Infrastructure Engineer Client Opportunities · BGC, Taguig, Philippines ·

Cloud Bridge; Hinoba-an; Hybrid; PHP 1,000,000 - 1,900,000; Full time

Job summary

Cloud Bridge is seeking an experienced Infrastructure Engineer to design, build, and maintain scalable AWS-based infrastructure platforms. The role emphasizes hands-on automation with Terraform/AWS CDK and development in Python and JavaScript/TypeScript, plus frontend familiarity with React or Angular.

You will collaborate with engineering teams, ensure security and resilience, and stay ahead of cloud and AI governance frameworks while delivering reliable, scalable cloud services.

Qualifications

• Strong AWS experience with cloud infrastructure and automation.
• Experience building and supporting cloud-native applications and services.
• Infrastructure as Code using Terraform and/or AWS CDK.
• Experience with AI technologies and services (e.g., Amazon Bedrock).
• Modern engineering practices including TDD, CI/CD, and source control.
• Hands-on experience with Python and JavaScript/TypeScript.
• Front-end knowledge with React or Angular.
• Understanding of cloud security, resilience, and operational best practices.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, implement, and maintain AWS-based infrastructure solutions meeting business and technical requirements.
• Develop and maintain infrastructure automation using AWS CDK and Terraform.
• Build scalable applications and services using Python, React.js, and JavaScript.
• 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.

Skills

AWS

Terraform

AWS CDK

Python

JavaScript/TypeScript

React

Angular

CI/CD

Security best practices

Communication

Tools

Bedrock (AWS AI)

Job description

Infrastructure Engineer

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
• Build scalable applications and services using Python, React.js, and JavaScript
• 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

Essential Requirements

• 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)
• Modern engineering practices - TDD, CI/CD, source control
• Hands-on Python and JavaScript/TypeScript
• Front-end frameworks - React or Angular
• Understanding of cloud security, resilience, and operational best practices
• Strong analytical, problem-solving, and communication skills

Desirable

• 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