• Pick up infrastructure change requests from engineering teams • Work the team’s PR review queue • Handle operational fixes and remediations in non-production environments • Triage and respond to Datadog alerts • Support common AWS request patterns • Participate fully in the team’s scrum • Document what you fix; leave runbooks behind

Role Description We are seeking a Site Reliability Engineer (SRE) responsible for ensuring our systems run smoothly and efficiently while engineering solutions to improve visibility, eliminate repetitive tasks, and increase system resilience. The ideal candidate will balance real-time on-call responsibilities with strategic engineering work to achieve sustainable and scalable service reliability. Responsibilities - Participate in on-call rotations to detect and triage service and reliability issues across all environments. - Act as the Incident Commander during major incidents: initiating war room or bridge calls, coordinating cross-functional teams, providing timely and clear status updates to all stakeholders. - Create and maintain meaningful dashboards and alerts. Work with development teams to instrument their code to ensure visibility. - Develop automation to eliminate manual and repetitive operational tasks (toil) related to reliability across both applications and infrastructure. - Implement and track Service Level Indicators (SLIs) and Service Level Objectives (SLOs) defined by the engineering leadership. - Investigate and resolve customer complaints escalated beyond L1 and L2 support, especially those involving performance, reliability, or complex system behavior. Qualifications - Minimum of 3 years of experience supporting enterprise applications as an SRE or similar role with proficiency in writing code in Java, Go, or Python. - Good understanding of distributed systems concepts, microservices architecture, and software design patterns. - Hands-on experience with Kubernetes. You have managed applications on a major cloud provider (GCP, AWS, or Azure), and can troubleshoot common container issues. - Experience setting up dashboards in Grafana and using APM tools like Datadog, New Relic, Signoz. You have a solid understanding of metrics, logs, and traces. - Proficiency in SQL (e.g., PostgreSQL, MySQL). Ability to write complex queries to debug data issues and a basic understanding of database performance. Benefits - Culture: We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. - Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. - Compensation: You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits. What to expect in the hiring process - A preliminary phone call with the recruiter. - A technical interview with the Hiring Manager. - A behavioural and technical interview with a member of the Executive team.

• Design, develop, and maintain infrastructure for AI inference workloads, including GPU scheduling, model deployment pipelines, and data access patterns in on-prem environments • Build and manage monitoring and observability tools for AI inference platforms, including dashboards, alerts, and runbooks for model health and system performance • Collaborate with ML engineers and platform teams to design system architecture for AI workloads, integrate inference runtimes, and test performance at scale

Role Description Buscamos um(a) Site Reliability Engineer (SRE) com experiência em Dynatrace para atuar na evolução da maturidade de observabilidade, confiabilidade e performance de ambientes críticos. O profissional será responsável por apoiar a implementação de práticas de SRE, atuar na redução de ruídos operacionais, análise de causa raiz, definição de indicadores de confiabilidade e evolução contínua da observabilidade das aplicações e serviços. A posição exige forte capacidade analítica, visão sistêmica e habilidade para atuar de forma colaborativa com equipes multidisciplinares de infraestrutura, operações, desenvolvimento e negócio. Principais responsabilidades - Administrar, evoluir e otimizar a plataforma Dynatrace. - Realizar análises de performance e disponibilidade de aplicações e serviços críticos. - Implementar e acompanhar métricas de confiabilidade através de SLIs, SLOs e Error Budgets. - Criar e evoluir dashboards executivos e operacionais. - Desenvolver runbooks, playbooks e procedimentos operacionais. - Conduzir análises de causa raiz (RCA) utilizando métricas, logs, traces e topologia de dependências. - Reduzir falsos positivos, eventos duplicados e ruídos operacionais. - Apoiar a definição e implementação de práticas de observabilidade moderna. - Participar de war rooms e troubleshooting de incidentes críticos. - Conduzir post-mortems sem culpabilização, identificando oportunidades de melhoria. - Apoiar iniciativas de automação operacional e self-healing. - Atuar na construção e priorização de backlog de confiabilidade e observabilidade. - Promover transferência de conhecimento para equipes técnicas e operacionais. - Produzir relatórios técnicos e executivos demonstrando evolução da maturidade operacional. Qualifications - Dynatrace (Application Monitoring, Infrastructure Monitoring, Distributed Tracing e Davis AI). - Observabilidade (Métricas, Logs, Traces e Topologia). - Conceitos de SRE. - SLI, SLO e Error Budget. - Análise de Performance de Aplicações (APM). - Troubleshooting de ambientes distribuídos. - Sistemas Linux e Windows. - Protocolos Web (HTTP, HTTPS, APIs REST). - Bancos de dados relacionais. - ITSM e Gestão de Incidentes. - Conceitos de Cloud Computing (AWS, Azure ou GCP). Requirements - Diploma de nível superior e experiência em operações de TI, observabilidade, monitoramento ou confiabilidade. - Experiência prática com Dynatrace em ambientes corporativos. - Experiência em diagnóstico de aplicações distribuídas. - Vivência em ambientes críticos com requisitos elevados de disponibilidade. Benefits - Certificações Dynatrace Associate ou Professional. - Conhecimento em OpenTelemetry. - Experiência com Kubernetes e containers. - Experiência com automação utilizando Python, Shell Script ou PowerShell. - Conhecimento em Grafana, Prometheus, Elastic, Splunk ou Zabbix. - Experiência em ambientes DevOps e CI/CD. - Vivência com AIOps e automação de operações.