Analista de Observabilidade Sênior - Vaga Afirmativa para Mulheres

Accountabilities:

• • Act as the technical and functional reference for Datadog across the organization, supporting its implementation, administration, governance, and continuous evolution.
  • Design, implement, and improve observability solutions using Datadog APM, Infrastructure Monitoring, Logs Management, Dashboards, Real User Monitoring (RUM), Synthetic Monitoring, and Continuous Testing.
  • Define and maintain enterprise observability standards for applications, APIs, microservices, and cloud workloads.
  • Build and maintain executive, operational, and analytical dashboards to provide visibility into platform health and performance.
  • Develop proactive monitoring strategies based on SLIs, SLOs, SLAs, and relevant business indicators.
  • Create, review, and optimize intelligent monitors and alerts to reduce operational noise, false positives, and unnecessary escalations.
  • Support development teams with application instrumentation using OpenTelemetry and native Datadog integrations.
  • Lead root-cause analysis (RCA) for critical incidents and recommend structural improvements to prevent recurrence.
  • Identify opportunities for automation, predictive failure detection, automated incident response, and self-healing.
  • Conduct periodic assessments of capacity, performance, availability, reliability, and end-user experience.
  • Develop training materials, playbooks, standards, and technical documentation related to observability and monitoring practices.
  • Promote a culture of observability, reliability, and operational excellence across technical teams.
  • Translate technical indicators and operational events into business impact and actionable recommendations.
  • Influence engineering practices and reliability standards across multiple teams and contribute to the organization's broader observability maturity.

  Requirements:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
  • Advanced hands-on experience with Datadog, including implementation, administration, configuration, and platform evolution.
  • Strong practical experience with Datadog APM, Infrastructure Monitoring, Logs Management, Dashboards, Monitors, and Service Catalog.
  • Advanced understanding of the core observability pillars: logs, metrics, and distributed tracing.
  • Experience monitoring APIs, microservices, and distributed architectures.
  • Professional experience working with AWS and cloud environments.
  • Strong troubleshooting and complex incident investigation capabilities.
  • Experience with OpenTelemetry and application instrumentation.
  • Knowledge of automation using Python, Shell Script, or PowerShell.
  • Experience with Kubernetes, Docker, and cloud-native ecosystems.
  • Solid understanding of system availability, performance, scalability, and reliability.
  • Ability to connect technical metrics and operational events with business outcomes.
  • Excellent communication skills and the ability to collaborate with multiple technical and business stakeholders.
  • Investigative, analytical, and problem-solving mindset with a strong focus on continuous improvement.
  • Strong sense of ownership and operational responsibility.
  • Ability to influence technical teams and encourage the adoption of observability and reliability best practices.
  • Collaborative and consultative approach, with the ability to train and enable other teams.
  • Experience with SRE practices is desirable.
  • Datadog Certified Associate certification or higher is a plus.
  • Experience designing observability strategies for large-scale distributed environments is an advantage.
  • Knowledge of CI/CD and DevSecOps practices is desirable.
  • Experience with automated incident response and self-healing processes is a plus.
  • Familiarity with ITIL, incident management, Problem Management, and operational governance is desirable.
  • Experience with tools such as Dynatrace, Grafana, Prometheus, Elastic Stack, or Zabbix is an advantage.

  Benefits:

  • Senior-level opportunity with significant influence over enterprise observability and reliability strategy.
  • High-visibility work impacting multiple engineering and technology teams.
  • Opportunity to lead automation, intelligent observability, and incident-reduction initiatives.
  • Professional development through exposure to advanced cloud-native technologies and modern observability practices.
  • Opportunity to work with Datadog, OpenTelemetry, AWS, Kubernetes, Docker, and related technologies.
  • Collaborative environment involving Engineering, Architecture, Development, SRE, and Operations teams.
  • Inclusive workplace culture focused on diversity, equity, and professional growth.
  • Position specifically designed as an affirmative opportunity for women, supporting greater gender equity in technology leadership.
  • Access to initiatives and communities focused on women's development, leadership, networking, and career advancement.
  • Remote work arrangement in Brazil.