Hiring.Camp

Senior Cloud & Infrastructure Engineer

Rimes Technologies

·

Today

Location
Manila, Phillipines · Manila, Manila, Philippines
Workplace
Remote, Hybrid
Department
IT
Seniority
Senior
Source
Greenhouse

Description

About Rimes

Rimes provides the Intelligence Fabric for Capital Markets, a trusted data network and intelligence architecture that transforms fragmented data, operations and workflows into decision-grade intelligence. The world’s leading institutional investors, asset managers, and service providers rely on Rimes to help them make better investment decisions that power more than US$ 75 trillion in AUM annually.

The Opportunity:

The Rimes Technologies Infrastructure Team is the very heart of the Technology Organization, its primary objectives to ensure that the Technology in use by Rimes customers is innovative, reliable, performant, scalable and secure. Delivering world class Customer experience for our both External and Internal users to the Rimes Corporation. 

We operate global services, our teams are both passionate and committed to the demands of our customers ensuring that we are both innovative and proactive in delivering the technology and mission critical data within SLA. Rimes delivers its technology from both our own datacenter and the Cloud. 

We are currently recruiting for a Senior Infrastructure & Cloud Engineer to join our global Technology team. This is an excellent opportunity to join a well-established firm with a global presence and significant growth potential. 

Responsibilities:

  • Act as technical lead for infrastructure and cloud projects, owning delivery from planning through to implementation 
  • Drive architectural decision-making within the infrastructure team, ensuring solutions are scalable, secure, and aligned to best practices 
  • Build, configure, and maintain infrastructure across Microsoft Azure and on-premise environments 
  • Support and optimise VMware-based platforms, including compute, storage, and associated services 
  • Lead incident response for complex issues, acting as an escalation point and driving root cause analysis 
  • Collaborate with cross-functional teams (development, data) to deliver reliable and high-performing platform services  
  • Accurately track and update work in Jira and Tempo, ensuring visibility of progress, discovered work, and blockers 

Requirements:

  • Strong experience supporting hybrid infrastructure environments (cloud and on-premise) 
  • Hands-on expertise with Microsoft Azure, including core infrastructure services 
  • Experience supporting or migrating workloads to Azure-native data platforms 
  • Understanding of Azure data services and how infrastructure underpins data engineering pipelines (e.g. networking, identity, storage, compute provisioning) 
  • In-depth experience of VMware virtualisation and enterprise infrastructure platforms 
  • Strong understanding of Windows Server and core services  
  • Experience using Infrastructure as Code 
  • Proven experience leading technical projects and leading architectural decisions 
  • Proven experience supporting SQL environments and data platform infrastructure 
  • Familiarity with AI-assisted operations tooling (e.g. AIOps platforms, Copilot, AI-driven monitoring and alerting). 

Desirable:

  • Familiarity with automation tools (e.g. Terraform, Ansible) 
  • AWS exposure 
  • Relevant certifications (Azure, VMware, Networking) 
  • Databricks experience 

Work Model: hybrid approach, 2 days per week in our office, hours 5am - 2pm

Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.

Rimes is committed to promote the values of diversity and inclusion throughout the business. Whether it’s through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.

Visit our Careers page to see our complete listings.

Skills

AWSAzureTerraformAnsibleVMwareSQLDatabricksData EngineeringJira

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