Senior DevOps Engineer — CI/CD, Automation & AI-Driven Delivery

Devopsroles

Manila

Hybride

PHP 900 000 - 1 300 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Unlimited vacation
Hybrid working arrangements
Paid time off for voting, bereavement,
Wellbeing and health benefits
Volunteer time off

Résumé du poste

Finastra is seeking an experienced DevOps professional to assure seamless transition of applications and infrastructure from development to production in Manila, Philippines. You will implement CI/CD pipelines, introduce new DevOps tools, and oversee end-to-end automation to accelerate high-quality software releases.

Responsibilities include maintaining a stable DevOps environment, collaborating with RD and customer teams, and embedding AI to drive productivity and continuous improvement across

Qualifications

  • 6+ years in IT with at least 3 years hands-on DevOps
  • Experience with CI/CD, automation, release management and deployment pipelines
  • 3+ years in IBMi, DB2/400, RPG and CL ILE programming would help

Responsabilités

  • Deliver DevOps strategy aligning with product roadmap
  • Introduce and configure DevOps tools and CI/CD pipelines
  • Maintain stable DevOps infrastructure and monitor performance
  • Collaborate with R&D, product teams and customers on releases

Connaissances

DevOps
CI/CD
Automation
Scripting
Communication
Docker
Terraform
Jenkins
Git
Security scanning
Team collaboration

Formation

Bachelor's degree in Computer Science/IT/Engineering

Outils

Ansible
Terraform
Docker
Jenkins
GitHub Actions
SonarQube

Description du poste

Finastra is seeking an experienced DevOps professional to assure seamless transition of applications and infrastructure from development to production in Manila, Philippines. You will implement CI/CD pipelines, introduce new DevOps tools, and oversee end-to-end automation to accelerate high-quality software releases.

Responsibilities include maintaining a stable DevOps environment, collaborating with RD and customer teams, and embedding AI to drive productivity and continuous improvement across

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