Our client, is seeking an experienced, highly collaborative Platform Engineer (Observability Engineer) to join their Enterprise Platform Engineering organization.
...
In this strategic platform enablement role, you will be a core member of the centralized Observability Center of Excellence overseeing technology monitoring across an enterprise engineering footprint of over 1,200 engineers. You will guide application and infrastructure squads through platform migrations and onboarding to modern telemetry tools, with a primary focus on instrumenting Datadog (APM, Infrastructure, Serverless, and RUM), Splunk for centralized logging, and Edge Delta for observability pipelines. Acting as an enabler and technical advisor, you will collaborate with internal engineering pods, technical account managers (TAMs), and external vendor partners to establish enterprise observability standards, streamline automation using Terraform or Ansible, enhance platform documentation, and drive operational excellence.
Duration- 12 months.
Advantages
Massive Enterprise Scale: Lead technology monitoring and telemetry enablement across a modern platform supporting 1,200+ engineers globally.
Cutting-Edge Observability Stack: Work directly with leading-edge tools including Datadog (APM, Infra, Serverless, RUM), Splunk, and Edge Delta observability pipelines.
High-Impact Center of Excellence: Serve as an organization-wide enabler guiding architecture standards, best practices, automation workflows, and vendor partnerships.
Modern Cloud & Container Architecture: Gain hands-on exposure deploying and instrumenting observability agents across hybrid multi-cloud (AWS/Azure) and Kubernetes environments.
Responsibilities
Observability Enablement & Onboarding: Guide and support application engineering teams migrating to Datadog using APM, Infrastructure, and Serverless agents, ensuring architectural alignment with enterprise monitoring standards.
Platform Instrumentation: Implement, configure, and maintain telemetry solutions across distributed systems, containerized Kubernetes clusters, Splunk log ingestion paths, and Edge Delta telemetry optimization pipelines.
Automation & Agent Rollouts: Build and execute mass rollout strategies, agent upgrades, and configuration deployments utilizing Infrastructure as Code and configuration management tools (Terraform or Ansible).
Vendor & Stakeholder Collaboration: Partner directly with vendor Technical Account Managers (TAMs) from Datadog, Splunk, and Edge Delta alongside internal application owners to diagnose implementation blockers and accelerate platform adoption.
Logic, Rules & Dashboards: Design and maintain advanced detection logic, alerting rules, real-time monitors, and performance dashboards (including Real User Monitoring - RUM metrics).
Governance & Compliance Alignment: Ensure telemetry data collection adheres to strict enterprise data privacy and regulatory compliance standards (including PII, GDPR, and CCPA).
Continuous Improvement & Tooling: Leverage Generative AI tools to accelerate documentation, implementation workflows, and platform troubleshooting procedures.
Qualifications
Observability Depth: Minimum 4+ years of hands-on professional experience engineering and administering enterprise observability solutions, with demonstrated expertise in Datadog and Splunk.
Detection & Rule Engineering: Minimum 2+ years of dedicated experience writing rules, alerts, and advanced monitoring logic within observability tools.
Agent Instrumentation & Migration: Practical experience migrating application servers, configuring observability agents (APM, Infra, Serverless), and deploying Real User Monitoring (RUM).
Containers & Orchestration: Solid hands-on experience implementing and configuring observability solutions within Docker and Kubernetes environments.
Automation & Cloud: Working knowledge of automation/orchestration tools (Terraform or Ansible) and public cloud infrastructure (AWS or Azure).
Education: College degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical industry experience).
Communication & Collaboration: Exceptional communication, stakeholder management, and interpersonal skills with the ability to bridge technical requirements between engineering teams and vendor partners.
Preferred Assets & Nice-to-Haves
Experience working with Edge Delta or comparable observability pipeline data-optimization technologies.
Prior experience operating within a global eCommerce or high-availability retail digital platform.
Experience functioning within an enterprise Center of Excellence (CoE) or platform enablement model.
Familiarity with CI/CD delivery pipelines, Test Driven Development (TDD), and the Atlassian suite (Jira/Confluence).
Summary
If you are a tech-savvy Platform Engineer who pairs 4+ years of deep observability experience with hands-on Datadog, Splunk, Kubernetes, and Terraform/Ansible automation skills, this opportunity is an ideal next step. Bring your platform enablement mindset, telemetry instrumentation precision, and collaborative drive to our client's enterprise engineering organization today!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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Our client, is seeking an experienced, highly collaborative Platform Engineer (Observability Engineer) to join their Enterprise Platform Engineering organization.
