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.
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 Singapore and must be a Singaporean due to our customer needs within the Government sector. The role will allow you to have a positive effect on the lives of all Singaporeans!
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 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. 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 Along:Minimum 5 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
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 encryption software and technology that is subject to U.S. 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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.
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