Fullstack
Greater Rio De Janeiro
Senior GCP DevOps Engineer (AI‑Assisted)
Devops Full-time Associate 1h ago
- AI
- Ai Tools
- Cloud
- Cloud Native
S
Weekend Site Reliability Engineer (SRE) - DevOps/Platform Engineering
Remote
AI Summary
The Weekend SRE will support a DevOps/DBA team by maintaining and improving cloud infrastructure, Kubernetes platforms, and observability tools across global deployments. Key tasks include on-call incident response, alert pipeline management, SLI/SLO definition, and mentoring junior team members. Requires 3+ years of DevOps experience, cloud (AWS) expertise, Kubernetes (EKS), GitOps (ArgoCD/Helm), and scripting (Bash/Python/Golang).
Key Highlights
Weekend SRE role with on-call responsibilities (Sat, Sun, Mon)
Focus on Kubernetes, GitOps, and cloud infrastructure optimization (AWS)
Mentorship and incident response experience required
Key Responsibilities
Maintain and improve cloud infrastructure and Kubernetes platforms across global deployments
Handle weekend on-call operations, including incident triage, root cause analysis, and post-incident reviews
Design and manage alert pipelines to minimize alert fatigue and improve signal quality
Define and maintain SLIs/SLOs for critical services to drive reliability improvements
Collaborate with security agencies for audits and perform internal security sweeps
Mentor junior team members and aid in architecture reconfiguration for rapid deployments
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Technical Skills Required
Benefits & Perks
Competitive salary + quarterly performance-based bonuses
28 days paid annual leave
Remote-first company with sustainability focus
Top-of-the-line equipment
Referral and flash bonuses
Annual company retreats
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Nice to Have
Experience with service mesh concepts (e.g., Cilium)
Familiarity with Rust scripting
JVM optimization experience
Experience with Grafana Faro or OpenTelemetry SDK for RUM
Job Description
What You’ll Be Doing
- Work with a team of DevOps and DBA professionals as a Weekend SRE, covering Saturday, Sunday, and Monday (5 days total with flexible days off).
- Improve existing infrastructure and processes across deployed countries, streamlining deployments for future expansions.
- Continuously enhance Kubernetes platform stability and efficiency, focusing on resource optimization, cost reduction, and GitOps-first environment provisioning.
Monitor and maintain cloud infrastructure via autoscaling, alerting pipelines, and Grafana dashboards covering metrics, logs, traces, and real user monitoring (RUM).
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