Jackson Parker Operating · 1 week ago
Senior Search Engineer
Jackson Parker Operating builds advanced search-technology systems combining large-scale crawling, embeddings, information retrieval, and modern LLM-driven workflows. They are seeking a Senior Search Engineer who will be responsible for building and scaling backend systems, integrating LLM workflows, and optimizing performance across various technologies.
Management Consulting
Responsibilities
Build and scale Java/J2EE backend systems powering large-scale search modeling and data pipelines
Develop high-performance data-access layers using Hibernate ORM
Integrate LLM workflows (Claude, OpenAI) into engineering processes and backend logic
Use Claude to dramatically scale code output , from thousands to tens of thousands of lines per week when needed
Build embedding-driven pipelines, vector workflows, and retrieval systems
Architect and maintain distributed crawling and large-data processing systems
Optimize PostgreSQL for high throughput and large dataset performance
Develop REST/JSON APIs and integrate with AWS services (EC2, RDS, S3)
Contribute to UI components using JSF/PrimeFaces
Improve reliability, performance, observability, and scalability across the stack
Participate in an engineering availability rotation for mission-critical systems
Write clean, testable code and proactively propose architectural improvements
Qualification
Required
Strong proficiency with Hibernate ORM
5+ years of Java/J2EE backend engineering
Direct experience using LLMs (Claude, OpenAI) to generate production-quality code
Ability to scale output significantly using AI — including multi-file, multi-module, architectural-level code generation
Experience with embeddings, cosine similarity, vector pipelines, or other ML-adjacent retrieval systems
PostgreSQL expertise, including performance tuning and handling very large datasets
Experience deploying and operating systems on AWS
Git/GitHub proficiency
Strong debugging, architectural reasoning, and problem-solving skills
Preferred
Experience with search/IR systems (Lucene, Elasticsearch, semantic search, vector search)
Distributed crawling, ETL, or high-volume data flow experience
Docker/Kubernetes
CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
Experience with JSF/PrimeFaces
Experience building embedding-driven ranking or scoring pipelines
Benefits
Health, dental, vision, and technology stipend
401(k)
Dental insurance
Health insurance
Vision insurance
Company
Jackson Parker Operating
Funding
Current Stage
Growth StageCompany data provided by crunchbase