Full Time Cloud and AI Engineer (Banking MNC) Jobs, in Adecco - Maukerja

Adecco is partnering with a leading financial services organization to hire a Cloud & AI Engineer to develop, deploy, and support cloud-based solutions across AWS, Google Cloud Platform (GCP), and Microsoft Azure.

This is a hands-on engineering and delivery role focused on translating business and project requirements into practical cloud implementations. You will work closely with architecture, cybersecurity, infrastructure, application, and data teams to implement secure and scalable solutions.

The role also provides exposure to AI, Generative AI, and graph-based solutions, including Amazon Neptune, Google Vertex AI, Gemini, and other cloud AI capabilities.

This is an excellent opportunity for a Cloud Engineer who enjoys hands-on implementation, automation, integration, and production support within an enterprise environment.

Working Arrangement: Onsite

Working Hours: Monday - Friday, 9am - 6pm

• Strong hands-on experience with at least one major cloud platform: AWS, GCP, or Microsoft Azure.
• Good working knowledge of a second cloud platform.
• Experience deploying, integrating, and supporting cloud applications and services.
• Understanding of IAM, service accounts, roles, policies, and least-privilege access.
• Experience with cloud networking, REST APIs, and application integrations.
• Experience with Terraform or another Infrastructure as Code tool.
• Understanding of Git, CI/CD, and controlled deployment practices.
• Experience troubleshooting cloud applications, services, and production issues.
• Ability to engage business stakeholders and collaborate effectively with architecture, security, infrastructure, data, and application teams.
• Strong written and verbal communication skills.

You will ideally have:

• Hands-on experience with Amazon Neptune.
• Experience with graph databases, knowledge graphs, Gremlin or SPARQL.
• Exposure to Google Vertex AI and Gemini services.
• Experience with AWS AI/ML services or Microsoft Azure AI services.
• Python development or scripting experience.
• Experience with Docker, containers, or Kubernetes.
• Knowledge of Microsoft Graph, JSON, or custom API integrations.
• Experience with Jenkins, Azure DevOps, or equivalent CI/CD tooling.
• Knowledge of cloud monitoring, logging, secrets management, and enterprise authentication.
• Experience with data platforms, databases, and data integration services.
• Experience within banking, financial services, or another regulated environment.
  
  

• Work with business and technology teams to understand requirements and translate them into practical cloud solutions.
• Build, configure, deploy, and support workloads across AWS, GCP, and Microsoft Azure.
• Support cloud account, project, subscription, and environment setup, including identity and access configuration.
• Deploy and integrate cloud services supporting business applications, data solutions, and AI use cases.
• Configure and troubleshoot networking, connectivity, APIs, authentication, permissions, and service dependencies.
• Support Amazon Neptune and graph-based solutions, including connectivity, application integration, data loading, monitoring, and operational support.
• Support AI and Generative AI services, including Google Vertex AI, Gemini, and equivalent AWS and Azure capabilities.
• Integrate approved AI services with applications, APIs, data sources, and enterprise authentication mechanisms.
• Develop and maintain cloud infrastructure automation using Terraform or equivalent Infrastructure as Code tooling.
• Support CI/CD and automated cloud deployment processes.
• Monitor cloud workloads and investigate production incidents across application services, APIs, networking, authentication, and data services.
• Support testing, release validation, root-cause analysis, and post-deployment checks.
• Maintain technical documentation, deployment records, and operational support procedures.
• Provide technical updates, demonstrations, documentation, and knowledge transfer to stakeholders.
  
  

• Hands-on exposure across AWS, GCP, and Microsoft Azure within an enterprise environment.
• Opportunity to work on AI, Generative AI, and graph-based technology use cases.
• Exposure to Amazon Neptune, Vertex AI, Gemini, Infrastructure as Code, APIs, and CI/CD technologies.
• Opportunity to work closely with architecture, cybersecurity, infrastructure, application, and data teams.
• End-to-end exposure from cloud solution implementation through deployment and production support.
  

• Send your updated resume to *************
• Email Title: Apply Cloud & AI Engineer
• All shortlisted candidates will be contacted.

Jason Lew Hong Kang
Principal Consultant, Adecco
EA Licence Number: 91C2918
Personnel Registration Number: R1876435