Datadog Engineer - OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD

OpenTalent; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

OpenTalent in Singapore is seeking a Datadog Engineer with 5+ years in infrastructure, cloud or SRE roles, including at least 3 years in an SRE SME capacity, ideally in regulated environments.

You will own end-to-end Datadog administration, deploy observability across the full stack, and design auto-remediation workflows using Python, Terraform and Ansible.

The role requires AWS/Azure experience, a solid grasp of SRE principles and incident governance within financial services.

Qualifications

• Degree in Computer Science/Information Technology or related fields.
• 5+ years in Infrastructure, Cloud, or SRE roles; 3+ years in an SRE SME capacity; regulated environments preferred.
• Mandatory 2+ years hands-on Datadog administration experience; end-to-end Datadog management.

Responsibilities

• Define and own Enterprise Observability Architecture aligned with resilience mandates.
• Deploy and optimize observability platforms (Datadog, Dynatrace, Splunk) for full-stack visibility.
• Implement SRE frameworks; automate runbooks, alerts, self-healing actions, and auto-remediation workflows.

Skills

Datadog

Dynatrace

Splunk

ELK Stack

Terraform

Ansible

Python

CI/CD

AWS

Azure

SRE

Education

Bachelor's degree in CS/IT

Tools

Terraform

Ansible

Python

CI/CD tools

Job description

Job Description:

Essential Key Technical Requirement:

• Role: Datadog Engineer
• 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.
• Mandatory is : Should have recent 2+ years hands-on working experience asa Datadog administrator who can manage the Datadog platformend-to-end
• 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 CertifiedObservability Professional / Dynatrace Certified Associate
• Terraform/Ansible/Python Certified Expert
• Certification in the following will be advantageous:
• AWSCertified 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:

ObservabilityStrategy and Governance:

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

ReliabilityEngineering and Automation:

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