
201 - 500 employees
💼 Consulting
🏥 Healthcare
📣 Marketing
Consulting • Healthcare • Marketing
Jusbrasil is a technology company that simplifies access to legal information. With 15 years of experience, the company aims to improve the efficiency of legal practice for thousands of justice agents across Brazil through innovative solutions. The platform serves over 1. 6 million Brazilians daily, connecting them with qualified lawyers and providing quality legal information. With a unique culture that values freedom and responsibility, Jusbrasil works to bridge the gap between individuals' rights and their enforcement.
🔥 10 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
Where this job comes from
Posted on Jusbrasil's careers page, not through a job board
First seen by Remote Rocketship 10 minutes ago

201 - 500 employees
💼 Consulting
🏥 Healthcare
📣 Marketing
Consulting • Healthcare • Marketing
Jusbrasil is a technology company that simplifies access to legal information. With 15 years of experience, the company aims to improve the efficiency of legal practice for thousands of justice agents across Brazil through innovative solutions. The platform serves over 1. 6 million Brazilians daily, connecting them with qualified lawyers and providing quality legal information. With a unique culture that values freedom and responsibility, Jusbrasil works to bridge the gap between individuals' rights and their enforcement.
• Ensure the reliability, availability, and scalability of infrastructure components and the engineering platform • Build and evolve the Agentic Engineering Platform, including intent orchestration, API execution, code generation, data analysis, and agent-assisted troubleshooting • Design and implement CI/CD Golden Paths integrated with the agentic layer, from templates through PR review, approval, and merging in accordance with guardrails • Measurably reduce the setup time for new services • Develop and implement structural monitoring, observability, and alerting, consolidating metrics, logs, traces, events, and cost data • Evolve the Kubernetes (GKE) foundation with a focus on sustainability, standardization, and intelligent automation • Institutionalize incident management with AI-assisted analysis, connecting detection, diagnosis, and remediation • Create and maintain infrastructure as code with Terraform, including auto-generation, intelligent validation, rollback, recovery, and operational fixes • Support the definition and tracking of SLIs, SLOs, and error budgets • Support critical system migrations, environment segregation, and the deprecation of legacy technologies • Participate in and influence the development of an AI-First engineering culture focused on reliability, automation, and standardization • Collaborate with the SRE Partner, SRE FinOps, and product teams in adopting and evolving the platform
• Strong experience with GCP (GKE, IAM, Pub/Sub, BigQuery) • Strong knowledge of Kubernetes and distributed architecture • Strong knowledge of infrastructure as code (IaC) and Terraform • Proficiency with observability tools and practices, including Prometheus, Grafana, Loki, Tempo, Thanos, OpenTelemetry, and Alertmanager • Ability to analyze logs and the performance of distributed systems • Hands-on experience with GitHub Actions, Argo CD, Helm, and GitOps on GKE • 2+ years of production development experience in Go or Python • Experience with LLM agents in production, including tool use in agentic loops, MCP, and orchestration via Vertex AI, Anthropic, or an equivalent platform • Experience defining and tracking SLOs and error budgets • Experience with incident management, on-call rotations, and postmortems • Previous experience building engineering platforms, Internal Developer Platforms, Golden Paths, or Developer Experience initiatives (nice to have) • Significant contributions to observability, toil reduction, or operations automation (nice to have) • Experience in multi-cloud environments or high-traffic companies (nice to have) • Familiarity with GitOps practices and declarative infrastructure management (nice to have) • Data-driven and AI-First mindset • Close collaboration with SRE Partner, FinOps, and product teams • Platform-builder profile, with a hands-on coding approach
• Remote model: choose where you live—the role remains the same • The freedom to choose where you live without giving up the right opportunity
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