Senior Search Engineer
SearchStaxAbout the role
About us
SearchStax is a leading cloud-native search platform enabling web teams to deliver powerful search in an easy, fast, and cost-effective way. We are on a mission to make powerful search easy for enterprises across the globe. Our products are used by 600+ brand-name customers. The search market is growing fast. We are self-funded, profitable, and uniquely positioned to continue leading the search market for many years to come.
Our team is composed of smart, driven subject matter experts who love to collaborate and solve problems in new / creative ways. We value the importance of bringing diverse backgrounds and interests to the collaboration process. We prioritize work-life balance and strive to promote an energizing and healthy environment.
Our Values
Ownership
Lead Humbly
Results Focused
Customer Obsession
Embrace and Drive Change
Innovation and Continual Improvement
About the Role
Join us as a Senior Search Engineer and be at the heart of building something game-changing. As a key member of our small, collaborative team, you’ll take ownership of critical search initiatives, serving as our go-to expert in search engineering. Your impact will be immediate, and you'll have the freedom to shape and innovate, driving our search technology forward.
If you're excited about working in a fast-paced startup where every day brings new challenges and opportunities, and you thrive in an environment that values agility and innovation, we’d love to hear from you. Check out the sample projects below – if they inspire you, let's connect!
What You Will Do
Build and deploy search-centric systems with a focus on:
Relevance-based ranking and result optimization for search engines
Intelligent query understanding, including expansion and correction
Efficient indexing techniques for large-scale data
Develop and maintain custom Java Solr plugin
Implementation of scalable, distributed search systems
Integration of search technologies like Solr, Elasticsearch, or Lucene with data storage solutions
Implementation of performance monitoring and tuning strategies for search system optimization
What You Must Have
About 5-8 years of experience of Search Engineering experience
Proven track record of success in implementing search algorithms and working with large-scale search infrastructure
In-depth knowledge of information retrieval concepts (e.g., indexing, ranking algorithms, query parsing, relevance models)
Proficient in backend languages including Java and Python (required)
Experience with large-scale distributed systems, and their scaling
Familiarity with integrating search technologies into complex backend systems and optimizing for performance
Knowledge of ML, DL, NLP, LLMs, query intent identification, and ranking optimization is a plus
A team-first mindset, where you're willing to set aside exciting ideas to support key projects and help the team achieve greater success together
A Bachelor’s degree in Computer Science, Information Retrieval, or a related field. A Master’s degree is a plus.
What's In It For You
🌍 Remote-First: We're a diverse team spanning the United States and India, with collaborative workspaces in Los Angeles, CA and Boston, MA.
💰 Competitive Compensation & Stock Options: We want you to share in our success. As a team member, you'll have the chance to become a shareholder.
🌱 401k Match: We offer a 4% match on 401k contributions to help you save for the future.
💉 Healthcare Benefits: Your health matters! We've got you covered with comprehensive medical, dental, and vision plans. Best of all, we foot the bill for 100% of employee-only premiums.
🌴 Paid Time Off: We value work-life balance - enjoy 26 days off per year.
🚀 Exciting Growth Opportunities: We are building cutting-edge open source and cloud technology. There is no shortage of opportunities to innovate and grow your career.
Pay Transparency
Base Salary: The initial OTE for this role is estimated to range from $170,000 -$190,000.
Salary Structure: Our salary ranges are determined by market analysis and are designed to evolve with job performance over time.
Additional Benefits:
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