Lead architecture, development, deployment of large-scale search/data platforms
Act as technical lead for Search & Elastic technologies across engagements
Define engineering standards and reference architectures
Design and supervise ingestion pipelines for documents, metadata, logs, and events
Build search, observability, and detection using Kibana dashboards, alerts, monitoring
Deploy/operate cloud-native workloads on Azure and/or AWS with Kubernetes, Docker, Helm, Terraform

🎯 Requirements

6+ years in software/cloud/platform engineering; 4+ years with production Elasticsearch
Strong Elastic Stack expertise: Elasticsearch, Kibana, Logstash, Beats
Experience in data ingestion and observability solutions
Backend skills: Java, Spring Boot, REST APIs, SQL, PostgreSQL/Oracle
Azure and/or AWS, Kubernetes, Docker, Helm, Terraform, Ansible, Nginx
DevOps practices, CI/CD, IaC, monitoring

🎁 Benefits

In-person collaboration with flexible work arrangements

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