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Infrastructure Engineer

Cloud Bridge Tech Recruitment

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

Vacancy posted 18 hours ago
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