Elastic Stack Architect: Platform Design & Optimization

Borderless; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Health coverage

Flexible locations

Generous vacation

Donation matching

Volunteer hours

Parental leave

Job summary

Elastic is seeking an experienced Elasticsearch expert to design and operate complex deployments across self-managed and managed environments. You will own sizing, capacity planning, health checks, and upgrade/dr disaster strategies, collaborating with customer teams to deliver reliable, scalable platforms.

Applicants should show 8+ years with Elastic Stack, strong Linux background, and proven ability to optimize indexing, retention, and performance across the full stack.

Qualifications

• 8+ years hands-on with Elastic Stack, cluster/platform work
• Derive shard counts and sizes for workloads
• Design indexing and mapping for performance
• Lifecycle/retention across data tiers
• Snapshot/DR designed and tested, not just configured
• Major version upgrades in production
• Multiple deployment models: self-managed plus managed/orchestrated
• Troubleshoot across heap, GC, circuit breakers, shard allocation and queries
• Elastic Certified Engineer or plan to obtain it in first quarter
• Strong Linux and OS fundamentals with storage/network grounding
• Understand how infra constraints affect Elastic deployments
• Resolve issues where another workload impacts the deployment

Responsibilities

• Design and build Elasticsearch platforms for customers across deployments
• Own sizing and capacity planning from workload characteristics
• Run health checks and remediate production estates; redesign sharding/mapping as needed
• Lead major-version upgrades and DR strategies; manage multi-cluster architectures
• Diagnose performance across Elastic, JVM, OS, storage and network
• Engage with customer architects; run discovery and present designs end-to-end
• Build reusable tooling and AI-assisted diagnosis/reporting tooling
• Mentor consultants and contribute to the GCC's technical practice

Skills

Elastic Stack

Cluster design

Sharding strategy

Index and mapping design

Lifecycle and retention

Snapshot/DR

Upgrades in production

Multi-cluster architectures

Performance troubleshooting

Linux fundamentals

Job description

Elastic is seeking an experienced Elasticsearch expert to design and operate complex deployments across self-managed and managed environments. You will own sizing, capacity planning, health checks, and upgrade/dr disaster strategies, collaborating with customer teams to deliver reliable, scalable platforms.

Applicants should show 8+ years with Elastic Stack, strong Linux background, and proven ability to optimize indexing, retention, and performance across the full stack.