Deskripsi Pekerjaan
Nexus Distributed Systems is searching for an experienced Senior Site Reliability Engineer to lead the architectural evolution of our multi-region Kubernetes platforms. In this role, you will eliminate systemic latency, champion infrastructure-as-code paradigms, and build self-healing operational layers for mission-critical distributed databases handling over 250,000 requests per second.
We prioritize automation over toil, observability over intuition, and sustainable engineering over heroics. You will collaborate directly with core product teams to enforce error budgets, streamline CI/CD delivery pipelines, and establish best-in-class reliability benchmarks across our global infrastructure.
Tanggung Jawab
- Architect, scale, and maintain high-availability Kubernetes clusters deployed across multi-cloud infrastructure (AWS/GCP).
- Design automated failover, disaster recovery, and blue-green zero-downtime deployment pipelines using Terraform and ArgoCD.
- Develop custom Prometheus exporters, OpenTelemetry tracing pipelines, and Datadog monitoring suites to isolate bottlenecks.
- Maintain production stability through blameless post-mortems, SLO/SLI governance, and automated self-healing mechanisms.
- Write resilient infrastructure tools and automation microservices primarily in Go and Python.
- Participate in a secondary, well-compensated on-call rotation dedicated to resolving P1/P0 systemic infrastructure incidents.
Kualifikasi
- 5+ years of production experience managing large-scale, distributed Linux environments in AWS or GCP.
- Deep expertise orchestrating production workloads on Kubernetes, including CNI, CSI, and ingress controller tuning.
- Proficiency in programming with Go or Python, with a history of developing internal tooling or operator patterns.
- Advanced production mastery of Infrastructure as Code using Terraform or OpenTofu.
- Proven background establishing observability standards utilizing Prometheus, Grafana, OpenTelemetry, and distributed tracing.
- Demonstrated experience defining, implementing, and reporting on SLIs, SLOs, and Error Budgets across complex architectures.