Consulting Architect - Platform

Borderless; Greater London; Hybride; GBP 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Health coverage

Flexible locations

Generous vacation

Donation matching

Volunteer hours

Parental leave

Résumé du poste

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

Responsabilités

• 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

Connaissances

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

Description du poste

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.

What You Will Be Doing

• Design and build Elasticsearch platforms for customers across self-managed, orchestrated and managed deployments, including air-gapped and regulated environments
• 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
• Run health checks and remediation on production estates, and redesign sharding, mapping and index strategies where the original design no longer holds
• Lead major-version upgrades, snapshot and disaster recovery strategy, and multi-cluster architectures
• Diagnose performance problems across the full stack — Elastic, the JVM, the operating system, storage and network — and across adjacent systems in the data path
• 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
• Build reusable tooling, automation and IP that makes the next engagement faster, including AI-assisted tooling for diagnosis, configuration and reporting
• Mentor other consultants and contribute to the GCC's technical practice

What You Bring

Elastic depth — non-negotiable

We are not looking for someone who will learn Elastic on the job.

• 8+ years hands-on with the Elastic Stack, substantially on cluster and platform work rather than dashboarding or pipeline authoring
• 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
• Index and mapping design, and why those choices drive cluster performance
• Lifecycle and retention across data tiers, including the cost and latency implications of each
• Snapshot, restore and disaster recovery designed and executed, not just configured
• Major-version upgrades in production — the sequencing, the breaking changes, the rollback position
• More than one deployment model: self-managed plus at least one managed or orchestrated option
• Cluster stability and performance troubleshooting — heap and garbage collection, circuit breakers, thread pool rejections, shard allocation, expensive queries
• Elastic Certified Engineer, or the demonstrable knowledge to obtain it within your first quarter
• Strong Linux and operating system fundamentals, with solid grounding in storage and networking
• A working understanding of how infrastructure conditions translate into Elastic symptoms, and how infrastructure choices constrain what a deployment can do
• 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

#LI-DS1

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.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [e-mail] We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

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