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Strong employer brand, generalist DevOps title, and broad multi-cloud/Kubernetes skillset increase candidate competition.
Requires specialized distributed search, stateful Kubernetes and Linux tuning, limiting cross-industry transferability.
Explicit 7+ years plus deep multi-cloud, Kubernetes, IaC, and search-system experience creates stringent technical filters.
Architect, scale, and maintain core search and NoSQL technologies (Solr, HBase, Redis) for high-performance workloads.
Lead cloud infrastructure evolution using Terraform for multi-cloud environments (AWS/GCP) and manage Kubernetes deployments focusing on stateful workloads.
Implement observability and reliability systems, automate tasks with scripting and AI tools, manage complex networking, and lead incident response and root cause analysis.
7+ years experience in Infrastructure, DevOps, or SRE with significant management of high-scale distributed data systems.
Experience with Solr, HBase, Redis, or equivalent technologies (Elasticsearch, Cassandra, BigTable) at senior level.
Expert-level Linux performance tuning knowledge, Infrastructure as Code experience (Terraform/OpenTofu), and Kubernetes for production stateful workloads.
Strong proficiency in Python or Go coding; practical experience using LLMs to augment engineering productivity.
Senior engineer with deep expertise in search and distributed NoSQL databases and multi-cloud infrastructure architecture.
Technical leader capable of bridging software engineering with systems operations, focusing on scalable, resilient, AI-ready platform infrastructure.
Experienced in automation-first mindset using scripting and AI tools, and skilled in complex systems debugging and incident response in fast-paced environments.