Datadog Admin

Optimum Solutions (Singapore) Pte Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Optimum Solutions (Singapore) Pte Ltd. is seeking an experienced professional to lead enterprise observability and reliability initiatives across infrastructure and applications.

You will drive proactive monitoring, automation, and resilience, collaborating with security and compliance teams to ensure regulatory alignment. The role requires advanced Datadog expertise, hands-on experience with Dynatrace, Splunk, and ELK, and strong automation capabilities using Terraform, Ansible, and Python.

Qualifications

• 2+ years hands-on Datadog administration experience.

Responsibilities

• Define and own Enterprise Observability Architecture aligned with operational resilience mandates (MAS TRM, DORA, APRA CPS 230).
• Deploy and optimise observability platforms (Datadog, Dynatrace, Splunk) for full-stack visibility across infra, application, network, and user experience.
• Implement SRE frameworks for infrastructure and business-critical applications.
• Automate runbooks, alerts, self-healing actions, and auto-remediation workflows via Python, Ansible, and Terraform.

Skills

Datadog administration

Observability

SRE

Automation

Cloud platforms

Regulatory compliance

Incident governance

Education

Bachelor's degree in CS/IT

Tools

Datadog

Dynatrace

Splunk

ELK

Terraform

Ansible

Python

CI/CD tools

AWS

Azure

Job description

Job De ion:

Mandatory is:

Should have recent 2+ years hands‑on working experience as a Datadog administrator who can manage the Datadog platform end-to-end

Essential Key Technical Requirement:

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 5 years of experience in Infrastructure, Cloud, or Site Reliability Engineering (SRE) related roles, with minimum 3 years in an SRE SME capacity, ideally within financial institutions or regulated environments.
• Must have recent working experience in Datadog platform end-to-end
• Must: Hands‑on expertise with Observability Platforms: Datadog, Dynatrace, Splunk, ELK.
• Must: Hands‑on expertise with Automation/IaC: Terraform, Ansible, Python, CI/CD tools.
• Must: Hands‑on expertise with Cloud Platforms: AWS (CloudWatch, X‑Ray, CloudTrail), Azure (Monitor, Log Analytics, App Insights).
• Deep understanding of SRE principles, service health modelling, error budgets, and auto‑remediation design.
• Familiarity with financial sector operational resilience frameworks, regulatory compliance, and incident governance.
• Certification in at least one of the following required:

Datadog Certified Observability Professional / Dynatrace Certified Associate

• Terraform/Ansible/Python Certified Expert
• Certification in the following will be advantageous:
• AWS Certified DevOps Engineer / Azure DevOps Expert
• SRE Foundation/Practitioner (DevOps Institute)
• ITIL v4 Managing Professional

Project Summary:

• Develop and execute enterprise observability and service reliability strategy across all infrastructure and application domains, driving proactive monitoring, automation, and resilience initiatives.

Key Responsibilities

Observability Strategy and Governance:

• Define and own Enterprise Observability Architecture aligned with operational resilience mandates (MAS TRM, DORA, APRA CPS 230).
• Deploy and optimise observability platforms (Datadog, Dynatrace, Splunk) for full‑stack visibility across infra, application, network, and user experience.

Reliability Engineering and Automation:

• Implement SRE frameworks for infrastructure and business‑critical applications.
• Automate runbooks, alerts, self‑healing actions, and auto‑remediation workflows via Python, Ansible, and Terraform.