In this strategic platform enablement role, you will be a core member of the centralized Observability Center of Excellence overseeing technology monitoring across an enterprise engineering footprint of over 1,200 engineers. You will guide application and infrastructure squads through platform migrations and onboarding to modern telemetry tools, with a primary focus on instrumenting Datadog (APM, Infrastructure, Serverless, and RUM), Splunk for centralized logging, and Edge Delta for observability pipelines. Acting as an enabler and technical advisor, you will collaborate with internal engineering pods, technical account managers (TAMs), and external vendor partners to establish enterprise observability standards, streamline automation using Terraform or Ansible, enhance platform documentation, and drive operational excellence.
Duration- 12 months.
Advantages
Massive Enterprise Scale: Lead technology monitoring and telemetry enablement across a modern platform supporting 1,200+ engineers globally.
...
Cutting-Edge Observability Stack: Work directly with leading-edge tools including Datadog (APM, Infra, Serverless, RUM), Splunk, and Edge Delta observability pipelines.
High-Impact Center of Excellence: Serve as an organization-wide enabler guiding architecture standards, best practices, automation workflows, and vendor partnerships.
Modern Cloud & Container Architecture: Gain hands-on exposure deploying and instrumenting observability agents across hybrid multi-cloud (AWS/Azure) and Kubernetes environments.
Responsibilities
Observability Enablement & Onboarding: Guide and support application engineering teams migrating to Datadog using APM, Infrastructure, and Serverless agents, ensuring architectural alignment with enterprise monitoring standards.
Platform Instrumentation: Implement, configure, and maintain telemetry solutions across distributed systems, containerized Kubernetes clusters, Splunk log ingestion paths, and Edge Delta telemetry optimization pipelines.
Automation & Agent Rollouts: Build and execute mass rollout strategies, agent upgrades, and configuration deployments utilizing Infrastructure as Code and configuration management tools (Terraform or Ansible).
Vendor & Stakeholder Collaboration: Partner directly with vendor Technical Account Managers (TAMs) from Datadog, Splunk, and Edge Delta alongside internal application owners to diagnose implementation blockers and accelerate platform adoption.
Logic, Rules & Dashboards: Design and maintain advanced detection logic, alerting rules, real-time monitors, and performance dashboards (including Real User Monitoring - RUM metrics).
Governance & Compliance Alignment: Ensure telemetry data collection adheres to strict enterprise data privacy and regulatory compliance standards (including PII, GDPR, and CCPA).
Continuous Improvement & Tooling: Leverage Generative AI tools to accelerate documentation, implementation workflows, and platform troubleshooting procedures.
Qualifications
Observability Depth: Minimum 4+ years of hands-on professional experience engineering and administering enterprise observability solutions, with demonstrated expertise in Datadog and Splunk.
Detection & Rule Engineering: Minimum 2+ years of dedicated experience writing rules, alerts, and advanced monitoring logic within observability tools.
Agent Instrumentation & Migration: Practical experience migrating application servers, configuring observability agents (APM, Infra, Serverless), and deploying Real User Monitoring (RUM).
Containers & Orchestration: Solid hands-on experience implementing and configuring observability solutions within Docker and Kubernetes environments.
Automation & Cloud: Working knowledge of automation/orchestration tools (Terraform or Ansible) and public cloud infrastructure (AWS or Azure).
Education: College degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical industry experience).
Communication & Collaboration: Exceptional communication, stakeholder management, and interpersonal skills with the ability to bridge technical requirements between engineering teams and vendor partners.
Preferred Assets & Nice-to-Haves
Experience working with Edge Delta or comparable observability pipeline data-optimization technologies.
Prior experience operating within a global eCommerce or high-availability retail digital platform.
Experience functioning within an enterprise Center of Excellence (CoE) or platform enablement model.
Familiarity with CI/CD delivery pipelines, Test Driven Development (TDD), and the Atlassian suite (Jira/Confluence).
Summary
If you are a tech-savvy Platform Engineer who pairs 4+ years of deep observability experience with hands-on Datadog, Splunk, Kubernetes, and Terraform/Ansible automation skills, this opportunity is an ideal next step. Bring your platform enablement mindset, telemetry instrumentation precision, and collaborative drive to our client's enterprise engineering organization today!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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