Consulting Architect, Search

What is The Role

You will have the opportunity to work with a tremendous services, engineering, product, and sales team and wear many hats. This is a meaningful role, as a Consulting Architect, Search, you have an outstanding chance to create an immediate impact on the success of Elastic and our customers.

This role will be based in Mumbai or Bangalore or Gurgaon due to our customer growth in the region.

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.

Minimum 8 years as a consultant, engineer or architect who has deep expertise in Enterprise Search concepts and technology, including generative AI technologies. This should include solid experience deploying Elastic Search solutions or similar domains (Solr, Algolia, AWS OpenSearch, Palantir, Unbxd, e-commerce site search engines). You have designed and built custom search experiences for major customers, focussed on achieving and delivering value for their business.

• 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 leading Enterprise Search projects at both the architectural and program level.
• Experience working with monitoring tools that integrate into service management.
• Bachelor's, Master's or PhD in Computer Science or related engineering field preferred, or equivalent combination of education, training, and experience.
• Experience working to deliver and complete professional services engagements.
• Experience as a public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions.
• Excel at working directly with customers to capture, prioritize, plan and implement solutions aligned to customer business requirements as it relates to our technologies.
• Understanding and passion for open-source technology as well as knowledge and proficiency in at least one programming language.
• Strong hands-on experience with large distributed systems and application infrastructure from an architecture and development perspective.
• Knowledge of information retrieval and/or analytics domain.
• Understanding and/or certification in one or more of the following technology Kubernetes, Linux, Java and databases, Docker, Amazon Web Service (AWS), Azure, Google Cloud (GCP), Kafka, Redis, VM's, Lucene.
• Occasional travel may be required.

• Certifications and specialization in Data Science, Data Analytics, Data Engineering, Machine Learning, NLP, Data Infrastructure, analytics
• Big 4 Experience
• Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
• Experience working closely with a pre-sales organization in scoping the needs of Customers
• Comfortable with Ansible, JavaScript, Terraform
• ECK experience or Kubernetes
• Knowledge of machine learning and Artificial Intelligence (AI)
• Proven understanding of Java and Linux/Unix environment, software development, and/or experience with distributed systems
• Experience and curiosity about delivering and/or developing product training
• Experience contributing to an open-source project or documentation

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