Infrastructure Engineer

Cloud Bridge Tech Recruitment; Taguig; Hybrid; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work model

On-site at BGC, Taguig

Job summary

Cloud Bridge Tech Recruitment is seeking an experienced Infrastructure Engineer in Taguig, Philippines for hybrid work setup (2x WFH, 3x RTO). You will design, build, and maintain scalable AWS-based infrastructure platforms with AI-enabled capabilities and modern deployment practices.

The role emphasizes automation (Terraform/AWS CDK), collaboration with engineering teams, and adherence to security and governance standards while staying current with generative AI developments.

Qualifications

• Design and maintain AWS-based infrastructure meeting business and technical needs.
• Develop infrastructure automation with AWS CDK and Terraform.
• Collaborate with stakeholders to deliver technical solutions.
• Ensure cloud platforms' performance, reliability, and efficiency.
• Follow security and AI governance frameworks.
• Stay current with cloud, distributed systems, and generative AI developments.
• Experience with AI services (e.g., Amazon Bedrock).
• Containerisation and modern deployment practices.
• Strong communication and problem-solving skills.
• AWS certifications (Developer Associate, AI Practitioner, or Solutions Architect Associate).

Responsibilities

• Design, implement, and maintain AWS-based infrastructure solutions.
• Develop and maintain infrastructure automation using Terraform and CDK.
• Collaborate with stakeholders and engineering teams to deliver effective solutions.
• Support continuous improvement of cloud platforms—performance, reliability, and operational efficiency.
• Contribute to solution design discussions and technical standards.
• Investigate and resolve technical issues across cloud environments.
• Share knowledge and support less experienced team members.
• Follow established SDLC, security, and AI governance frameworks.
• Stay current with cloud computing, distributed systems, and generative AI developments.

Skills

Analytical skills

Problem-solving

Communication skills

Team collaboration

Tools

AWS

Terraform

AWS CDK

React

Angular

Bedrock

Containerisation

CI/CD

Security

Job description

Hybrid set-up (2x WFH, 3x RTO/week) | BGC, Taguig

We're looking for an experienced Infrastructure Engineer to join our client's team. You'll design, build, and maintain scalable AWS-based infrastructure platforms, with a strong programming background and hands-on experience delivering cloud-based solutions using AI technologies.

Role Responsibilities

• Design, implement, and maintain AWS-based infrastructure solutions meeting business and technical requirements
• Develop and maintain infrastructure automation using AWS CDK and Terraform
• Collaborate with stakeholders and engineering teams to deliver effective technical solutions
• Support continuous improvement of cloud platforms - performance, reliability, and operational efficiency
• Contribute to solution design discussions and technical standards
• Investigate and resolve technical issues across cloud environments
• Share knowledge and support less experienced team members
• Follow established SDLC, security, and AI governance frameworks
• Stay current with cloud computing, distributed systems, and generative AI developments
• Strong AWS experience - cloud infrastructure and automation
• Experience building and supporting cloud-native applications and services
• Infrastructure as Code - Terraform and/or AWS CDK
• Experience with AI technologies and services (e.g., Amazon Bedrock)
• Front-end frameworks - React or Angular
• Understanding of cloud security, resilience, and operational best practices
• Strong analytical, problem-solving, and communication skills
• AWS certifications (Developer Associate, AI Practitioner, or Solutions Architect Associate)
• Automated testing frameworks and QA practices
• AI-assisted development tools and workflows
• Integrating AI solutions with enterprise applications and data sources
• Observability and monitoring tools
• Containerisation and modern deployment practices