Consulting Architect - Search

Posted Yesterday
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Hiring Remotely in India
Remote
Senior level
Cloud • Security • Software • Generative AI
Elastic, the Search AI Company, helps everyone find the answers they need in real time, using all their data, at scale.
The Role
Lead strategic design, architecture, and hands-on implementation of Elastic Stack and Search AI solutions for enterprise customers. Conduct workshops, gather requirements, develop proofs of concept, optimize queries and clusters, and deliver scalable search platforms. Manage project objectives, dependencies, timelines, and customer relationships. Collaborate with engineering, product, support, and sales teams, provide product feedback, assess technical risks, and mentor team members. Periodic client-site travel of up to 20% is required.
Summary Generated by Built In

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

We are seeking an exceptional and highly experienced Consulting Architect to join our Global Capability Center. This senior role is critical to the success of our global customers, focusing on the strategic design and hands-on implementation of the Elastic Stack with focus on Search AI.

You will serve as a trusted technical architect and consultant, working with complex enterprise environments to translate business challenges into robust, scalable, and value-driven Elastic solutions. The role requires a blend of deep technical expertise, senior-level consulting acumen, and the ability to work effectively across time zones, with both remote support and required on-site client engagement.

What You Will Be Doing

As a member of our professional services team you will deliver Elastic solutions and Elastic stack expertise to drive customer business value from our products. Work with clients to facilitate strategy, roadmap, design, and sizing in workshops. You will apply your soft skills to advocate for your customers, build relationships and exhibit strong communications skills. Comfortability working remotely or on-site in a highly distributed team. Your activities will include end-to-end delivery of ground-breaking Elastic projects to our customers, as well as development of proof-of-concepts that highlight the value of the Elastic Stack and its solutions. Other topics will include Elastic solutions adaption and acceleration along with data modeling, query development and optimization, cluster tuning and scaling with a focus on fast search and analytics at scale.

Daily tasks include driving and handling the objectives, requirements gathering, project tasks, project status, dependencies, and timelines, to ensure engagements are delivered optimally and on time while meeting and exceeding the customer objectives. Your goal is to make your customers love Elastic and achieve amazing value from the platform!

Work across teams with engineering, product management, and support teams to identify feature improvements, extensions, and product defects. Facilitate feedback from the field back to the product. Engage with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns. Be a mentor to your team members, while also learning from them to accelerate your skills

What You Bring

Essential Qualifications

  • Elastic Certification: Required – Active Elastic Certified Engineer certification is mandatory.
  • Experience: Minimum of 7+ years as a Consulting Architect, Senior Technical Consultant, or equivalent senior IT functional role.
  • Consulting History: A strong history of working as a Consultant delivering professional services engagements in complex enterprise environments.
  • Domain Expertise: Proven experience in deploying solutions using Elastic core domain: Enterprise Search.
  • Experience in solving complex technical search problems in terms of relevancy, scaling, performance fine-tuning, building a platform to handle high query throughputs and indexing throughput, benchmarking clusters to achieve optimal performance.
  • Experience in leading and delivering Enterprise Search projects at both the architectural and program level.
  • Experience in GenAI, Retrieval Augmented Generation (RAG) and vector embeddings.
  • Deep understanding of distributed architecture including application, database and systems.
  • Cloud & Infrastructure: Hands-on experience with on-prem systems and/or major public/private cloud platforms (AWS, Azure, GCP).
  • Technical Depth: Hands-on experience in Linux, networking, security, containerization (Docker/Kubernetes), and infrastructure automation.
  • Programming/Scripting: Experience utilizing programming or scripting languages in a corporate environment (e.g., Python, Javascript, Go).
  • Communication: Exceptional customer advocacy, relationship-building, and soft skills including whiteboarding and driving architectural conversations. Proven ability to lead and articulate technical solutions to stakeholders.
  • Travel: Ability and willingness to travel to client sites periodically as required for project success (up to 20%) 
  • Work Style: Comfortable working effectively in a highly distributed and remote team, spanning multiple global time zones.
  • BS or Master's degree in Computer Science or a related technical field.
Bonus Points
  • Familiarity/Experience in implementing similar products in Search Domain(Solr, Algolia, Open Search)
  • Any cloud service provider's - Gen AI certification.
  • Additional Elastic Certifications (e.g., Elastic Certified Analyst, Specializations) and/or specialization in machine learning, data analytics.
  • Experience working closely with a pre-sales organization in scoping customer needs and delivering against a Statement of Work (SOW).
  • Experience as a technical instructor or public speaker on enterprise infrastructure software.
  • Experience contributing to an open-source project or documentation.

#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 [email protected]. 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)

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

Skills Required

  • Active Elastic Certified Engineer certification
  • 7+ years as a Consulting Architect, Senior Technical Consultant, or equivalent senior IT professional
  • Strong consulting history delivering professional services engagements in complex enterprise environments
  • Proven experience deploying Enterprise Search solutions using Elastic
  • Experience solving complex search problems involving relevancy, scaling, performance tuning, high query throughput, indexing throughput, and cluster benchmarking
  • Experience leading and delivering Enterprise Search projects at architectural and program levels
  • Experience with Generative AI, Retrieval Augmented Generation, and vector embeddings
  • Deep understanding of distributed application, database, and systems architecture
  • Hands-on experience with on-premises systems or AWS, Azure, or GCP
  • Hands-on experience with Linux, networking, security, Docker or Kubernetes, and infrastructure automation
  • Programming or scripting experience in Python, JavaScript, Go, or similar languages
  • Exceptional customer advocacy, relationship-building, communication, whiteboarding, and architectural leadership skills
  • Ability and willingness to travel to client sites periodically, up to 20%
  • Ability to work effectively in a distributed team across global time zones
  • Bachelor’s or master’s degree in Computer Science or a related technical field
  • Experience with Solr, Algolia, or OpenSearch
  • Cloud service provider Generative AI certification
  • Additional Elastic certifications or specialization in machine learning or data analytics
  • Experience working with pre-sales teams to scope customer needs and deliver Statements of Work
  • Experience as a technical instructor or public speaker on enterprise infrastructure software
  • Open-source project or documentation contributions

Elastic Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Elastic and has not been reviewed or approved by Elastic.

  • Fair & Transparent Compensation Pay is considered competitive across many technical and go‑to‑market roles and compares well within its peer group. Strong equity components and benefits bolster perceived total compensation.
  • Healthcare Strength Health coverage is described as fully paid for employees and families in many locations, which is unusually generous among tech firms. Comprehensive medical, dental, and vision coverage is emphasized in official materials.
  • Parental & Family Support A minimum of 16 weeks of paid parental leave is offered globally, with additional family‑formation support. These policies are positioned as core elements of the package.

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The Company
HQ: San Francisco, CA
3,222 Employees
Year Founded: 2012

What We Do

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.

Why Work With Us

Free and open isn’t just how we build our products, it’s how we build our culture. We value creativity and mobility, so you can grow how (and where) you want to… and be happier at work.

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