Observability Platform Consultant (Datadog/AWS)
$65k - $125k per yearObservability Platform Consultant (Datadog/AWS) Position Description
CGI is seeking an experienced Observability Platform Consultant to help improve the reliability, monitoring, and operational visibility of critical production services. In this hands-on role, you will work closely with platform and application development teams to implement observability solutions using Datadog, OpenTelemetry, AWS, Terraform, and Python. You will focus on identifying and resolving monitoring gaps, improving alerting and incident response, and developing reusable automation that enables teams to adopt consistent observability practices. This opportunity is ideal for a technical professional who enjoys solving complex production challenges, building developer tools, and improving platform reliability through automation and AI-assisted development. This is a full-time permanent opportunity based in one of CGI's Atlantic Canada offices, including Halifax, NS; Moncton or Fredericton, NB; St. John's, NL; or Stratford, PEI. Candidates must be currently located in Atlantic Canada or willing to relocate. This role follows a hybrid work model requiring three days per week onsite. Your future duties and responsibilities
• Design, implement, and improve observability solutions using Datadog and OpenTelemetry across production applications and services.
• Identify and resolve gaps in logging, metrics, distributed tracing, service metadata, SLOs, dashboards, and monitoring.
• Develop actionable alerts and monitoring strategies that improve incident detection, troubleshooting, and response.
• Build reusable observability solutions using Terraform modules, CI/CD components, templates, and automated validation checks.
• Develop Python automation to scan application repositories, identify observability gaps, implement improvements, and validate results.
• Enhance platform health dashboards by identifying missing reliability indicators and tracking improvements across services.
• Collaborate with application developers and platform teams to implement observability best practices directly within service repositories.
• Integrate observability capabilities into AWS environments, including CloudWatch, ECS, and containerized applications.
• Leverage approved AI-assisted development tools to accelerate automation, implementation, testing, and documentation while maintaining appropriate review controls.
• Promote self-service observability, operational reliability, and continuous improvement across platform services. Required qualifications to be successful in this role
• Strong hands-on experience implementing and supporting observability solutions in production environments.
• Advanced experience with Datadog and OpenTelemetry, including logs, metrics, distributed tracing, dashboards, monitors, and Service Level Objectives (SLOs).
• Strong experience with AWS cloud services, including CloudWatch, ECS, and containerized application environments.
• Hands-on expertise with Terraform and Infrastructure as Code (IaC).
• Strong Python development experience, including building automation scripts, reusable tools, and developer utilities.
• Experience instrumenting, monitoring, and troubleshooting Python applications in production.
• Experience integrating observability and automation into GitLab CI/CD pipelines.
• Strong understanding of application reliability, incident detection, root cause analysis, and monitoring best practices.
• Ability to design reusable platform solutions rather than relying on manual monitoring configurations.
• Understanding of telemetry cost optimization, metric cardinality, data retention, security, privacy, and access controls.
• Strong analytical, troubleshooting, communication, and collaboration skills. Assets
• Experience supporting and instrumenting Java applications.
• Experience with AI-assisted coding tools or agentic development workflows.
• Experience building internal developer platforms or self-service automation.
• Familiarity with Site Reliability Engineering (SRE) principles and production reliability practices.
• Experience developing automated observability compliance checks or service health reporting. CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $65,000–$125,000 CAD. This role is an existing vacancy. #LI-HG Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. To learn more about accessibility at CGI, contact us via email . Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries. Come join our team—one of the largest IT and business consulting services firms in the world.
CGI is seeking an experienced Observability Platform Consultant to help improve the reliability, monitoring, and operational visibility of critical production services. In this hands-on role, you will work closely with platform and application development teams to implement observability solutions using Datadog, OpenTelemetry, AWS, Terraform, and Python. You will focus on identifying and resolving monitoring gaps, improving alerting and incident response, and developing reusable automation that enables teams to adopt consistent observability practices. This opportunity is ideal for a technical professional who enjoys solving complex production challenges, building developer tools, and improving platform reliability through automation and AI-assisted development. This is a full-time permanent opportunity based in one of CGI's Atlantic Canada offices, including Halifax, NS; Moncton or Fredericton, NB; St. John's, NL; or Stratford, PEI. Candidates must be currently located in Atlantic Canada or willing to relocate. This role follows a hybrid work model requiring three days per week onsite. Your future duties and responsibilities
• Design, implement, and improve observability solutions using Datadog and OpenTelemetry across production applications and services.
• Identify and resolve gaps in logging, metrics, distributed tracing, service metadata, SLOs, dashboards, and monitoring.
• Develop actionable alerts and monitoring strategies that improve incident detection, troubleshooting, and response.
• Build reusable observability solutions using Terraform modules, CI/CD components, templates, and automated validation checks.
• Develop Python automation to scan application repositories, identify observability gaps, implement improvements, and validate results.
• Enhance platform health dashboards by identifying missing reliability indicators and tracking improvements across services.
• Collaborate with application developers and platform teams to implement observability best practices directly within service repositories.
• Integrate observability capabilities into AWS environments, including CloudWatch, ECS, and containerized applications.
• Leverage approved AI-assisted development tools to accelerate automation, implementation, testing, and documentation while maintaining appropriate review controls.
• Promote self-service observability, operational reliability, and continuous improvement across platform services. Required qualifications to be successful in this role
• Strong hands-on experience implementing and supporting observability solutions in production environments.
• Advanced experience with Datadog and OpenTelemetry, including logs, metrics, distributed tracing, dashboards, monitors, and Service Level Objectives (SLOs).
• Strong experience with AWS cloud services, including CloudWatch, ECS, and containerized application environments.
• Hands-on expertise with Terraform and Infrastructure as Code (IaC).
• Strong Python development experience, including building automation scripts, reusable tools, and developer utilities.
• Experience instrumenting, monitoring, and troubleshooting Python applications in production.
• Experience integrating observability and automation into GitLab CI/CD pipelines.
• Strong understanding of application reliability, incident detection, root cause analysis, and monitoring best practices.
• Ability to design reusable platform solutions rather than relying on manual monitoring configurations.
• Understanding of telemetry cost optimization, metric cardinality, data retention, security, privacy, and access controls.
• Strong analytical, troubleshooting, communication, and collaboration skills. Assets
• Experience supporting and instrumenting Java applications.
• Experience with AI-assisted coding tools or agentic development workflows.
• Experience building internal developer platforms or self-service automation.
• Familiarity with Site Reliability Engineering (SRE) principles and production reliability practices.
• Experience developing automated observability compliance checks or service health reporting. CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $65,000–$125,000 CAD. This role is an existing vacancy. #LI-HG Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. To learn more about accessibility at CGI, contact us via email . Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries. Come join our team—one of the largest IT and business consulting services firms in the world.
Vacancy posted 10 days ago
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