implementation:
    • Design, build, and maintain CI/CD pipelines for efficient application deployment.
    • Automate build, test, deployment, and monitoring processes.
    • Integrate infrastructure as code (IaC) solutions for provisioning and managing resources.
    • Work with the vendors to upgrade the DevOps tools farm and Integrating with tools.
    • Configuring SSO, SSL, Load Balancer, Auto Scaling and DNS setup for the DevOps Toolset with naming convention
  • System Support & Monitoring:
    • Manage cloud-based and on-premise infrastructure supporting enterprise workflow applications.
    • Monitor systems for uptime, performance, and security.
    • Respond to incidents, perform root cause analysis, and implement preventive measures.
  • Collaboration & Documentation:
    • Work closely with development, operations, and QA teams to align DevOps practices.
    • Document processes, tools, and system configurations.
    • Advocate for best practices in DevOps, automation, and application lifecycle management.
  • Security & Compliance:
    • Ensure applications and systems meet security and compliance standards.
    • Implement secure coding practices and conduct regular vulnerability assessments.
Requirements
  • Education:
    • Bachelor’s degree in Computer Science, Engineering, or related field.
    • 2+ years of experience in DevOps engineering.
  • Essential:
    • Deep technical background with hands-on experience with CI/CD tools (Bitbucket, Jenkins, GitLab CI/CD, Azure DevOps, Artifactory, Sonar, Veracode, JIRA and Confluence).
    • Experience with continuous testing, techniques and tools (Junit, Sonar Cube, Veracode etc.)
    • Proficiency in containerization and orchestration (e.g., Docker, Kubernetes).
    • Experience with cloud platforms (e.g., AWS, Azure, GCP) and IaC tools (e.g., Terraform, Ansible).
    • Strong scripting skills (e.g., Bash, Python, Ruby, PowerShell, Groovy).
    • Knowledge of monitoring tools (e.g., Prometheus, Grafana, Splunk).
    • AI/LLM (Generative AI, LLM Engineering)
    • Familiarity with workflow automation tools and enterprise workflow management systems.
    • Strong understanding of Agile and DevOps principles.
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