Req number:
R7955Employment type:
Full timeWorksite flexibility:
HybridWho we areCAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
Job Summary
The Senior Infrastructure Administrator - Hybrid, Mandaluyong City serves as the platform administrator for the Bank's SaaS Operations portfolio, currently anchored on Datadog and Azure DevOps but extending to other SaaS tools (such as GitHub and Flexera) over time. The role keeps these platforms healthy and well-administered: resolving daily support and access requests, monitoring platform health, and coordinating with vendors on incidents and service issues.Job Description
We are looking for an Senior Infrastructure Administrator - Hybrid, Mandaluyong City, this senior position is expected to identify recurring issues and build automations in Python, PowerShell, and/or Bash, deployed to Azure Functions, to eliminate or significantly reduce repetitive work. This position will be full-time and hybrid in Mandaluyong City.
What You'll Do
Serve as the platform administrator for the Bank's SaaS Operations portfolio (Datadog, Azure DevOps, and future tools like GitHub and Flexera)
Resolve daily support tickets and access requests
Manage user roles, permissions, and platform access
Monitor platform health proactively
Coordinate with vendor support on incidents, service issues, and product queries
Lead the monthly Datadog Community of Practice (CoP)
Curate topics and present platform updates and walkthroughs
Invite guest speakers as appropriate
Expand CoP coverage to broader SaaS Operations portfolio updates
Define and implement access models (read vs. edit privileges)
Establish training, certification, and onboarding prerequisites for elevated access
Set standards for platform use and ensure compliance by application teams
Coach users and power users on effective integration patterns
Promote good data hygiene practices
Ensure adherence to organizational data handling standards
Stay current with vendor announcements, release notes, and product updates
Translate technical updates into clear, accessible briefings for internal users
Evaluate new platform features released by vendors
Support application teams in proof-of-concept (POC) activities for emerging capabilities (e.g., AI/LLM observability)
Identify recurring support requests and operational patterns
Design and build automations using Python, PowerShell, and/or Bash
Deploy automation solutions via Azure Functions to reduce manual effort
Configure and deploy Datadog components (agents, integrations, private locations)
Maintain platform infrastructure in coordination with server and network engineering teams
Perform all tasks in alignment with agreed Service Level Agreements (SLAs)
What You'll Need
Required:
Strong coding ability in Python, PowerShell, and Bash, with Visual Studio Code as the primary IDE
Experience with enterprise observability platforms (e.g., Datadog)
Experience with Agile/DevOps platforms (e.g., Azure DevOps)
Experience with IT Service Management platforms (e.g., ServiceNow)
Practical experience deploying serverless automations on cloud platforms (e.g., Azure Functions or AWS Lambda), with Azure experience
Proficiency in development tools such as Visual Studio Code
Hands-on experience deploying and administering enterprise observability platforms, including server/agent deployment, integrations, log management, dashboards, monitors, and alerts; experience with Datadog
Hands-on experience administering enterprise Agile/DevOps platforms, including user, project, and pipeline management; experience with Azure DevOps and familiarity with Agile and CI/CD practices
Working knowledge of networking fundamentals to support SaaS agent deployment and on-premises components across enterprise network boundaries
Cloud literacy with hands-on experience in Microsoft Azure; AWS experience
Solid server administration expertise across Windows and Linux environments, including agent installation, configuration, and troubleshooting
Hands-on experience providing third-level technical support in enterprise IT operations, including incident, problem, and change management aligned with ITIL practices and SLA-driven environments
Exceptional written and verbal communication skills, with the ability to translate vendor updates into clear internal briefings and presentations
Strong coaching capability to guide users and power users on platform standards, best practices, and data handling
Strong coordination and stakeholder management skills to engage with internal teams and external vendors
Preferred:
Familiarity with AI coding agents (e.g., GitHub Copilot) and concepts such as system prompts and retrieval-augmented generation (RAG)
Familiarity with SaaS platforms such as GitHub and Flexera
Ability to quickly learn and administer additional SaaS platforms (e.g., GitHub, Flexera) as the portfolio expands
Self-motivated and able to work independently while leading communities of practice and driving automation initiatives
Physical Demands
Ability to safely and successfully perform the essential job functions
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
Reasonable accommodation statement
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [email protected] or (888) 824 – 8111.
