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terraform aws mongodb grafana prometheus📋 Description
- Define and evolve architecture for large-scale distributed data platforms.
- Lead design of highly available clusters for MongoDB, Elasticsearch, and Kafka.
- Solve complex distributed systems trade-offs across scale, resilience, and security.
- Influence teams to adopt platform standards, automation, and self-service.
- Partner with engineering and product leadership to align platform with business goals.
- Establish reliability targets and observability for multi-cluster Kubernetes workloads.
🎯 Requirements
- 8+ years in platform engineering, SRE, or distributed systems.
- Expertise operating MongoDB, Kafka, or Elasticsearch at high scale.
- Design large-scale Kubernetes environments with Helm, Kustomize, ArgoCD; stateful workloads a plus.
- Strong programming skills in Python, Java; building internal platform APIs and automation tooling.
- Extensive experience with Terraform and cloud-native deployment models.
- Hands-on experience operating enterprise-scale workloads in AWS.
🎁 Benefits
- Global organization valuing diversity.
- Culture of lifelong learners and collaboration.
- Work with leading cloud platforms and AI/ML tech.
- Growth opportunities and recognition.
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