Teams at Elastic

Develop and operate core components of Serverless Elasticsearch, focusing on distributed systems, scalability, performance, resilience, cluster coordination, indexing, data allocation, and concurrency. Investigate and resolve complex performance and stability issues across distributed systems, support engineers with advanced problems, and own technical projects from design through delivery. Collaborate across distributed teams while using Java, algorithms, consensus systems, and AI-assisted development practices.

Designs, builds, and operates core distributed systems for Serverless Elasticsearch. Responsibilities include improving concurrent and consistent indexing, maintaining cluster coordination, scaling shards and nodes, investigating performance and stability issues, supporting complex customer problems, and owning operational resolutions end to end. The role requires deep expertise in distributed systems, consensus algorithms, Java, algorithms, and large-scale system development, along with project ownership and cross-team collaboration.

Designs and develops distributed infrastructure for Serverless Elasticsearch across cloud providers. Owns Kubernetes orchestration, scalable APIs, automation, CI/CD, observability, performance, concurrency, and operational stability. Leads cross-team engineering projects, investigates complex production issues, supports engineers, and improves developer productivity through automation and AI-assisted development.