Skill Compatibility Diagnostics
Live technical match evaluated against role architecture & expected skills.
Consider reviewing the missing technical prerequisites before submitting your application.
Your skills are processed strictly in-memory and never saved to a database.
About the Role
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is the Role
You are the person a customer calls when their Elasticsearch platform is the problem, or when they need one designed properly the first time.
That means you decide the shape of a cluster and then defend that decision — node topology, shard strategy, data tiers, lifecycle and retention — with the sizing arithmetic to back it up. It also means you can follow a performance problem beyond Elastic itself. We need someone whose instinct is to look down the stack and sideways to whatever else shares the infrastructure, rather than stopping at the cluster API.
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
Key Technical Responsibilities
- check_circle Design and build Elasticsearch platforms for customers across self-managed, orchestrated and managed deployments, including air-gapped and regulated environments
- check_circle Own sizing and capacity planning as a derivation from workload characteristics — ingest rate, document shape, retention, query concurrency, growth — validated by benchmark rather than estimated from a form
- check_circle Run health checks and remediation on production estates, and redesign sharding, mapping and index strategies where the original design no longer holds
- check_circle Lead major-version upgrades, snapshot and disaster recovery strategy, and multi-cluster architectures
- check_circle Diagnose performance problems across the full stack — Elastic, the JVM, the operating system, storage and network — and across adjacent systems in the data path
- check_circle Work directly with customer architects, platform owners and engineering leadership; run discovery, present designs, and own the technical outcome of an engagement end to end
- check_circle Build reusable tooling, automation and IP that makes the next engagement faster, including AI-assisted tooling for diagnosis, configuration and reporting
- check_circle Mentor other consultants and contribute to the GCC's technical practice
Prerequisites & Qualifications
- check 8+ years hands-on with the Elastic Stack, substantially on cluster and platform work rather than dashboarding or pipeline authoring
- check Shard strategy you can derive, not recite — how you arrived at a shard count and size for a given workload, what you traded off, and what you got wrong the first time
- check Index and mapping design, and why those choices drive cluster performance
- check Lifecycle and retention across data tiers, including the cost and latency implications of each
- check Snapshot, restore and disaster recovery designed and executed, not just configured
- check Major-version upgrades in production — the sequencing, the breaking changes, the rollback position
- check More than one deployment model: self-managed plus at least one managed or orchestrated option
- check Cluster stability and performance troubleshooting — heap and garbage collection, circuit breakers, thread pool rejections, shard allocation, expensive queries
- check Elastic Certified Engineer, or the demonstrable knowledge to obtain it within your first quarter
- check Strong Linux and operating system fundamentals, with solid grounding in storage and networking
- check A working understanding of how infrastructure conditions translate into Elastic symptoms, and how infrastructure choices constrain what a deployment can do
- check Experience troubleshooting on shared infrastructure, where the cause of your problem is another workload's behaviour and resolving it means engaging the team that owns it
About Elastic Greenhouse Board
Verified hiring organization details.
Elastic Greenhouse Board is a technology and software company based in the United States, operating as an active hiring employer.