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Elastic is a free and open search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and at scale. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, with Elasticians around the globe. Come join our team as a STC, Search and step into a world of possibilities where collaboration knows no bounds. As an integral part of our diverse community, you'll work alongside a dynamic mix of professionals from services, engineering, and sales backgrounds, each bringing their unique perspective to the table. Together, we'll shape the success story of both Elastic and our cherished customers. Your journey with us will be defined by delivering Elastic solutions and applying your expertise in the Elastic Stack to drive real, tangible value for our clients. You won't just be another cog in the machine; your contributions will be pivotal in conducting workshops that map out strategies, design roadmaps, and plan capacities in environments critical to our customers' success. Building lasting relationships with our customers is at the heart of what we do. You'll champion their needs, advocate for them, and ensure their voices are heard loud and clear. And all of this will happen in a remote, highly distributed team setup where your individuality and unique background will be celebrated. As a STC, Search you'll be entrusted with the task of creating captivating proof-of-concepts that highlight the value proposition of the Elastic Stack and its solutions. Your expertise will be the driving force behind accelerating the adoption of Elastic solutions, optimizing queries, fine-tuning clusters, and delivering lightning-fast search and analytics at sca In this role, collaboration isn't just a buzzword; it's our way of life. You'll work closely with our engineering, product management, and support teams, ensuring that your insights and feedback from the field shape our products and services. Together, we'll assess technical aspects, identify risks, and seize opportunities to tailor engagements effectively along To thrive in this role, we're looking for candidates who bring:

Validated experience as a Search Engineer or Search Architect, with a solid grasp of Elastic, Vector Search, and GenAI technologies. Data Science degree preferred Deep understanding of E-Commerce search solutions, query development, relevancy tuning, and implementing Natural Language Processing (NLP) use cases. A background in open-source machine learning frameworks like PyTorch, backed by a degree in Computer Science or related field (or equivalent experience). Hands-on experience with Elasticsearch and/or Lucene. A genuine passion for open-source technology and proficiency in at least one programming language. Strong knowledge of large distributed systems and application infrastructure. Flexibility to travel occasionally for business needs. In addition to the above, bonus points are awarded for experiences such as:

Big 4 Consulting experience Elastic Certified Engineer certification. Proficiency in Ansible, JavaScript, Terraform, ECK, or Kubernetes. Expertise in machine learning and Artificial Intelligence (AI). Deep understanding of Java and Linux/Unix environments. Contributing to open-source projects or documentation. Join us in shaping the future of search technology, where diversity is celebrated, collaboration thrives, and every voice matters. Together, let's build solutions that make a real difference in the world.

Compensation for this role is in the form of base salary. This role does not have a variable compensation compo ent.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $113,100-$178,900 USD

The typical starting salary range for this role in the select locations listed above is: $135,900-$215,100 USD 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... For full info follow application link.

Different people approach problems differently. We need that. Elastic is