Senior SRE – Platform

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Ensure the dependability, availability, and scalability of infrastructure components and the engineering platform.

• Develop and enhance the Agentic Engineering Platform, encompassing intent orchestration, API execution, code generation, data analysis, and agent-assisted troubleshooting.

• Design and execute CI/CD Golden Paths integrated with the agentic layer, from templates through PR review, approval, and merging while adhering to established guardrails.

• Significantly decrease the setup time for new services.

• Create and implement structural monitoring, observability, and alerting, consolidating metrics, logs, traces, events, and cost data.

• Advance the Kubernetes (GKE) foundation with an emphasis on sustainability, standardization, and intelligent automation.

• Institutionalize incident management using AI-assisted analysis, connecting detection, diagnosis, and remediation.

• Develop and maintain infrastructure as code with Terraform, including auto-generation, intelligent validation, rollback, recovery, and operational fixes.

• Assist in defining and tracking SLIs, SLOs, and error budgets.

• Aid in critical system migrations, environment segregation, and the phasing out of legacy technologies.

• Engage in and shape the development of an AI-First engineering culture centered on reliability, automation, and standardization.

• Collaborate with the SRE Partner, SRE FinOps, and product teams to adopt and evolve the platform.

⛳️ Requirements

• Strong experience with GCP (GKE, IAM, Pub/Sub, BigQuery).

• In-depth knowledge of Kubernetes and distributed architecture.

• Strong understanding 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.

• Familiarity with LLM agents in production, including tool use in agentic loops, MCP, and orchestration via Vertex AI, Anthropic, or a comparable platform.

• Experience in defining and tracking SLOs and error budgets.

• Experience with incident management, on-call rotations, and postmortems.

• Previous experience in building engineering platforms, Internal Developer Platforms, Golden Paths, or Developer Experience initiatives (preferred).

• Significant contributions to observability, toil reduction, or operations automation (preferred).

• Experience in multi-cloud environments or high-traffic companies (preferred).

• Familiarity with GitOps practices and declarative infrastructure management (preferred).

• Data-driven and AI-First mindset.

• Close collaboration with SRE Partner, FinOps, and product teams.

• Platform-builder profile with a hands-on coding approach.

🏝️ Benefits

• Remote model: choose where you live—the role remains the same.

• The freedom to choose your residence without sacrificing the right opportunity.